IBM SPSS Web Report - Regional study to correlate factors.spv   


Contents
Previous
Next
Help
Controls disabled by the system
 

 
Log
Log - Log - February 24, 2020

FACTOR
  /VARIABLES K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8c L8d
    L8g L8h L8i L8k M1trust M2dTradBIN M2eGVHBIN M2fVHBIN M2jPoliceBIN M2lTeachBIN M2mSchABIN
    M2nRelLeBIN M3aFamilBIN M3bRelatBIN M3cOwnVBIN M3dOutsVBIN M3eSaEthBIN M3fOutsEtBIN M3gSaChMBIN
    M3hNSaChMBIN
  /MISSING LISTWISE
  /ANALYSIS K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8c L8d
    L8g L8h L8i L8k M1trust M2dTradBIN M2eGVHBIN M2fVHBIN M2jPoliceBIN M2lTeachBIN M2mSchABIN
    M2nRelLeBIN M3aFamilBIN M3bRelatBIN M3cOwnVBIN M3dOutsVBIN M3eSaEthBIN M3fOutsEtBIN M3gSaChMBIN
    M3hNSaChMBIN
  /PRINT UNIVARIATE INITIAL EXTRACTION ROTATION
  /PLOT EIGEN ROTATION
  /CRITERIA FACTORS(9) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /SAVE REG(ALL)
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Descriptive Statistics - February 24, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 44 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .44 .497 224
K1b Lending money to relatives .48 .501 224
K1c Lending money to people in your own village .38 .487 224
K1d Lending money to people outside the village .15 .355 224
K1e Lending money to people from the same mosque/ church .15 .360 224
K2a Lending tools like axes, hoes etc. to family members .71 .453 224
K2b Lending tools like axes, hoes etc. to relatives outside the household .77 .423 224
K2c Lending tools like axes, hoes etc. to people in your own village .65 .477 224
K2d Lending tools like axes, hoes etc. to people outside the village .24 .429 224
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .27 .446 224
L2 Participated in cooperative agricultural work .39 .489 224
L3.a. Participated last 12 months in cooperative work of preparing a garden .21 .405 224
L3.b. Participated last12 months in cooperative work of planting .07 .251 224
L3.d. Participated last 12 months in cooperative work of weeding .17 .372 224
L3.e. Participated last 12 months in cooperative work of harvesting .20 .398 224
L3.f. Participated last 12 months in cooperative work of other agriculture work .15 .355 224
L6 Participation in other exchange work than agriculture .52 .501 224
L7 Participated in public works without payment during the last year .79 .408 224
L8.a. Participated in school project over the last 12 months .49 .501 224
L8.b. Participated in road project over the last 12 months .53 .500 224
L8.c. Participated in bridge project over the last 12 months .27 .446 224
L8.d. Participated in church project over the last 12 months .27 .444 224
L8.g. Participated in health centre project over the last 12 months .14 .351 224
L8.h. Participated in irrigation project over the last 12 months .12 .326 224
L8.i. Participated in borehole project over the last 12 months .28 .451 224
L8.k. Participated in graveyard clearing project over the last 12 months .42 .494 224
M1 Most people can be trusted (1) or you cannot be too careful (0) .44 .498 224
M2.d. Trust in Traditional Authorities .59 .492 224
M2.e. Trust in group village headmen .55 .499 224
M2.f. Trust in village headmen .58 .495 224
M2.j. Trust in police .55 .498 224
M2.l. Trust in teachers .59 .493 224
M2.m.Trust in school administrators .58 .495 224
M2.n. Trust in religious leaders .66 .476 224
M3.a. Trust in family members .81 .391 224
M3.b. Trust in relatives .60 .490 224
M3.c. Trust in people in own village .40 .490 224
M3.d. Trust in people outside the village .22 .414 224
M3.e. Trust in people of same ethnic group .33 .471 224
M3.f. Trust in people outside ethnic group .21 .411 224
M3.g. Trust in people from same church/ mosque .50 .501 224
M3.h. Trust in people not from same church/ mosque .28 .451 224
Factor Analysis
Factor Analysis - Communalities - February 24, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 46 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .247 .176 1.000 .714
K1b Lending money to relatives .251 .189 1.000 .754
K1c Lending money to people in your own village .238 .168 1.000 .708
K1d Lending money to people outside the village .126 .054 1.000 .431
K1e Lending money to people from the same mosque/ church .129 .042 1.000 .327
K2a Lending tools like axes, hoes etc. to family members .205 .102 1.000 .499
K2b Lending tools like axes, hoes etc. to relatives outside the household .179 .099 1.000 .554
K2c Lending tools like axes, hoes etc. to people in your own village .228 .137 1.000 .602
K2d Lending tools like axes, hoes etc. to people outside the village .184 .112 1.000 .610
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .199 .132 1.000 .662
L2 Participated in cooperative agricultural work .240 .197 1.000 .822
L3.a. Participated last 12 months in cooperative work of preparing a garden .164 .081 1.000 .492
L3.b. Participated last12 months in cooperative work of planting .063 .016 1.000 .256
L3.d. Participated last 12 months in cooperative work of weeding .139 .073 1.000 .525
L3.e. Participated last 12 months in cooperative work of harvesting .159 .088 1.000 .555
L3.f. Participated last 12 months in cooperative work of other agriculture work .126 .069 1.000 .546
L6 Participation in other exchange work than agriculture .251 .152 1.000 .605
L7 Participated in public works without payment during the last year .167 .124 1.000 .742
L8.a. Participated in school project over the last 12 months .251 .154 1.000 .614
L8.b. Participated in road project over the last 12 months .250 .180 1.000 .721
L8.c. Participated in bridge project over the last 12 months .199 .079 1.000 .396
L8.d. Participated in church project over the last 12 months .197 .110 1.000 .558
L8.g. Participated in health centre project over the last 12 months .123 .044 1.000 .356
L8.h. Participated in irrigation project over the last 12 months .106 .031 1.000 .287
L8.i. Participated in borehole project over the last 12 months .203 .129 1.000 .636
L8.k. Participated in graveyard clearing project over the last 12 months .244 .182 1.000 .748
M1 Most people can be trusted (1) or you cannot be too careful (0) .248 .166 1.000 .671
M2.d. Trust in Traditional Authorities .242 .176 1.000 .728
M2.e. Trust in group village headmen .249 .205 1.000 .823
M2.f. Trust in village headmen .245 .180 1.000 .738
M2.j. Trust in police .248 .135 1.000 .543
M2.l. Trust in teachers .243 .159 1.000 .653
M2.m.Trust in school administrators .245 .185 1.000 .757
M2.n. Trust in religious leaders .227 .125 1.000 .554
M3.a. Trust in family members .153 .069 1.000 .453
M3.b. Trust in relatives .241 .154 1.000 .639
M3.c. Trust in people in own village .241 .157 1.000 .652
M3.d. Trust in people outside the village .172 .102 1.000 .593
M3.e. Trust in people of same ethnic group .222 .156 1.000 .701
M3.f. Trust in people outside ethnic group .169 .111 1.000 .656
M3.g. Trust in people from same church/ mosque .251 .172 1.000 .685
M3.h. Trust in people not from same church/ mosque .203 .143 1.000 .707
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - February 24, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 89 rows
  Component Initial Eigenvaluesa Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings
  Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %
Raw 1 1.539 18.184 18.184 1.539 18.184 18.184 .911 10.761 10.761
2 1.047 12.372 30.557 1.047 12.372 30.557 .635 7.501 18.262
3 .689 8.136 38.693 .689 8.136 38.693 .674 7.967 26.229
4 .478 5.643 44.335 .478 5.643 44.335 .693 8.187 34.416
5 .408 4.826 49.161 .408 4.826 49.161 .642 7.589 42.005
6 .362 4.274 53.435 .362 4.274 53.435 .517 6.112 48.117
7 .294 3.478 56.913 .294 3.478 56.913 .514 6.070 54.187
8 .255 3.019 59.932 .255 3.019 59.932 .371 4.379 58.566
9 .244 2.882 62.814 .244 2.882 62.814 .360 4.248 62.814
10 .229 2.707 65.521            
11 .206 2.439 67.960            
12 .198 2.339 70.299            
13 .171 2.018 72.316            
14 .163 1.929 74.245            
15 .152 1.796 76.041            
16 .135 1.594 77.636            
17 .132 1.558 79.194            
18 .127 1.506 80.700            
19 .125 1.478 82.178            
20 .110 1.299 83.478            
21 .105 1.243 84.721            
22 .103 1.219 85.940            
23 .101 1.190 87.130            
24 .095 1.124 88.254            
25 .089 1.052 89.305            
26 .087 1.033 90.338            
27 .079 .930 91.268            
28 .076 .897 92.165            
29 .067 .790 92.955            
30 .065 .771 93.726            
31 .060 .712 94.438            
32 .057 .678 95.116            
33 .056 .667 95.783            
34 .055 .647 96.430            
35 .050 .585 97.015            
36 .046 .543 97.559            
37 .044 .524 98.083            
38 .041 .485 98.568            
39 .034 .399 98.966            
40 .033 .387 99.353            
41 .030 .352 99.705            
42 .025 .295 100.000            
Rescaled 1 1.539 18.184 18.184 6.953 16.555 16.555 4.264 10.152 10.152
2 1.047 12.372 30.557 5.056 12.039 28.594 3.457 8.231 18.383
3 .689 8.136 38.693 3.454 8.225 36.819 3.399 8.094 26.477
4 .478 5.643 44.335 2.411 5.742 42.560 3.217 7.660 34.137
5 .408 4.826 49.161 1.948 4.638 47.198 2.708 6.448 40.585
6 .362 4.274 53.435 1.733 4.126 51.325 2.619 6.235 46.820
7 .294 3.478 56.913 1.352 3.219 54.544 2.241 5.335 52.155
8 .255 3.019 59.932 1.160 2.761 57.305 1.841 4.383 56.538
9 .244 2.882 62.814 1.202 2.861 60.166 1.524 3.628 60.166
10 .229 2.707 65.521            
11 .206 2.439 67.960            
12 .198 2.339 70.299            
13 .171 2.018 72.316            
14 .163 1.929 74.245            
15 .152 1.796 76.041            
16 .135 1.594 77.636            
17 .132 1.558 79.194            
18 .127 1.506 80.700            
19 .125 1.478 82.178            
20 .110 1.299 83.478            
21 .105 1.243 84.721            
22 .103 1.219 85.940            
23 .101 1.190 87.130            
24 .095 1.124 88.254            
25 .089 1.052 89.305            
26 .087 1.033 90.338            
27 .079 .930 91.268            
28 .076 .897 92.165            
29 .067 .790 92.955            
30 .065 .771 93.726            
31 .060 .712 94.438            
32 .057 .678 95.116            
33 .056 .667 95.783            
34 .055 .647 96.430            
35 .050 .585 97.015            
36 .046 .543 97.559            
37 .044 .524 98.083            
38 .041 .485 98.568            
39 .034 .399 98.966            
40 .033 .387 99.353            
41 .030 .352 99.705            
42 .025 .295 100.000            
Extraction Method: Principal Component Analysis.
a. When analyzing a covariance matrix, the initial eigenvalues are the same across the raw and rescaled solution.
Factor Analysis
Factor Analysis - Scree Plot - February 24, 2020
Scree Plot Component Number: 42
Eigenvalue: 0.0250 Component Number: 41
Eigenvalue: 0.0298 Component Number: 40
Eigenvalue: 0.0327 Component Number: 39
Eigenvalue: 0.0337 Component Number: 38
Eigenvalue: 0.0410 Component Number: 37
Eigenvalue: 0.0444 Component Number: 36
Eigenvalue: 0.0460 Component Number: 35
Eigenvalue: 0.0495 Component Number: 34
Eigenvalue: 0.0548 Component Number: 33
Eigenvalue: 0.0565 Component Number: 32
Eigenvalue: 0.0574 Component Number: 31
Eigenvalue: 0.0602 Component Number: 30
Eigenvalue: 0.0653 Component Number: 29
Eigenvalue: 0.0668 Component Number: 28
Eigenvalue: 0.0759 Component Number: 27
Eigenvalue: 0.0787 Component Number: 26
Eigenvalue: 0.0874 Component Number: 25
Eigenvalue: 0.0890 Component Number: 24
Eigenvalue: 0.0951 Component Number: 23
Eigenvalue: 0.1007 Component Number: 22
Eigenvalue: 0.1032 Component Number: 21
Eigenvalue: 0.1052 Component Number: 20
Eigenvalue: 0.1100 Component Number: 19
Eigenvalue: 0.1251 Component Number: 18
Eigenvalue: 0.1275 Component Number: 17
Eigenvalue: 0.1319 Component Number: 16
Eigenvalue: 0.1349 Component Number: 15
Eigenvalue: 0.1520 Component Number: 14
Eigenvalue: 0.1633 Component Number: 13
Eigenvalue: 0.1708 Component Number: 12
Eigenvalue: 0.1979 Component Number: 11
Eigenvalue: 0.2064 Component Number: 10
Eigenvalue: 0.2291 Component Number: 9
Eigenvalue: 0.2439 Component Number: 8
Eigenvalue: 0.2555 Component Number: 7
Eigenvalue: 0.2943 Component Number: 6
Eigenvalue: 0.3617 Component Number: 5
Eigenvalue: 0.4084 Component Number: 4
Eigenvalue: 0.4776 Component Number: 3
Eigenvalue: 0.6886 Component Number: 2
Eigenvalue: 1.0471 Component Number: 1
Eigenvalue: 1.5390 Component Number: 41
Eigenvalue: 0.0298 Component Number: 40
Eigenvalue: 0.0327 Component Number: 39
Eigenvalue: 0.0337 Component Number: 38
Eigenvalue: 0.0410 Component Number: 37
Eigenvalue: 0.0444 Component Number: 36
Eigenvalue: 0.0460 Component Number: 35
Eigenvalue: 0.0495 Component Number: 34
Eigenvalue: 0.0548 Component Number: 33
Eigenvalue: 0.0565 Component Number: 32
Eigenvalue: 0.0574 Component Number: 31
Eigenvalue: 0.0602 Component Number: 30
Eigenvalue: 0.0653 Component Number: 29
Eigenvalue: 0.0668 Component Number: 28
Eigenvalue: 0.0759 Component Number: 27
Eigenvalue: 0.0787 Component Number: 26
Eigenvalue: 0.0874 Component Number: 25
Eigenvalue: 0.0890 Component Number: 24
Eigenvalue: 0.0951 Component Number: 23
Eigenvalue: 0.1007 Component Number: 22
Eigenvalue: 0.1032 Component Number: 21
Eigenvalue: 0.1052 Component Number: 20
Eigenvalue: 0.1100 Component Number: 19
Eigenvalue: 0.1251 Component Number: 18
Eigenvalue: 0.1275 Component Number: 17
Eigenvalue: 0.1319 Component Number: 16
Eigenvalue: 0.1349 Component Number: 15
Eigenvalue: 0.1520 Component Number: 14
Eigenvalue: 0.1633 Component Number: 13
Eigenvalue: 0.1708 Component Number: 12
Eigenvalue: 0.1979 Component Number: 11
Eigenvalue: 0.2064 Component Number: 10
Eigenvalue: 0.2291 Component Number: 9
Eigenvalue: 0.2439 Component Number: 8
Eigenvalue: 0.2555 Component Number: 7
Eigenvalue: 0.2943 Component Number: 6
Eigenvalue: 0.3617 Component Number: 5
Eigenvalue: 0.4084 Component Number: 4
Eigenvalue: 0.4776 Component Number: 3
Eigenvalue: 0.6886 Component Number: 2
Eigenvalue: 1.0471 Component Number: 1
Eigenvalue: 1.5390 0.0 0.5 1.0 1.5 2.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41

{"copyright":"(C) Copyright IBM Corp. 2011","grammar":[{"elements":[{"data":{"$ref":"dSource"},"style":{"outline":{"r":0,"b":0,"g":0},"fill":{"r":0,"b":157,"g":100},"stroke":{"width":3.3333333}},"position":[{"field":{"$ref":"fVariable1"}},{"field":{"$ref":"fVariable"}}],"type":"line"},{"data":{"$ref":"dSource"},"style":{"symbol":"circle","outline":{"r":0,"b":157,"g":100},"size":6.6666665,"fill":{"r":119,"b":119,"g":118}},"position":[{"field":{"$ref":"fVariable1"}},{"field":{"$ref":"fVariable"}}],"type":"point"}],"coordinates":{"style":{"outline":{"r":0,"b":157,"g":100},"fill":{"r":255,"b":255,"g":255}},"dimensions":[{"scale":{"padding":{"left":"5%","right":"5%"}},"axis":[{"tickStyle":{"padding":5.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"8pt","weight":"normal","family":"sans-serif"}},"gridStyle":{"fill":{"r":0,"b":157,"g":100}},"lineStyle":{"fill":{"r":0,"b":157,"g":100},"stroke":{"width":0.6666667}},"titleStyle":{"padding":6.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"title":["Eigenvalue"],"markStyle":{"fill":{"a":0,"r":0,"b":157,"g":100},"stroke":{"width":1.3333334}}}]},{"scale":{"padding":{"left":"5%","right":"5%"}},"axis":[{"tickStyle":{"padding":5.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"normal","family":"sans-serif"}},"lineStyle":{"fill":{"r":0,"b":157,"g":100},"stroke":{"width":0.6666667}},"titleStyle":{"padding":6.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"title":["Component Number"],"markStyle":{"fill":{"a":0,"r":0,"b":157,"g":100},"stroke":{"width":1.3333334}}}]}]}}],"data":[{"id":"dSource","fields":[{"id":"fVariable","label":"Component Number","categories":[]},{"min":0.02499012576840333,"max":1.539017957000841,"id":"fVariable1","label":"Eigenvalue"}],"rows":[[0,1.539017957000841],[1,1.047104324501706],[2,0.6885988615981087],[3,0.4775531222801953],[4,0.4084283623138255],[5,0.361729483472461],[6,0.2943327092597081],[7,0.2554761420774903],[8,0.2438999444937555],[9,0.229127622820076],[10,0.206436869192769],[11,0.1979168156612566],[12,0.1707531279391406],[13,0.1632559002978724],[14,0.1520375241774671],[15,0.1349229425805507],[16,0.1318910360174257],[17,0.1274597981908159],[18,0.1250932042771459],[19,0.1099814109994469],[20,0.1052170018633076],[21,0.103189758321534],[22,0.1006986214763294],[23,0.09510210538828014],[24,0.08899786320326394],[25,0.08742670243304994],[26,0.07873105776851139],[27,0.07591192277762841],[28,0.06682675439913222],[29,0.06527991268194606],[30,0.06022124494977967],[31,0.05737758060335785],[32,0.05646552211351276],[33,0.05477586683586803],[34,0.04952618183482261],[35,0.04598066125283487],[36,0.04437271858723837],[37,0.04101154171135198],[38,0.03373011485638329],[39,0.03274645725516138],[40,0.02976795500327079],[41,0.02499012576840333]]}],"size":{"width":850.0,"height":500.0},"style":{"outline":{"a":0.0,"r":0,"b":0,"g":0},"fill":{"r":255,"b":255,"g":255}},"titles":[{"backgroundStyle":{"outline":{"a":0.0,"r":0,"b":0,"g":0},"fill":{"a":0.0,"r":0,"b":0,"g":0}},"style":{"padding":3.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"type":"title","content":["Scree Plot"]}],"version":"6.0"}

Factor Analysis
Factor Analysis - Component Matrix - February 24, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 19 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9
K1a Lending money to family members .067 .342 .032 -.118 -.066 .177 -.038 -.010 -.053 .134 .688 .064 -.237 -.133 .356 -.077 -.021 -.107
K1b Lending money to relatives .098 .358 .015 -.092 -.047 .185 -.054 -.004 -.060 .196 .714 .031 -.184 -.093 .369 -.108 -.009 -.119
K1c Lending money to people in your own village .135 .329 .059 -.061 .019 .141 .009 -.016 -.118 .276 .675 .121 -.124 .038 .290 .019 -.032 -.242
K1d Lending money to people outside the village .058 .157 .103 -.003 .000 .014 .016 -.014 -.123 .163 .441 .290 -.007 -.001 .039 .046 -.040 -.347
K1e Lending money to people from the same mosque/ church .042 .152 .092 -.068 .008 .038 -.008 .042 -.033 .117 .422 .256 -.188 .022 .106 -.022 .118 -.091
K2a Lending tools like axes, hoes etc. to family members -.015 .255 .084 -.049 -.115 -.110 .001 -.045 .011 -.032 .563 .186 -.109 -.254 -.243 .002 -.099 .024
K2b Lending tools like axes, hoes etc. to relatives outside the household -.010 .198 .104 -.043 -.115 -.155 -.026 -.054 .078 -.023 .468 .247 -.101 -.272 -.367 -.062 -.128 .185
K2c Lending tools like axes, hoes etc. to people in your own village -.045 .212 .200 -.092 -.048 -.163 -.099 -.041 .039 -.095 .444 .418 -.193 -.101 -.341 -.207 -.086 .081
K2d Lending tools like axes, hoes etc. to people outside the village .008 .082 .200 -.140 -.001 -.186 -.097 .035 -.014 .018 .192 .467 -.327 -.002 -.435 -.225 .082 -.033
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.034 .073 .239 -.132 -.019 -.158 -.150 .027 .048 -.076 .163 .536 -.296 -.043 -.353 -.336 .060 .107
L2 Participated in cooperative agricultural work .138 .258 .070 .202 .220 -.071 .068 .042 .075 .281 .527 .143 .413 .450 -.144 .140 .085 .152
L3.a. Participated last 12 months in cooperative work of preparing a garden .117 .152 .046 .111 .141 -.039 .066 .055 -.028 .289 .374 .113 .274 .348 -.096 .163 .137 -.068
L3.b. Participated last12 months in cooperative work of planting .025 .045 .063 .084 .044 .005 -.005 -.020 .001 .101 .178 .252 .335 .176 .019 -.021 -.081 .006
L3.d. Participated last 12 months in cooperative work of weeding .084 .147 .098 .051 .140 -.063 .082 .003 -.039 .225 .395 .264 .137 .376 -.171 .221 .008 -.105
L3.e. Participated last 12 months in cooperative work of harvesting .086 .154 .036 .185 .129 -.034 .039 -.033 .031 .216 .386 .090 .465 .325 -.086 .097 -.082 .077
L3.f. Participated last 12 months in cooperative work of other agriculture work .125 .156 -.038 .124 -.003 -.009 .013 -.009 .107 .353 .441 -.106 .350 -.008 -.027 .037 -.024 .302
L6 Participation in other exchange work than agriculture .055 .277 .094 .060 -.035 .062 .083 .140 .167 .110 .553 .187 .119 -.071 .124 .166 .280 .333
L7 Participated in public works without payment during the last year -.165 -.209 .179 -.113 .044 .051 .051 .021 -.028 -.403 -.512 .437 -.276 .108 .124 .125 .051 -.069
L8.a. Participated in school project over the last 12 months -.089 -.097 .272 -.045 .188 .151 -.003 .009 -.050 -.177 -.194 .544 -.089 .375 .301 -.006 .019 -.099
L8.b. Participated in road project over the last 12 months -.142 -.128 .331 -.009 -.136 .056 .109 .013 -.009 -.284 -.256 .663 -.018 -.273 .111 .218 .025 -.019
L8.c. Participated in bridge project over the last 12 months -.083 -.064 .212 .039 .081 -.023 .114 -.021 -.028 -.186 -.143 .476 .087 .181 -.052 .256 -.047 -.063
L8.d. Participated in church project over the last 12 months -.059 -.108 .233 .077 .105 .080 -.100 -.061 .055 -.133 -.244 .526 .174 .237 .180 -.226 -.138 .124
L8.g. Participated in health centre project over the last 12 months -.090 -.033 .147 .056 .010 .004 -.021 .079 .056 -.257 -.094 .418 .159 .028 .010 -.060 .224 .160
L8.h. Participated in irrigation project over the last 12 months -.032 -.005 .110 .043 .060 .099 -.005 -.016 -.045 -.099 -.014 .336 .131 .184 .302 -.014 -.049 -.139
L8.i. Participated in borehole project over the last 12 months -.064 -.155 .185 .101 .048 .120 -.093 -.067 .164 -.143 -.343 .410 .224 .107 .266 -.207 -.150 .363
L8.k. Participated in graveyard clearing project over the last 12 months -.159 -.114 .192 -.028 -.229 .084 .180 .100 .070 -.321 -.230 .389 -.057 -.463 .170 .364 .202 .143
M1 Most people can be trusted (1) or you cannot be too careful (0) .235 .048 .053 .163 -.200 -.010 .141 .133 -.038 .473 .097 .107 .327 -.402 -.020 .284 .268 -.077
M2.d. Trust in Traditional Authorities .297 -.096 .004 -.193 .114 .023 -.029 .120 .113 .604 -.195 .008 -.392 .231 .047 -.059 .245 .230
M2.e. Trust in group village headmen .338 -.088 -.034 -.200 .119 .031 -.035 .146 .064 .677 -.176 -.068 -.402 .238 .063 -.070 .292 .128
M2.f. Trust in village headmen .349 -.055 -.058 -.182 .047 .057 -.008 .082 .083 .706 -.112 -.117 -.368 .095 .115 -.015 .166 .167
M2.j. Trust in police .303 -.077 .047 -.025 .074 -.070 .123 .077 -.057 .608 -.154 .094 -.051 .148 -.140 .246 .154 -.115
M2.l. Trust in teachers .271 -.106 .059 -.147 .054 -.041 .142 -.156 -.014 .549 -.215 .120 -.297 .109 -.083 .288 -.316 -.028
M2.m.Trust in school administrators .300 -.076 .056 -.069 .046 -.104 .136 -.222 .028 .606 -.154 .112 -.140 .094 -.211 .274 -.450 .056
M2.n. Trust in religious leaders .277 -.052 .008 -.107 -.101 -.063 .141 -.020 -.011 .581 -.108 .017 -.226 -.213 -.133 .297 -.042 -.024
M3.a. Trust in family members .174 .007 .011 -.003 -.065 .105 .003 -.132 .080 .444 .017 .027 -.007 -.166 .269 .008 -.336 .204
M3.b. Trust in relatives .290 .051 .031 .031 -.070 .160 -.024 -.148 .109 .592 .104 .063 .063 -.144 .326 -.048 -.302 .223
M3.c. Trust in people in own village .344 -.071 .048 .075 -.109 .045 -.061 -.055 .069 .702 -.145 .098 .152 -.222 .092 -.125 -.112 .141
M3.d. Trust in people outside the village .255 -.073 -.002 .131 -.083 -.039 -.071 -.006 .026 .616 -.177 -.005 .316 -.201 -.094 -.171 -.015 .064
M3.e. Trust in people of same ethnic group .304 -.139 .071 .108 -.051 -.024 -.128 .075 -.048 .645 -.296 .150 .229 -.108 -.050 -.271 .158 -.102
M3.f. Trust in people outside ethnic group .241 -.120 .029 .128 -.097 -.017 -.086 .059 -.023 .586 -.292 .070 .312 -.236 -.042 -.209 .144 -.056
M3.g. Trust in people from same church/ mosque .322 -.089 .121 .057 -.016 .030 -.080 -.023 -.186 .642 -.177 .242 .113 -.031 .059 -.160 -.047 -.371
M3.h. Trust in people not from same church/ mosque .255 -.146 .132 .111 -.049 -.044 -.093 .022 -.118 .565 -.324 .293 .246 -.110 -.097 -.206 .050 -.263
Extraction Method: Principal Component Analysis.
a. 9 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - February 24, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 19 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9
K1a Lending money to family members -.060 .031 -.058 .392 .017 .066 -.039 .093 .002 -.120 .062 -.117 .789 .033 .132 -.079 .187 .004
K1b Lending money to relatives -.036 .062 -.070 .404 .026 .048 -.050 .099 -.021 -.072 .124 -.140 .807 .052 .096 -.101 .197 -.042
K1c Lending money to people in your own village -.004 .126 -.029 .384 .018 .031 .033 .034 -.024 -.008 .259 -.059 .787 .038 .064 .067 .070 -.049
K1d Lending money to people outside the village .042 .079 .023 .188 -.047 .061 .050 -.044 .003 .120 .222 .064 .529 -.133 .173 .140 -.123 .009
K1e Lending money to people from the same mosque/ church -.010 .048 .023 .172 .045 .083 -.005 -.014 .024 -.028 .135 .063 .479 .125 .230 -.015 -.039 .066
K2a Lending tools like axes, hoes etc. to family members -.051 .062 -.098 .143 -.091 .231 .016 .028 .055 -.113 .137 -.215 .317 -.202 .510 .036 .062 .121
K2b Lending tools like axes, hoes etc. to relatives outside the household -.035 .055 -.081 .057 -.070 .271 .014 .061 .053 -.083 .129 -.192 .135 -.165 .640 .033 .144 .126
K2c Lending tools like axes, hoes etc. to people in your own village -.042 .048 .018 .095 -.049 .348 -.008 .006 -.003 -.089 .101 .038 .199 -.103 .729 -.017 .012 -.006
K2d Lending tools like axes, hoes etc. to people outside the village .025 .000 .048 .039 .051 .309 .028 -.091 -.014 .057 -.001 .113 .092 .120 .721 .065 -.213 -.032
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .012 -.024 .097 .020 .044 .342 -.031 -.035 -.008 .027 -.055 .217 .046 .098 .767 -.070 -.078 -.018
L2 Participated in cooperative agricultural work .004 .436 -.004 .060 .034 .040 -.009 .015 -.018 .007 .890 -.008 .122 .070 .082 -.018 .030 -.036
L3.a. Participated last 12 months in cooperative work of preparing a garden .038 .263 -.005 .075 .034 -.002 .025 -.051 -.005 .093 .650 -.012 .185 .084 -.004 .061 -.126 -.013
L3.b. Participated last12 months in cooperative work of planting .033 .100 .052 .018 -.033 .011 -.005 .022 -.010 .132 .401 .208 .070 -.134 .044 -.021 .087 -.039
L3.d. Participated last 12 months in cooperative work of weeding -.001 .227 .035 .080 .014 .053 .083 -.060 -.008 -.002 .611 .093 .215 .038 .143 .223 -.160 -.022
L3.e. Participated last 12 months in cooperative work of harvesting .025 .286 .003 .027 -.043 -.003 .007 .041 -.035 .063 .719 .009 .068 -.107 -.008 .017 .103 -.087
L3.f. Participated last 12 months in cooperative work of other agriculture work .037 .192 -.106 .037 .006 .010 -.028 .130 .020 .103 .540 -.299 .104 .017 .028 -.079 .365 .056
L6 Participation in other exchange work than agriculture -.057 .219 -.039 .155 .067 .083 -.112 .101 .201 -.114 .438 -.079 .310 .133 .165 -.224 .202 .401
L7 Participated in public works without payment during the last year -.073 -.161 .260 -.081 .018 .005 .041 -.104 .073 -.179 -.393 .638 -.198 .045 .012 .102 -.254 .178
L8.a. Participated in school project over the last 12 months -.039 -.004 .378 .046 .050 -.010 .012 -.066 -.008 -.078 -.007 .755 .092 .100 -.020 .025 -.132 -.016
L8.b. Participated in road project over the last 12 months .017 -.116 .279 -.016 -.106 .089 .042 -.027 .258 .034 -.233 .558 -.032 -.211 .179 .084 -.055 .516
L8.c. Participated in bridge project over the last 12 months -.030 .062 .215 -.049 -.060 .035 .085 -.080 .085 -.068 .139 .481 -.110 -.136 .079 .190 -.178 .190
L8.d. Participated in church project over the last 12 months .041 .023 .305 -.063 -.024 .043 -.045 .067 -.039 .092 .051 .688 -.142 -.054 .096 -.102 .151 -.089
L8.g. Participated in health centre project over the last 12 months .000 .026 .140 -.052 -.012 .062 -.096 -.023 .084 .001 .073 .400 -.148 -.035 .175 -.272 -.066 .239
L8.h. Participated in irrigation project over the last 12 months .008 .028 .155 .057 -.034 -.035 -.013 -.004 -.004 .024 .085 .474 .174 -.104 -.106 -.041 -.012 -.012
L8.i. Participated in borehole project over the last 12 months .026 -.010 .277 -.129 -.011 .003 -.082 .167 .009 .059 -.022 .615 -.285 -.025 .006 -.182 .371 .019
L8.k. Participated in graveyard clearing project over the last 12 months -.044 -.155 .135 -.034 -.063 .019 -.016 .000 .364 -.090 -.315 .273 -.069 -.127 .039 -.032 .000 .737
M1 Most people can be trusted (1) or you cannot be too careful (0) .254 .118 -.119 .073 -.008 -.039 .041 .014 .255 .510 .237 -.240 .146 -.017 -.078 .083 .028 .512
M2.d. Trust in Traditional Authorities .099 -.004 -.002 -.004 .395 .007 .088 .045 -.026 .202 -.008 -.004 -.008 .802 .014 .179 .092 -.052
M2.e. Trust in group village headmen .131 -.006 -.038 .031 .417 -.025 .092 .014 -.047 .262 -.012 -.076 .061 .836 -.050 .184 .028 -.094
M2.f. Trust in village headmen .127 -.016 -.082 .056 .362 -.037 .117 .090 -.020 .256 -.033 -.165 .114 .731 -.074 .237 .181 -.040
M2.j. Trust in police .186 .107 -.022 -.002 .195 -.037 .204 -.071 .048 .374 .214 -.044 -.004 .392 -.074 .409 -.143 .096
M2.l. Trust in teachers .082 -.004 .020 -.002 .145 -.001 .355 .063 -.019 .167 -.008 .040 -.005 .294 -.002 .721 .129 -.039
M2.m.Trust in school administrators .108 .069 -.016 -.048 .088 .035 .375 .122 -.040 .217 .139 -.032 -.098 .179 .070 .758 .247 -.081
M2.n. Trust in religious leaders .141 -.023 -.114 .026 .131 .015 .248 .038 .104 .297 -.049 -.238 .054 .276 .030 .522 .079 .219
M3.a. Trust in family members .077 -.003 -.008 .060 .036 -.031 .096 .220 .003 .198 -.008 -.020 .153 .091 -.078 .246 .561 .007
M3.b. Trust in relatives .151 .052 -.010 .120 .074 -.039 .102 .311 -.004 .307 .106 -.020 .244 .151 -.079 .207 .633 -.008
M3.c. Trust in people in own village .298 .028 -.030 .008 .101 -.010 .090 .217 .021 .608 .058 -.062 .017 .206 -.020 .184 .442 .043
M3.d. Trust in people outside the village .275 .054 -.069 -.056 .041 -.010 .030 .111 -.002 .665 .130 -.167 -.136 .100 -.025 .073 .268 -.004
M3.e. Trust in people of same ethnic group .374 .024 .010 -.035 .111 -.006 .015 .031 -.016 .794 .051 .022 -.074 .236 -.012 .031 .066 -.034
M3.f. Trust in people outside ethnic group .317 .012 -.029 -.049 .054 -.027 -.003 .051 .025 .772 .030 -.071 -.119 .130 -.065 -.006 .125 .061
M3.g. Trust in people from same church/ mosque .362 .018 .068 .100 .057 -.027 .135 -.002 -.065 .722 .035 .135 .200 .114 -.053 .269 -.005 -.130
M3.h. Trust in people not from same church/ mosque .363 .014 .066 -.023 .032 .013 .071 -.015 -.014 .806 .032 .146 -.050 .070 .030 .157 -.034 -.032
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.a
a. Rotation converged in 8 iterations.
Factor Analysis
Factor Analysis - Component Transformation Matrix - February 24, 2020
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 10 columns and 12 rows
Component 1 2 3 4 5 6 7 8 9
1 .637 .249 -.221 .181 .478 -.053 .387 .259 -.051
2 -.288 .476 -.315 .660 -.141 .318 -.162 .086 -.014
3 .206 .119 .745 .145 -.048 .503 .120 -.013 .312
4 .381 .559 .049 -.263 -.514 -.308 -.306 .110 .079
5 -.301 .505 .375 -.112 .350 -.184 .078 -.249 -.526
6 -.074 -.193 .375 .495 .105 -.601 -.224 .378 .086
7 -.330 .239 -.070 -.030 -.051 -.331 .563 -.152 .613
8 .138 .080 -.090 .026 .479 -.049 -.546 -.507 .423
9 -.315 .169 -.024 -.427 .347 .203 -.211 .654 .236
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - February 24, 2020
Component Plot of Factors 1, 2, 3 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 Component 1: 0.0916
Component 2: 0.0512
Component 3: 0.6882 Component 1: 0.8057
Component 2: 0.0320
Component 3: 0.1465 Component 1: -0.0785
Component 2: -0.0071
Component 3: 0.7554 Component 1: 0.0585
Component 2: -0.0218
Component 3: 0.6152 Component 1: 0.7216
Component 2: 0.0355
Component 3: 0.1352 Component 1: 0.7940
Component 2: 0.0515
Component 3: 0.0218 Component 1: 0.0340
Component 2: -0.2325
Component 3: 0.5584 Component 1: 0.0238
Component 2: 0.0853
Component 3: 0.4740 Component 1: 0.7716
Component 2: 0.0304
Component 3: -0.0710 Component 1: -0.0681
Component 2: 0.1392
Component 3: 0.4812 Component 1: -0.1790
Component 2: -0.3935
Component 3: 0.6378 Component 1: 0.0009
Component 2: 0.0731
Component 3: 0.4005 Component 1: 0.1320
Component 2: 0.4011
Component 3: 0.2080 Component 1: 0.6082
Component 2: 0.0579
Component 3: -0.0622 Component 1: 0.6647
Component 2: 0.1301
Component 3: -0.1670 Component 1: 0.3740
Component 2: 0.2142
Component 3: -0.0436 Component 1: 0.0269
Component 2: -0.0547
Component 3: 0.2172 Component 1: -0.0024
Component 2: 0.6106
Component 3: 0.0927 Component 1: 0.3072
Component 2: 0.1061
Component 3: -0.0197 Component 1: 0.0634
Component 2: 0.7187
Component 3: 0.0088 Component 1: 0.1195
Component 2: 0.2224
Component 3: 0.0639 Component 1: 0.0932
Component 2: 0.6498
Component 3: -0.0122 Component 1: 0.0073
Component 2: 0.8905
Component 3: -0.0079 Component 1: 0.5101
Component 2: 0.2365
Component 3: -0.2398 Component 1: 0.1673
Component 2: -0.0078
Component 3: 0.0398 Component 1: 0.0573
Component 2: -0.0010
Component 3: 0.1126 Component 1: 0.2174
Component 2: 0.1393
Component 3: -0.0324 Component 1: -0.0900
Component 2: -0.3146
Component 3: 0.2726 Component 1: 0.2018
Component 2: -0.0084
Component 3: -0.0042 Component 1: 0.1977
Component 2: -0.0084
Component 3: -0.0205 Component 1: 0.2619
Component 2: -0.0117
Component 3: -0.0763 Component 1: -0.0280
Component 2: 0.1348
Component 3: 0.0633 Component 1: 0.2559
Component 2: -0.0333
Component 3: -0.1649 Component 1: -0.0887
Component 2: 0.1015
Component 3: 0.0376 Component 1: -0.0083
Component 2: 0.2593
Component 3: -0.0595 Component 1: 0.2970
Component 2: -0.0494
Component 3: -0.2385 Component 1: -0.1143
Component 2: 0.4383
Component 3: -0.0788 Component 1: 0.1029
Component 2: 0.5396
Component 3: -0.2990 Component 1: -0.0722
Component 2: 0.1244
Component 3: -0.1399 Component 1: -0.1198
Component 2: 0.0620
Component 3: -0.1174 Component 1: -0.0829
Component 2: 0.1294
Component 3: -0.1918 Component 1: -0.1131
Component 2: 0.1367
Component 3: -0.2154

Log
Log - Log - February 24, 2020

DATASET ACTIVATE DataSet1.

SAVE OUTFILE='E:\Arkiv\1 MLTSC\04 MLTSC papers and report\Berge2009 Trust games\Data SPSS '+
    'files\MLTSC Trust data K-M78vars+BIN.sav'
  /COMPRESSED.
USE ALL.
COMPUTE filter_$=(REGION = 1).
VARIABLE LABELS filter_$ 'REGION = 1 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.
FACTOR
  /VARIABLES K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8c L8d
    L8g L8h L8i L8k M1trust M2dTradBIN M2eGVHBIN M2fVHBIN M2jPoliceBIN M2lTeachBIN M2mSchABIN
    M2nRelLeBIN M3aFamilBIN M3bRelatBIN M3cOwnVBIN M3dOutsVBIN M3eSaEthBIN M3fOutsEtBIN M3gSaChMBIN
    M3hNSaChMBIN
  /MISSING LISTWISE
  /ANALYSIS K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8c L8d
    L8g L8h L8i L8k M1trust M2dTradBIN M2eGVHBIN M2fVHBIN M2jPoliceBIN M2lTeachBIN M2mSchABIN
    M2nRelLeBIN M3aFamilBIN M3bRelatBIN M3cOwnVBIN M3dOutsVBIN M3eSaEthBIN M3fOutsEtBIN M3gSaChMBIN
    M3hNSaChMBIN
  /PRINT UNIVARIATE INITIAL EXTRACTION ROTATION
  /PLOT EIGEN ROTATION
  /CRITERIA FACTORS(9) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /SAVE REG(ALL)
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Descriptive Statistics - February 24, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 44 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .50 .504 62
K1b Lending money to relatives .44 .500 62
K1c Lending money to people in your own village .42 .497 62
K1d Lending money to people outside the village .15 .355 62
K1e Lending money to people from the same mosque/ church .18 .385 62
K2a Lending tools like axes, hoes etc. to family members .77 .422 62
K2b Lending tools like axes, hoes etc. to relatives outside the household .61 .491 62
K2c Lending tools like axes, hoes etc. to people in your own village .60 .495 62
K2d Lending tools like axes, hoes etc. to people outside the village .31 .465 62
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .29 .458 62
L2 Participated in cooperative agricultural work .48 .504 62
L3.a. Participated last 12 months in cooperative work of preparing a garden .29 .458 62
L3.b. Participated last12 months in cooperative work of planting .03 .178 62
L3.d. Participated last 12 months in cooperative work of weeding .27 .450 62
L3.e. Participated last 12 months in cooperative work of harvesting .10 .298 62
L3.f. Participated last 12 months in cooperative work of other agriculture work .05 .216 62
L6 Participation in other exchange work than agriculture .53 .503 62
L7 Participated in public works without payment during the last year .95 .216 62
L8.a. Participated in school project over the last 12 months .68 .471 62
L8.b. Participated in road project over the last 12 months .42 .497 62
L8.c. Participated in bridge project over the last 12 months .37 .487 62
L8.d. Participated in church project over the last 12 months .15 .355 62
L8.g. Participated in health centre project over the last 12 months .10 .298 62
L8.h. Participated in irrigation project over the last 12 months .16 .371 62
L8.i. Participated in borehole project over the last 12 months .13 .338 62
L8.k. Participated in graveyard clearing project over the last 12 months .15 .355 62
M1 Most people can be trusted (1) or you cannot be too careful (0) .31 .465 62
M2.d. Trust in Traditional Authorities .69 .465 62
M2.e. Trust in group village headmen .68 .471 62
M2.f. Trust in village headmen .58 .497 62
M2.j. Trust in police .61 .491 62
M2.l. Trust in teachers .66 .477 62
M2.m.Trust in school administrators .65 .482 62
M2.n. Trust in religious leaders .66 .477 62
M3.a. Trust in family members .74 .441 62
M3.b. Trust in relatives .50 .504 62
M3.c. Trust in people in own village .31 .465 62
M3.d. Trust in people outside the village .11 .319 62
M3.e. Trust in people of same ethnic group .24 .432 62
M3.f. Trust in people outside ethnic group .10 .298 62
M3.g. Trust in people from same church/ mosque .52 .504 62
M3.h. Trust in people not from same church/ mosque .23 .422 62
Factor Analysis
Factor Analysis - Communalities - February 24, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 46 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .254 .207 1.000 .814
K1b Lending money to relatives .250 .194 1.000 .775
K1c Lending money to people in your own village .247 .181 1.000 .733
K1d Lending money to people outside the village .126 .072 1.000 .568
K1e Lending money to people from the same mosque/ church .148 .087 1.000 .586
K2a Lending tools like axes, hoes etc. to family members .178 .122 1.000 .687
K2b Lending tools like axes, hoes etc. to relatives outside the household .241 .186 1.000 .771
K2c Lending tools like axes, hoes etc. to people in your own village .245 .171 1.000 .700
K2d Lending tools like axes, hoes etc. to people outside the village .216 .167 1.000 .774
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .209 .142 1.000 .676
L2 Participated in cooperative agricultural work .254 .232 1.000 .913
L3.a. Participated last 12 months in cooperative work of preparing a garden .209 .151 1.000 .721
L3.b. Participated last12 months in cooperative work of planting .032 .011 1.000 .334
L3.d. Participated last 12 months in cooperative work of weeding .202 .135 1.000 .665
L3.e. Participated last 12 months in cooperative work of harvesting .089 .029 1.000 .322
L3.f. Participated last 12 months in cooperative work of other agriculture work .047 .014 1.000 .290
L6 Participation in other exchange work than agriculture .253 .182 1.000 .720
L7 Participated in public works without payment during the last year .047 .013 1.000 .270
L8.a. Participated in school project over the last 12 months .222 .119 1.000 .536
L8.b. Participated in road project over the last 12 months .247 .183 1.000 .738
L8.c. Participated in bridge project over the last 12 months .237 .155 1.000 .655
L8.d. Participated in church project over the last 12 months .126 .057 1.000 .450
L8.g. Participated in health centre project over the last 12 months .089 .066 1.000 .737
L8.h. Participated in irrigation project over the last 12 months .137 .103 1.000 .749
L8.i. Participated in borehole project over the last 12 months .114 .029 1.000 .253
L8.k. Participated in graveyard clearing project over the last 12 months .126 .094 1.000 .744
M1 Most people can be trusted (1) or you cannot be too careful (0) .216 .118 1.000 .545
M2.d. Trust in Traditional Authorities .216 .157 1.000 .725
M2.e. Trust in group village headmen .222 .178 1.000 .801
M2.f. Trust in village headmen .247 .190 1.000 .768
M2.j. Trust in police .241 .180 1.000 .747
M2.l. Trust in teachers .228 .155 1.000 .682
M2.m.Trust in school administrators .233 .180 1.000 .773
M2.n. Trust in religious leaders .228 .170 1.000 .746
M3.a. Trust in family members .195 .120 1.000 .615
M3.b. Trust in relatives .254 .176 1.000 .691
M3.c. Trust in people in own village .216 .160 1.000 .741
M3.d. Trust in people outside the village .102 .048 1.000 .468
M3.e. Trust in people of same ethnic group .186 .149 1.000 .797
M3.f. Trust in people outside ethnic group .089 .049 1.000 .551
M3.g. Trust in people from same church/ mosque .254 .197 1.000 .778
M3.h. Trust in people not from same church/ mosque .178 .121 1.000 .681
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - February 24, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 89 rows
  Component Initial Eigenvaluesa Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings
  Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %
Raw 1 1.385 17.640 17.640 1.385 17.640 17.640 .807 10.280 10.280
2 1.095 13.947 31.587 1.095 13.947 31.587 .771 9.824 20.105
3 .687 8.752 40.339 .687 8.752 40.339 .565 7.200 27.305
4 .560 7.130 47.469 .560 7.130 47.469 .688 8.769 36.074
5 .442 5.635 53.105 .442 5.635 53.105 .567 7.221 43.295
6 .408 5.193 58.298 .408 5.193 58.298 .555 7.074 50.369
7 .320 4.081 62.379 .320 4.081 62.379 .515 6.560 56.929
8 .283 3.603 65.982 .283 3.603 65.982 .537 6.834 63.763
9 .265 3.371 69.353 .265 3.371 69.353 .439 5.590 69.353
10 .233 2.970 72.323            
11 .211 2.692 75.016            
12 .190 2.423 77.438            
13 .168 2.134 79.572            
14 .162 2.068 81.640            
15 .157 2.001 83.641            
16 .154 1.959 85.599            
17 .126 1.602 87.202            
18 .113 1.434 88.635            
19 .099 1.263 89.898            
20 .090 1.148 91.046            
21 .085 1.089 92.135            
22 .069 .875 93.010            
23 .067 .851 93.861            
24 .060 .762 94.623            
25 .055 .699 95.323            
26 .052 .657 95.980            
27 .050 .641 96.620            
28 .043 .552 97.173            
29 .034 .436 97.609            
30 .032 .414 98.022            
31 .025 .323 98.345            
32 .025 .313 98.659            
33 .019 .244 98.903            
34 .018 .227 99.130            
35 .016 .200 99.330            
36 .014 .185 99.515            
37 .012 .153 99.668            
38 .010 .130 99.797            
39 .007 .095 99.893            
40 .004 .055 99.948            
41 .003 .040 99.988            
42 .001 .012 100.000            
Rescaled 1 1.385 17.640 17.640 6.842 16.291 16.291 3.718 8.851 8.851
2 1.095 13.947 31.587 5.223 12.435 28.726 3.443 8.198 17.050
3 .687 8.752 40.339 3.186 7.587 36.313 3.369 8.020 25.070
4 .560 7.130 47.469 2.927 6.969 43.281 3.316 7.895 32.965
5 .442 5.635 53.105 2.573 6.127 49.408 3.204 7.628 40.593
6 .408 5.193 58.298 2.018 4.805 54.213 3.123 7.437 48.029
7 .320 4.081 62.379 1.613 3.841 58.054 2.544 6.058 54.087
8 .283 3.603 65.982 1.479 3.522 61.576 2.527 6.016 60.103
9 .265 3.371 69.353 1.430 3.406 64.982 2.049 4.879 64.982
10 .233 2.970 72.323            
11 .211 2.692 75.016            
12 .190 2.423 77.438            
13 .168 2.134 79.572            
14 .162 2.068 81.640            
15 .157 2.001 83.641            
16 .154 1.959 85.599            
17 .126 1.602 87.202            
18 .113 1.434 88.635            
19 .099 1.263 89.898            
20 .090 1.148 91.046            
21 .085 1.089 92.135            
22 .069 .875 93.010            
23 .067 .851 93.861            
24 .060 .762 94.623            
25 .055 .699 95.323            
26 .052 .657 95.980            
27 .050 .641 96.620            
28 .043 .552 97.173            
29 .034 .436 97.609            
30 .032 .414 98.022            
31 .025 .323 98.345            
32 .025 .313 98.659            
33 .019 .244 98.903            
34 .018 .227 99.130            
35 .016 .200 99.330            
36 .014 .185 99.515            
37 .012 .153 99.668            
38 .010 .130 99.797            
39 .007 .095 99.893            
40 .004 .055 99.948            
41 .003 .040 99.988            
42 .001 .012 100.000            
Extraction Method: Principal Component Analysis.
a. When analyzing a covariance matrix, the initial eigenvalues are the same across the raw and rescaled solution.
Factor Analysis
Factor Analysis - Scree Plot - February 24, 2020
Scree Plot Component Number: 42
Eigenvalue: 9.33E-4 Component Number: 41
Eigenvalue: 3.16E-3 Component Number: 40
Eigenvalue: 4.33E-3 Component Number: 39
Eigenvalue: 7.49E-3 Component Number: 38
Eigenvalue: 1.02E-2 Component Number: 37
Eigenvalue: 1.2E-2 Component Number: 36
Eigenvalue: 1.45E-2 Component Number: 35
Eigenvalue: 1.57E-2 Component Number: 34
Eigenvalue: 1.78E-2 Component Number: 33
Eigenvalue: 1.92E-2 Component Number: 32
Eigenvalue: 2.46E-2 Component Number: 31
Eigenvalue: 2.54E-2 Component Number: 30
Eigenvalue: 3.25E-2 Component Number: 29
Eigenvalue: 3.42E-2 Component Number: 28
Eigenvalue: 4.33E-2 Component Number: 27
Eigenvalue: 5.03E-2 Component Number: 26
Eigenvalue: 5.16E-2 Component Number: 25
Eigenvalue: 5.49E-2 Component Number: 24
Eigenvalue: 5.99E-2 Component Number: 23
Eigenvalue: 6.68E-2 Component Number: 22
Eigenvalue: 6.87E-2 Component Number: 21
Eigenvalue: 8.55E-2 Component Number: 20
Eigenvalue: 9.01E-2 Component Number: 19
Eigenvalue: 9.91E-2 Component Number: 18
Eigenvalue: 1.13E-1 Component Number: 17
Eigenvalue: 1.26E-1 Component Number: 16
Eigenvalue: 1.54E-1 Component Number: 15
Eigenvalue: 1.57E-1 Component Number: 14
Eigenvalue: 1.62E-1 Component Number: 13
Eigenvalue: 1.68E-1 Component Number: 12
Eigenvalue: 1.9E-1 Component Number: 11
Eigenvalue: 2.11E-1 Component Number: 10
Eigenvalue: 2.33E-1 Component Number: 9
Eigenvalue: 2.65E-1 Component Number: 8
Eigenvalue: 2.83E-1 Component Number: 7
Eigenvalue: 3.2E-1 Component Number: 6
Eigenvalue: 4.08E-1 Component Number: 5
Eigenvalue: 4.42E-1 Component Number: 4
Eigenvalue: 5.6E-1 Component Number: 3
Eigenvalue: 6.87E-1 Component Number: 2
Eigenvalue: 1.09E0 Component Number: 1
Eigenvalue: 1.38E0 Component Number: 41
Eigenvalue: 3.16E-3 Component Number: 40
Eigenvalue: 4.33E-3 Component Number: 39
Eigenvalue: 7.49E-3 Component Number: 38
Eigenvalue: 1.02E-2 Component Number: 37
Eigenvalue: 1.2E-2 Component Number: 36
Eigenvalue: 1.45E-2 Component Number: 35
Eigenvalue: 1.57E-2 Component Number: 34
Eigenvalue: 1.78E-2 Component Number: 33
Eigenvalue: 1.92E-2 Component Number: 32
Eigenvalue: 2.46E-2 Component Number: 31
Eigenvalue: 2.54E-2 Component Number: 30
Eigenvalue: 3.25E-2 Component Number: 29
Eigenvalue: 3.42E-2 Component Number: 28
Eigenvalue: 4.33E-2 Component Number: 27
Eigenvalue: 5.03E-2 Component Number: 26
Eigenvalue: 5.16E-2 Component Number: 25
Eigenvalue: 5.49E-2 Component Number: 24
Eigenvalue: 5.99E-2 Component Number: 23
Eigenvalue: 6.68E-2 Component Number: 22
Eigenvalue: 6.87E-2 Component Number: 21
Eigenvalue: 8.55E-2 Component Number: 20
Eigenvalue: 9.01E-2 Component Number: 19
Eigenvalue: 9.91E-2 Component Number: 18
Eigenvalue: 1.13E-1 Component Number: 17
Eigenvalue: 1.26E-1 Component Number: 16
Eigenvalue: 1.54E-1 Component Number: 15
Eigenvalue: 1.57E-1 Component Number: 14
Eigenvalue: 1.62E-1 Component Number: 13
Eigenvalue: 1.68E-1 Component Number: 12
Eigenvalue: 1.9E-1 Component Number: 11
Eigenvalue: 2.11E-1 Component Number: 10
Eigenvalue: 2.33E-1 Component Number: 9
Eigenvalue: 2.65E-1 Component Number: 8
Eigenvalue: 2.83E-1 Component Number: 7
Eigenvalue: 3.2E-1 Component Number: 6
Eigenvalue: 4.08E-1 Component Number: 5
Eigenvalue: 4.42E-1 Component Number: 4
Eigenvalue: 5.6E-1 Component Number: 3
Eigenvalue: 6.87E-1 Component Number: 2
Eigenvalue: 1.09E0 Component Number: 1
Eigenvalue: 1.38E0 0.00 0.25 0.50 0.75 1.00 1.25 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41

{"copyright":"(C) Copyright IBM Corp. 2011","grammar":[{"elements":[{"data":{"$ref":"dSource"},"style":{"outline":{"r":0,"b":0,"g":0},"fill":{"r":0,"b":157,"g":100},"stroke":{"width":3.3333333}},"position":[{"field":{"$ref":"fVariable1"}},{"field":{"$ref":"fVariable"}}],"type":"line"},{"data":{"$ref":"dSource"},"style":{"symbol":"circle","outline":{"r":0,"b":157,"g":100},"size":6.6666665,"fill":{"r":119,"b":119,"g":118}},"position":[{"field":{"$ref":"fVariable1"}},{"field":{"$ref":"fVariable"}}],"type":"point"}],"coordinates":{"style":{"outline":{"r":0,"b":157,"g":100},"fill":{"r":255,"b":255,"g":255}},"dimensions":[{"scale":{"padding":{"left":"5%","right":"5%"}},"axis":[{"tickStyle":{"padding":5.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"8pt","weight":"normal","family":"sans-serif"}},"gridStyle":{"fill":{"r":0,"b":157,"g":100}},"lineStyle":{"fill":{"r":0,"b":157,"g":100},"stroke":{"width":0.6666667}},"titleStyle":{"padding":6.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"title":["Eigenvalue"],"markStyle":{"fill":{"a":0,"r":0,"b":157,"g":100},"stroke":{"width":1.3333334}}}]},{"scale":{"padding":{"left":"5%","right":"5%"}},"axis":[{"tickStyle":{"padding":5.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"normal","family":"sans-serif"}},"lineStyle":{"fill":{"r":0,"b":157,"g":100},"stroke":{"width":0.6666667}},"titleStyle":{"padding":6.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"title":["Component Number"],"markStyle":{"fill":{"a":0,"r":0,"b":157,"g":100},"stroke":{"width":1.3333334}}}]}]}}],"data":[{"id":"dSource","fields":[{"id":"fVariable","label":"Component Number","categories":[]},{"min":9.328821538259126E-4,"max":1.384976222128292,"id":"fVariable1","label":"Eigenvalue"}],"rows":[[0,1.384976222128292],[1,1.094990692289191],[2,0.6871298090789156],[3,0.5597983058546251],[4,0.4424190160449303],[5,0.407748094355652],[6,0.3203939030046961],[7,0.2828848445719793],[8,0.2646532795785337],[9,0.2332174765981772],[10,0.2113608243091557],[11,0.1902017187418314],[12,0.1675425776710737],[13,0.1623506497183993],[14,0.1570946491982022],[15,0.1537687498078349],[16,0.1257850430210652],[17,0.1125501785786817],[18,0.09914722951315362],[19,0.09012408367895904],[20,0.08548124900875054],[21,0.06871351975349894],[22,0.06682620376271421],[23,0.05985979722757449],[24,0.05491229014116307],[25,0.05157401455730492],[26,0.05029857894959096],[27,0.04334853581070539],[28,0.03422858765620875],[29,0.0324732746922131],[30,0.02537878803030632],[31,0.02460803694415215],[32,0.01916016353207142],[33,0.01780282967676619],[34,0.01573165541719345],[35,0.0144886447713957],[36,0.01202559058920538],[37,0.01017732886365247],[38,0.007487519827862352],[39,0.004325250596316705],[40,0.003164874863188895],[41,9.328821538259126E-4]]}],"size":{"width":850.0,"height":500.0},"style":{"outline":{"a":0.0,"r":0,"b":0,"g":0},"fill":{"r":255,"b":255,"g":255}},"titles":[{"backgroundStyle":{"outline":{"a":0.0,"r":0,"b":0,"g":0},"fill":{"a":0.0,"r":0,"b":0,"g":0}},"style":{"padding":3.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"type":"title","content":["Scree Plot"]}],"version":"6.0"}

Factor Analysis
Factor Analysis - Component Matrix - February 24, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 19 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9
K1a Lending money to family members .250 .203 .251 -.124 -.038 -.023 -.120 .039 -.082 .495 .404 .498 -.246 -.075 -.046 -.238 .078 -.163
K1b Lending money to relatives .222 .175 .202 -.201 -.013 -.047 -.164 -.057 .004 .444 .351 .405 -.401 -.026 -.095 -.328 -.113 .007
K1c Lending money to people in your own village .234 .175 .211 -.138 -.020 .075 -.145 -.063 .039 .470 .352 .424 -.278 -.040 .151 -.291 -.126 .078
K1d Lending money to people outside the village .147 .152 .001 -.036 .099 .073 .087 -.054 .008 .413 .429 .004 -.101 .279 .205 .245 -.153 .022
K1e Lending money to people from the same mosque/ church .153 .118 .152 .016 .073 .077 .095 -.071 -.023 .398 .308 .395 .042 .190 .201 .248 -.184 -.059
K2a Lending tools like axes, hoes etc. to family members .223 .170 -.100 .041 -.012 -.146 -.009 -.012 -.102 .528 .404 -.237 .096 -.028 -.345 -.022 -.029 -.241
K2b Lending tools like axes, hoes etc. to relatives outside the household .232 .202 -.199 -.092 -.024 -.173 .046 -.073 -.074 .472 .412 -.405 -.187 -.049 -.351 .094 -.149 -.151
K2c Lending tools like axes, hoes etc. to people in your own village .145 .270 -.165 -.021 .002 -.114 .057 -.100 .153 .293 .546 -.333 -.042 .005 -.231 .114 -.203 .309
K2d Lending tools like axes, hoes etc. to people outside the village .106 .244 -.126 -.112 .176 -.097 .123 .012 .111 .228 .525 -.270 -.240 .379 -.209 .265 .025 .239
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .116 .234 .009 -.059 .187 -.133 .073 -.079 .074 .254 .511 .019 -.129 .409 -.291 .159 -.172 .162
L2 Participated in cooperative agricultural work .198 .124 -.256 .084 .152 .260 -.096 -.052 -.048 .392 .247 -.508 .166 .302 .515 -.191 -.103 -.095
L3.a. Participated last 12 months in cooperative work of preparing a garden .086 .037 -.171 .158 .102 .194 -.153 -.115 -.057 .188 .081 -.374 .344 .222 .425 -.335 -.252 -.124
L3.b. Participated last12 months in cooperative work of planting .026 .025 -.008 .060 .024 -.001 .016 .027 .064 .147 .138 -.045 .337 .133 -.005 .090 .149 .360
L3.d. Participated last 12 months in cooperative work of weeding .137 .192 -.181 .002 -.027 .156 .015 .005 -.144 .305 .428 -.401 .004 -.060 .346 .034 .011 -.321
L3.e. Participated last 12 months in cooperative work of harvesting .059 .037 -.105 .035 -.072 .055 -.004 -.037 .045 .198 .123 -.352 .116 -.240 .184 -.012 -.125 .151
L3.f. Participated last 12 months in cooperative work of other agriculture work .079 -.007 .005 -.011 .035 .039 .065 .008 -.011 .364 -.032 .024 -.050 .159 .182 .302 .038 -.050
L6 Participation in other exchange work than agriculture .342 .142 .047 .054 -.045 .069 .041 .178 -.004 .680 .282 .093 .107 -.089 .137 .082 .354 -.008
L7 Participated in public works without payment during the last year .007 .095 .008 .012 -.007 .001 -.023 .046 -.025 .033 .440 .035 .057 -.033 .003 -.108 .212 -.113
L8.a. Participated in school project over the last 12 months .203 .159 .018 .000 -.129 .090 -.120 .073 .089 .430 .337 .038 -.001 -.274 .190 -.255 .154 .190
L8.b. Participated in road project over the last 12 months .287 .110 .134 .189 .040 -.039 .104 .108 -.094 .578 .221 .270 .380 .081 -.078 .208 .217 -.189
L8.c. Participated in bridge project over the last 12 months .160 .048 -.141 .207 -.233 .021 -.054 -.068 .046 .329 .098 -.290 .425 -.479 .044 -.111 -.141 .093
L8.d. Participated in church project over the last 12 months .042 .076 .022 .193 -.064 -.022 .030 -.072 .028 .119 .214 .062 .543 -.181 -.062 .085 -.202 .080
L8.g. Participated in health centre project over the last 12 months .126 -.043 .062 -.022 .147 .069 .024 .118 .050 .424 -.143 .208 -.074 .494 .231 .082 .395 .169
L8.h. Participated in irrigation project over the last 12 months .146 .067 .156 .166 -.144 -.032 -.010 -.054 -.010 .395 .181 .422 .447 -.390 -.087 -.028 -.146 -.027
L8.i. Participated in borehole project over the last 12 months -.058 -.055 .070 -.088 .063 .020 .065 -.015 -.035 -.171 -.163 .206 -.259 .185 .060 .192 -.046 -.103
L8.k. Participated in graveyard clearing project over the last 12 months .191 -.079 .020 -.006 .142 .104 .066 .124 -.002 .537 -.223 .055 -.017 .400 .292 .185 .350 -.006
M1 Most people can be trusted (1) or you cannot be too careful (0) .165 -.087 .156 .164 .062 .054 .028 .087 .130 .355 -.186 .335 .352 .133 .116 .061 .186 .279
M2.d. Trust in Traditional Authorities -.291 .160 -.102 .009 -.002 .033 -.114 .086 .121 -.625 .345 -.219 .019 -.005 .070 -.244 .185 .260
M2.e. Trust in group village headmen -.234 .233 -.056 -.078 .088 .031 -.151 .048 .162 -.496 .494 -.120 -.165 .187 .065 -.320 .101 .343
M2.f. Trust in village headmen -.308 .235 .063 -.123 .023 .100 -.046 .091 -.004 -.619 .473 .127 -.247 .047 .201 -.092 .183 -.008
M2.j. Trust in police -.020 .170 -.240 .004 -.150 -.063 .023 .253 -.042 -.041 .347 -.489 .009 -.306 -.129 .046 .516 -.086
M2.l. Trust in teachers -.200 .260 .048 -.077 -.100 -.003 .069 .077 -.136 -.420 .545 .101 -.161 -.210 -.007 .145 .162 -.286
M2.m.Trust in school administrators -.270 .267 -.082 -.081 -.111 -.022 .016 -.046 -.085 -.559 .554 -.171 -.169 -.230 -.045 .032 -.096 -.176
M2.n. Trust in religious leaders -.190 .265 .010 .107 -.012 .155 .147 .016 .077 -.397 .556 .021 .224 -.024 .324 .307 .033 .162
M3.a. Trust in family members -.157 .211 .164 -.007 -.029 .122 .067 .030 -.052 -.356 .478 .371 -.016 -.065 .276 .152 .067 -.118
M3.b. Trust in relatives -.152 .189 .168 .045 -.138 .120 .167 -.116 .109 -.302 .376 .333 .088 -.274 .238 .331 -.229 .216
M3.c. Trust in people in own village -.252 .153 .090 .094 .150 .024 .048 -.108 -.138 -.542 .330 .193 .203 .323 .051 .104 -.233 -.297
M3.d. Trust in people outside the village -.148 .034 .007 .044 .108 .018 -.008 .006 -.102 -.464 .106 .021 .137 .340 .056 -.025 .020 -.320
M3.e. Trust in people of same ethnic group -.102 .133 .046 .156 .204 -.165 -.140 .062 -.043 -.237 .307 .107 .362 .473 -.381 -.323 .144 -.101
M3.f. Trust in people outside ethnic group -.136 .003 -.004 .091 .116 -.031 -.074 .001 -.049 -.455 .011 -.014 .307 .389 -.105 -.247 .002 -.163
M3.g. Trust in people from same church/ mosque -.170 .171 .190 .280 -.021 -.103 -.112 -.033 -.002 -.338 .339 .378 .556 -.042 -.204 -.222 -.066 -.004
M3.h. Trust in people not from same church/ mosque -.051 .137 -.002 .264 .069 -.136 .002 .065 .049 -.121 .324 -.005 .627 .163 -.322 .004 .155 .116
Extraction Method: Principal Component Analysis.
a. 9 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - February 24, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 19 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9
K1a Lending money to family members .025 .431 .054 .055 .002 .002 -.091 -.033 .070 .049 .856 .107 .109 .003 .003 -.180 -.065 .139
K1b Lending money to relatives -.031 .420 -.011 .109 -.037 -.031 -.006 -.030 -.027 -.061 .841 -.022 .218 -.074 -.062 -.012 -.060 -.054
K1c Lending money to people in your own village .033 .403 .056 .063 -.072 .013 .002 .043 -.062 .066 .810 .113 .126 -.145 .026 .005 .087 -.125
K1d Lending money to people outside the village .081 .084 .091 .180 -.032 -.016 -.064 .108 -.022 .229 .237 .256 .506 -.089 -.045 -.180 .303 -.063
K1e Lending money to people from the same mosque/ church .120 .142 .120 .097 .001 .023 -.140 .043 -.080 .313 .368 .312 .251 .003 .060 -.364 .112 -.209
K2a Lending tools like axes, hoes etc. to family members -.096 .107 -.037 .202 .031 .109 -.129 .076 .156 -.228 .253 -.088 .478 .074 .257 -.306 .180 .370
K2b Lending tools like axes, hoes etc. to relatives outside the household -.105 .083 -.116 .323 -.070 .038 -.112 .084 .157 -.215 .170 -.235 .657 -.142 .077 -.228 .172 .319
K2c Lending tools like axes, hoes etc. to people in your own village .006 .043 -.048 .362 -.075 .142 .064 .061 .048 .013 .087 -.096 .732 -.151 .288 .130 .123 .096
K2d Lending tools like axes, hoes etc. to people outside the village .032 .014 .071 .387 -.002 -.052 .058 .021 .067 .070 .031 .153 .833 -.005 -.111 .125 .046 .143
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .031 .101 .045 .347 .080 -.003 -.005 -.013 -.036 .068 .220 .099 .759 .174 -.006 -.011 -.028 -.079
L2 Participated in cooperative agricultural work -.036 .013 .104 .101 -.005 .018 .019 .455 .036 -.072 .025 .206 .201 -.011 .037 .037 .904 .072
L3.a. Participated last 12 months in cooperative work of preparing a garden -.054 -.011 .016 -.016 .069 .078 .019 .366 -.050 -.117 -.025 .036 -.035 .152 .170 .042 .799 -.110
L3.b. Participated last12 months in cooperative work of planting .005 -.019 .066 .035 .009 .061 .028 .002 .003 .025 -.108 .372 .195 .052 .344 .155 .012 .019
L3.d. Participated last 12 months in cooperative work of weeding .072 .047 -.018 .091 -.061 .004 -.075 .282 .172 .161 .104 -.040 .202 -.136 .010 -.167 .627 .383
L3.e. Participated last 12 months in cooperative work of harvesting -.006 -.020 -.020 .031 -.092 .086 .023 .099 .023 -.021 -.066 -.067 .102 -.310 .290 .076 .332 .076
L3.f. Participated last 12 months in cooperative work of other agriculture work .006 .004 .074 .034 -.038 -.023 -.064 .027 -.004 .029 .016 .344 .155 -.178 -.108 -.295 .126 -.020
L6 Participation in other exchange work than agriculture .002 .193 .246 .076 -.101 .120 -.113 .072 .190 .004 .383 .489 .150 -.201 .239 -.224 .143 .378
L7 Participated in public works without payment during the last year .043 .053 .003 .021 .036 .020 .015 .017 .073 .200 .244 .012 .096 .169 .092 .067 .081 .337
L8.a. Participated in school project over the last 12 months .007 .225 .076 .019 -.126 .143 .076 .090 .108 .014 .478 .161 .040 -.268 .303 .161 .192 .230
L8.b. Participated in road project over the last 12 months .014 .129 .232 .079 .075 .164 -.246 .004 .114 .028 .259 .466 .158 .151 .329 -.495 .007 .229
L8.c. Participated in bridge project over the last 12 months -.065 -.002 -.060 -.015 -.128 .324 -.031 .141 .074 -.133 -.005 -.123 -.030 -.262 .664 -.064 .289 .152
L8.d. Participated in church project over the last 12 months .051 -.009 -.003 .026 .034 .219 -.057 .022 -.022 .145 -.026 -.007 .072 .096 .618 -.159 .061 -.062
L8.g. Participated in health centre project over the last 12 months -.037 .045 .237 .019 -.001 -.074 -.005 .011 -.010 -.124 .150 .794 .065 -.004 -.250 -.016 .036 -.033
L8.h. Participated in irrigation project over the last 12 months .032 .146 .018 -.036 -.005 .246 -.131 -.034 -.013 .087 .393 .049 -.098 -.015 .663 -.354 -.092 -.034
L8.i. Participated in borehole project over the last 12 months .044 -.016 .010 -.017 .006 -.132 -.039 -.054 -.066 .130 -.047 .031 -.049 .018 -.392 -.114 -.159 -.196
L8.k. Participated in graveyard clearing project over the last 12 months -.063 .016 .265 .011 -.038 -.081 -.081 .065 .016 -.176 .045 .747 .031 -.108 -.228 -.229 .182 .046
M1 Most people can be trusted (1) or you cannot be too careful (0) -.035 .039 .290 -.056 .000 .136 -.038 -.042 -.078 -.076 .084 .623 -.119 .001 .293 -.083 -.091 -.168
M2.d. Trust in Traditional Authorities .140 -.079 -.097 -.010 .099 .005 .322 .014 .085 .302 -.171 -.210 -.021 .212 .011 .693 .031 .182
M2.e. Trust in group village headmen .139 .032 -.067 .089 .113 -.050 .358 .028 .029 .295 .067 -.143 .188 .239 -.106 .760 .060 .062
M2.f. Trust in village headmen .296 .049 -.094 -.023 .111 -.148 .222 -.023 .081 .595 .098 -.189 -.047 .223 -.298 .447 -.046 .162
M2.j. Trust in police .020 -.078 -.052 .064 -.048 .051 .085 .022 .393 .041 -.158 -.106 .131 -.098 .103 .173 .045 .800
M2.l. Trust in teachers .283 .048 -.157 .020 .067 -.065 .014 -.061 .188 .593 .101 -.328 .042 .141 -.136 .029 -.129 .394
M2.m.Trust in school administrators .245 -.022 -.289 .070 .055 -.038 .101 .007 .128 .507 -.046 -.599 .145 .114 -.079 .210 .014 .265
M2.n. Trust in religious leaders .368 -.083 .017 .063 .039 .085 .102 .051 .035 .772 -.174 .036 .132 .083 .178 .213 .107 .073
M3.a. Trust in family members .324 .081 -.017 -.034 .067 -.027 .017 -.022 .031 .734 .182 -.039 -.078 .153 -.062 .039 -.051 .070
M3.b. Trust in relatives .369 .014 -.052 .011 -.071 .121 .023 -.072 -.106 .731 .028 -.104 .022 -.141 .241 .045 -.142 -.210
M3.c. Trust in people in own village .244 -.055 -.098 .018 .276 -.051 -.031 .032 -.082 .525 -.119 -.210 .038 .595 -.109 -.067 .069 -.176
M3.d. Trust in people outside the village .079 -.061 -.032 -.031 .170 -.074 .004 .034 .001 .248 -.190 -.099 -.097 .534 -.233 .012 .107 .004
M3.e. Trust in people of same ethnic group -.021 .027 .014 .064 .363 .050 .079 -.028 .042 -.048 .062 .032 .148 .841 .115 .184 -.065 .097
M3.f. Trust in people outside ethnic group .003 -.062 -.026 -.036 .199 -.014 .050 .021 -.022 .010 -.207 -.089 -.120 .667 -.047 .168 .071 -.073
M3.g. Trust in people from same church/ mosque .149 .063 -.068 -.067 .297 .251 .050 -.087 -.029 .295 .126 -.136 -.133 .589 .499 .100 -.172 -.057
M3.h. Trust in people not from same church/ mosque .038 -.072 .056 .082 .224 .215 .040 -.041 .070 .090 -.171 .134 .194 .532 .509 .094 -.098 .167
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.a
a. Rotation converged in 14 iterations.
Factor Analysis
Factor Analysis - Component Transformation Matrix - February 24, 2020
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 10 columns and 12 rows
Component 1 2 3 4 5 6 7 8 9
1 -.424 .437 .412 .281 -.334 .214 -.407 .230 .073
2 .554 .384 -.137 .531 .192 .198 .170 .181 .327
3 .324 .545 .244 -.295 .191 .018 -.202 -.504 -.346
4 .043 -.313 .219 -.201 .428 .758 -.156 .173 -.012
5 -.117 -.108 .443 .364 .577 -.430 .062 .192 -.297
6 .447 .027 .304 -.393 -.306 -.159 .101 .634 -.149
7 .439 -.496 .215 .336 -.295 -.076 -.488 -.267 .004
8 -.020 -.036 .520 -.228 .062 -.148 .216 -.243 .738
9 -.020 -.085 .315 .246 -.339 .320 .664 -.249 -.335
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - February 24, 2020
Component Plot of Factors 1, 2, 3 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 Component 1: -0.1243
Component 2: 0.1505
Component 3: 0.7938 Component 1: -0.1761
Component 2: 0.0451
Component 3: 0.7473 Component 1: 0.3125
Component 2: 0.3676
Component 3: 0.3118 Component 1: -0.0762
Component 2: 0.0838
Component 3: 0.6230 Component 1: 0.0038
Component 2: 0.3833
Component 3: 0.4889 Component 1: 0.0279
Component 2: 0.2595
Component 3: 0.4662 Component 1: 0.7720
Component 2: -0.1741
Component 3: 0.0363 Component 1: 0.7337
Component 2: 0.1825
Component 3: -0.0394 Component 1: 0.2286
Component 2: 0.2368
Component 3: 0.2562 Component 1: 0.7314
Component 2: 0.0283
Component 3: -0.1039 Component 1: 0.0286
Component 2: 0.0165
Component 3: 0.3439 Component 1: 0.0254
Component 2: -0.1079
Component 3: 0.3723 Component 1: 0.0661
Component 2: 0.8095
Component 3: 0.1127 Component 1: 0.0494
Component 2: 0.8558
Component 3: 0.1068 Component 1: 0.0141
Component 2: 0.4779
Component 3: 0.1615 Component 1: 0.5950
Component 2: 0.0982
Component 3: -0.1886 Component 1: 0.0698
Component 2: 0.0306
Component 3: 0.1529 Component 1: 0.1996
Component 2: 0.2442
Component 3: 0.0118 Component 1: 0.0682
Component 2: 0.2201
Component 3: 0.0993 Component 1: 0.0866
Component 2: 0.3929
Component 3: 0.0493 Component 1: -0.0717
Component 2: 0.0254
Component 3: 0.2060 Component 1: 0.0895
Component 2: -0.1712
Component 3: 0.1338 Component 1: 0.5246
Component 2: -0.1193
Component 3: -0.2105 Component 1: -0.0614
Component 2: 0.8412
Component 3: -0.0218 Component 1: 0.1301
Component 2: -0.0468
Component 3: 0.0309 Component 1: 0.5930
Component 2: 0.1006
Component 3: -0.3283 Component 1: 0.2948
Component 2: 0.1260
Component 3: -0.1358 Component 1: 0.1608
Component 2: 0.1042
Component 3: -0.0398 Component 1: 0.1447
Component 2: -0.0256
Component 3: -0.0072 Component 1: 0.2951
Component 2: 0.0674
Component 3: -0.1430 Component 1: 0.2482
Component 2: -0.1901
Component 3: -0.0994 Component 1: -0.0475
Component 2: 0.0615
Component 3: 0.0319 Component 1: 0.3019
Component 2: -0.1708
Component 3: -0.2097 Component 1: -0.1170
Component 2: -0.0249
Component 3: 0.0357 Component 1: 0.0129
Component 2: 0.0875
Component 3: -0.0963 Component 1: -0.0206
Component 2: -0.0659
Component 3: -0.0667 Component 1: 0.0413
Component 2: -0.1583
Component 3: -0.1061 Component 1: 0.0103
Component 2: -0.2073
Component 3: -0.0886 Component 1: -0.2282
Component 2: 0.2530
Component 3: -0.0881 Component 1: -0.1332
Component 2: -0.0046
Component 3: -0.1227 Component 1: 0.5074
Component 2: -0.0459
Component 3: -0.5991 Component 1: -0.2148
Component 2: 0.1699
Component 3: -0.2354

Log
Log - Log - February 24, 2020

FILTER OFF.
USE ALL.
EXECUTE.
USE ALL.
COMPUTE filter_$=(REGION = 2).
VARIABLE LABELS filter_$ 'REGION = 2 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.
FACTOR
  /VARIABLES K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8c L8d
    L8g L8h L8i L8k M1trust M2dTradBIN M2eGVHBIN M2fVHBIN M2jPoliceBIN M2lTeachBIN M2mSchABIN
    M2nRelLeBIN M3aFamilBIN M3bRelatBIN M3cOwnVBIN M3dOutsVBIN M3eSaEthBIN M3fOutsEtBIN M3gSaChMBIN
    M3hNSaChMBIN
  /MISSING LISTWISE
  /ANALYSIS K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8c L8d
    L8g L8h L8i L8k M1trust M2dTradBIN M2eGVHBIN M2fVHBIN M2jPoliceBIN M2lTeachBIN M2mSchABIN
    M2nRelLeBIN M3aFamilBIN M3bRelatBIN M3cOwnVBIN M3dOutsVBIN M3eSaEthBIN M3fOutsEtBIN M3gSaChMBIN
    M3hNSaChMBIN
  /PRINT UNIVARIATE INITIAL EXTRACTION ROTATION
  /PLOT EIGEN ROTATION
  /CRITERIA FACTORS(8) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /SAVE REG(ALL)
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Descriptive Statistics - February 24, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 44 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .59 .494 79
K1b Lending money to relatives .71 .457 79
K1c Lending money to people in your own village .57 .498 79
K1d Lending money to people outside the village .23 .422 79
K1e Lending money to people from the same mosque/ church .19 .395 79
K2a Lending tools like axes, hoes etc. to family members .77 .422 79
K2b Lending tools like axes, hoes etc. to relatives outside the household .85 .361 79
K2c Lending tools like axes, hoes etc. to people in your own village .73 .445 79
K2d Lending tools like axes, hoes etc. to people outside the village .20 .404 79
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .28 .451 79
L2 Participated in cooperative agricultural work .54 .501 79
L3.a. Participated last 12 months in cooperative work of preparing a garden .29 .457 79
L3.b. Participated last12 months in cooperative work of planting .10 .304 79
L3.d. Participated last 12 months in cooperative work of weeding .22 .414 79
L3.e. Participated last 12 months in cooperative work of harvesting .33 .473 79
L3.f. Participated last 12 months in cooperative work of other agriculture work .34 .477 79
L6 Participation in other exchange work than agriculture .65 .481 79
L7 Participated in public works without payment during the last year .53 .502 79
L8.a. Participated in school project over the last 12 months .49 .503 79
L8.b. Participated in road project over the last 12 months .43 .498 79
L8.c. Participated in bridge project over the last 12 months .20 .404 79
L8.d. Participated in church project over the last 12 months .25 .438 79
L8.g. Participated in health centre project over the last 12 months .14 .348 79
L8.h. Participated in irrigation project over the last 12 months .10 .304 79
L8.i. Participated in borehole project over the last 12 months .30 .463 79
L8.k. Participated in graveyard clearing project over the last 12 months .37 .485 79
M1 Most people can be trusted (1) or you cannot be too careful (0) .52 .503 79
M2.d. Trust in Traditional Authorities .61 .491 79
M2.e. Trust in group village headmen .54 .501 79
M2.f. Trust in village headmen .66 .477 79
M2.j. Trust in police .61 .491 79
M2.l. Trust in teachers .58 .496 79
M2.m.Trust in school administrators .57 .498 79
M2.n. Trust in religious leaders .71 .457 79
M3.a. Trust in family members .90 .304 79
M3.b. Trust in relatives .84 .373 79
M3.c. Trust in people in own village .54 .501 79
M3.d. Trust in people outside the village .30 .463 79
M3.e. Trust in people of same ethnic group .39 .491 79
M3.f. Trust in people outside ethnic group .27 .445 79
M3.g. Trust in people from same church/ mosque .51 .503 79
M3.h. Trust in people not from same church/ mosque .32 .468 79
Factor Analysis
Factor Analysis - Communalities - February 24, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 46 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .244 .187 1.000 .767
K1b Lending money to relatives .209 .157 1.000 .751
K1c Lending money to people in your own village .248 .190 1.000 .767
K1d Lending money to people outside the village .178 .111 1.000 .623
K1e Lending money to people from the same mosque/ church .156 .093 1.000 .596
K2a Lending tools like axes, hoes etc. to family members .178 .118 1.000 .660
K2b Lending tools like axes, hoes etc. to relatives outside the household .130 .085 1.000 .653
K2c Lending tools like axes, hoes etc. to people in your own village .198 .139 1.000 .705
K2d Lending tools like axes, hoes etc. to people outside the village .164 .100 1.000 .613
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .204 .172 1.000 .846
L2 Participated in cooperative agricultural work .251 .201 1.000 .798
L3.a. Participated last 12 months in cooperative work of preparing a garden .209 .120 1.000 .573
L3.b. Participated last12 months in cooperative work of planting .092 .034 1.000 .368
L3.d. Participated last 12 months in cooperative work of weeding .171 .121 1.000 .705
L3.e. Participated last 12 months in cooperative work of harvesting .224 .152 1.000 .681
L3.f. Participated last 12 months in cooperative work of other agriculture work .228 .154 1.000 .675
L6 Participation in other exchange work than agriculture .232 .126 1.000 .542
L7 Participated in public works without payment during the last year .252 .228 1.000 .905
L8.a. Participated in school project over the last 12 months .253 .218 1.000 .860
L8.b. Participated in road project over the last 12 months .248 .178 1.000 .715
L8.c. Participated in bridge project over the last 12 months .164 .108 1.000 .661
L8.d. Participated in church project over the last 12 months .191 .147 1.000 .770
L8.g. Participated in health centre project over the last 12 months .121 .067 1.000 .552
L8.h. Participated in irrigation project over the last 12 months .092 .044 1.000 .480
L8.i. Participated in borehole project over the last 12 months .214 .172 1.000 .804
L8.k. Participated in graveyard clearing project over the last 12 months .235 .166 1.000 .704
M1 Most people can be trusted (1) or you cannot be too careful (0) .253 .156 1.000 .615
M2.d. Trust in Traditional Authorities .241 .163 1.000 .677
M2.e. Trust in group village headmen .251 .200 1.000 .798
M2.f. Trust in village headmen .228 .177 1.000 .778
M2.j. Trust in police .241 .147 1.000 .610
M2.l. Trust in teachers .246 .196 1.000 .795
M2.m.Trust in school administrators .248 .183 1.000 .736
M2.n. Trust in religious leaders .209 .144 1.000 .690
M3.a. Trust in family members .092 .047 1.000 .505
M3.b. Trust in relatives .139 .068 1.000 .489
M3.c. Trust in people in own village .251 .158 1.000 .630
M3.d. Trust in people outside the village .214 .147 1.000 .688
M3.e. Trust in people of same ethnic group .241 .177 1.000 .733
M3.f. Trust in people outside ethnic group .198 .144 1.000 .731
M3.g. Trust in people from same church/ mosque .253 .179 1.000 .709
M3.h. Trust in people not from same church/ mosque .219 .165 1.000 .755
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - February 24, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 89 rows
  Component Initial Eigenvaluesa Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings
  Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %
Raw 1 2.129 24.718 24.718 2.129 24.718 24.718 1.162 13.494 13.494
2 1.268 14.717 39.435 1.268 14.717 39.435 1.033 11.996 25.490
3 .676 7.844 47.279 .676 7.844 47.279 .806 9.362 34.852
4 .515 5.974 53.253 .515 5.974 53.253 .744 8.635 43.486
5 .437 5.076 58.329 .437 5.076 58.329 .685 7.953 51.439
6 .395 4.590 62.918 .395 4.590 62.918 .647 7.515 58.954
7 .335 3.885 66.803 .335 3.885 66.803 .472 5.482 64.437
8 .286 3.323 70.126 .286 3.323 70.126 .490 5.689 70.126
9 .227 2.636 72.762            
10 .201 2.333 75.095            
11 .185 2.148 77.242            
12 .167 1.934 79.176            
13 .160 1.856 81.032            
14 .143 1.660 82.693            
15 .138 1.597 84.289            
16 .131 1.526 85.815            
17 .111 1.285 87.101            
18 .107 1.238 88.338            
19 .100 1.165 89.503            
20 .092 1.072 90.576            
21 .088 1.019 91.595            
22 .073 .846 92.440            
23 .073 .842 93.282            
24 .068 .792 94.074            
25 .060 .696 94.770            
26 .055 .633 95.403            
27 .050 .584 95.987            
28 .048 .553 96.540            
29 .042 .491 97.031            
30 .037 .424 97.455            
31 .034 .394 97.850            
32 .030 .345 98.195            
33 .029 .341 98.535            
34 .024 .279 98.815            
35 .023 .268 99.083            
36 .021 .241 99.324            
37 .015 .174 99.498            
38 .013 .145 99.643            
39 .011 .133 99.776            
40 .009 .100 99.877            
41 .007 .079 99.956            
42 .004 .044 100.000            
Rescaled 1 2.129 24.718 24.718 9.548 22.734 22.734 5.130 12.214 12.214
2 1.268 14.717 39.435 5.762 13.719 36.453 4.625 11.012 23.226
3 .676 7.844 47.279 3.556 8.468 44.921 4.184 9.961 33.187
4 .515 5.974 53.253 2.394 5.699 50.620 3.347 7.970 41.157
5 .437 5.076 58.329 2.268 5.400 56.021 3.328 7.924 49.082
6 .395 4.590 62.918 2.069 4.926 60.947 3.314 7.890 56.972
7 .335 3.885 66.803 1.674 3.985 64.933 2.692 6.409 63.381
8 .286 3.323 70.126 1.439 3.426 68.358 2.090 4.977 68.358
9 .227 2.636 72.762            
10 .201 2.333 75.095            
11 .185 2.148 77.242            
12 .167 1.934 79.176            
13 .160 1.856 81.032            
14 .143 1.660 82.693            
15 .138 1.597 84.289            
16 .131 1.526 85.815            
17 .111 1.285 87.101            
18 .107 1.238 88.338            
19 .100 1.165 89.503            
20 .092 1.072 90.576            
21 .088 1.019 91.595            
22 .073 .846 92.440            
23 .073 .842 93.282            
24 .068 .792 94.074            
25 .060 .696 94.770            
26 .055 .633 95.403            
27 .050 .584 95.987            
28 .048 .553 96.540            
29 .042 .491 97.031            
30 .037 .424 97.455            
31 .034 .394 97.850            
32 .030 .345 98.195            
33 .029 .341 98.535            
34 .024 .279 98.815            
35 .023 .268 99.083            
36 .021 .241 99.324            
37 .015 .174 99.498            
38 .013 .145 99.643            
39 .011 .133 99.776            
40 .009 .100 99.877            
41 .007 .079 99.956            
42 .004 .044 100.000            
Extraction Method: Principal Component Analysis.
a. When analyzing a covariance matrix, the initial eigenvalues are the same across the raw and rescaled solution.
Factor Analysis
Factor Analysis - Scree Plot - February 24, 2020
Scree Plot Component Number: 42
Eigenvalue: 0.0038 Component Number: 41
Eigenvalue: 0.0068 Component Number: 40
Eigenvalue: 0.0086 Component Number: 39
Eigenvalue: 0.0115 Component Number: 38
Eigenvalue: 0.0125 Component Number: 37
Eigenvalue: 0.0150 Component Number: 36
Eigenvalue: 0.0207 Component Number: 35
Eigenvalue: 0.0231 Component Number: 34
Eigenvalue: 0.0241 Component Number: 33
Eigenvalue: 0.0294 Component Number: 32
Eigenvalue: 0.0297 Component Number: 31
Eigenvalue: 0.0340 Component Number: 30
Eigenvalue: 0.0365 Component Number: 29
Eigenvalue: 0.0423 Component Number: 28
Eigenvalue: 0.0477 Component Number: 27
Eigenvalue: 0.0503 Component Number: 26
Eigenvalue: 0.0545 Component Number: 25
Eigenvalue: 0.0600 Component Number: 24
Eigenvalue: 0.0682 Component Number: 23
Eigenvalue: 0.0725 Component Number: 22
Eigenvalue: 0.0728 Component Number: 21
Eigenvalue: 0.0878 Component Number: 20
Eigenvalue: 0.0924 Component Number: 19
Eigenvalue: 0.1003 Component Number: 18
Eigenvalue: 0.1066 Component Number: 17
Eigenvalue: 0.1107 Component Number: 16
Eigenvalue: 0.1315 Component Number: 15
Eigenvalue: 0.1375 Component Number: 14
Eigenvalue: 0.1430 Component Number: 13
Eigenvalue: 0.1599 Component Number: 12
Eigenvalue: 0.1666 Component Number: 11
Eigenvalue: 0.1850 Component Number: 10
Eigenvalue: 0.2010 Component Number: 9
Eigenvalue: 0.2270 Component Number: 8
Eigenvalue: 0.2862 Component Number: 7
Eigenvalue: 0.3347 Component Number: 6
Eigenvalue: 0.3953 Component Number: 5
Eigenvalue: 0.4372 Component Number: 4
Eigenvalue: 0.5146 Component Number: 3
Eigenvalue: 0.6757 Component Number: 2
Eigenvalue: 1.2678 Component Number: 1
Eigenvalue: 2.1292 Component Number: 41
Eigenvalue: 0.0068 Component Number: 40
Eigenvalue: 0.0086 Component Number: 39
Eigenvalue: 0.0115 Component Number: 38
Eigenvalue: 0.0125 Component Number: 37
Eigenvalue: 0.0150 Component Number: 36
Eigenvalue: 0.0207 Component Number: 35
Eigenvalue: 0.0231 Component Number: 34
Eigenvalue: 0.0241 Component Number: 33
Eigenvalue: 0.0294 Component Number: 32
Eigenvalue: 0.0297 Component Number: 31
Eigenvalue: 0.0340 Component Number: 30
Eigenvalue: 0.0365 Component Number: 29
Eigenvalue: 0.0423 Component Number: 28
Eigenvalue: 0.0477 Component Number: 27
Eigenvalue: 0.0503 Component Number: 26
Eigenvalue: 0.0545 Component Number: 25
Eigenvalue: 0.0600 Component Number: 24
Eigenvalue: 0.0682 Component Number: 23
Eigenvalue: 0.0725 Component Number: 22
Eigenvalue: 0.0728 Component Number: 21
Eigenvalue: 0.0878 Component Number: 20
Eigenvalue: 0.0924 Component Number: 19
Eigenvalue: 0.1003 Component Number: 18
Eigenvalue: 0.1066 Component Number: 17
Eigenvalue: 0.1107 Component Number: 16
Eigenvalue: 0.1315 Component Number: 15
Eigenvalue: 0.1375 Component Number: 14
Eigenvalue: 0.1430 Component Number: 13
Eigenvalue: 0.1599 Component Number: 12
Eigenvalue: 0.1666 Component Number: 11
Eigenvalue: 0.1850 Component Number: 10
Eigenvalue: 0.2010 Component Number: 9
Eigenvalue: 0.2270 Component Number: 8
Eigenvalue: 0.2862 Component Number: 7
Eigenvalue: 0.3347 Component Number: 6
Eigenvalue: 0.3953 Component Number: 5
Eigenvalue: 0.4372 Component Number: 4
Eigenvalue: 0.5146 Component Number: 3
Eigenvalue: 0.6757 Component Number: 2
Eigenvalue: 1.2678 Component Number: 1
Eigenvalue: 2.1292 0.0 0.5 1.0 1.5 2.0 2.5 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41

{"copyright":"(C) Copyright IBM Corp. 2011","grammar":[{"elements":[{"data":{"$ref":"dSource"},"style":{"outline":{"r":0,"b":0,"g":0},"fill":{"r":0,"b":157,"g":100},"stroke":{"width":3.3333333}},"position":[{"field":{"$ref":"fVariable1"}},{"field":{"$ref":"fVariable"}}],"type":"line"},{"data":{"$ref":"dSource"},"style":{"symbol":"circle","outline":{"r":0,"b":157,"g":100},"size":6.6666665,"fill":{"r":119,"b":119,"g":118}},"position":[{"field":{"$ref":"fVariable1"}},{"field":{"$ref":"fVariable"}}],"type":"point"}],"coordinates":{"style":{"outline":{"r":0,"b":157,"g":100},"fill":{"r":255,"b":255,"g":255}},"dimensions":[{"scale":{"padding":{"left":"5%","right":"5%"}},"axis":[{"tickStyle":{"padding":5.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"8pt","weight":"normal","family":"sans-serif"}},"gridStyle":{"fill":{"r":0,"b":157,"g":100}},"lineStyle":{"fill":{"r":0,"b":157,"g":100},"stroke":{"width":0.6666667}},"titleStyle":{"padding":6.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"title":["Eigenvalue"],"markStyle":{"fill":{"a":0,"r":0,"b":157,"g":100},"stroke":{"width":1.3333334}}}]},{"scale":{"padding":{"left":"5%","right":"5%"}},"axis":[{"tickStyle":{"padding":5.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"normal","family":"sans-serif"}},"lineStyle":{"fill":{"r":0,"b":157,"g":100},"stroke":{"width":0.6666667}},"titleStyle":{"padding":6.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"title":["Component Number"],"markStyle":{"fill":{"a":0,"r":0,"b":157,"g":100},"stroke":{"width":1.3333334}}}]}]}}],"data":[{"id":"dSource","fields":[{"id":"fVariable","label":"Component Number","categories":[]},{"min":0.003811034910513529,"max":2.129201073743022,"id":"fVariable1","label":"Eigenvalue"}],"rows":[[0,2.129201073743022],[1,1.267759028890319],[2,0.6756927609942726],[3,0.5146040562882145],[4,0.4372197527833368],[5,0.3953447057132984],[6,0.3346506899251034],[7,0.2862485640988612],[8,0.2270367582334641],[9,0.2009531390085752],[10,0.1850122705186145],[11,0.1665891404811874],[12,0.1598911211268763],[13,0.1430190966953667],[14,0.1375280686058958],[15,0.1314520969279299],[16,0.1107165314582841],[17,0.1066318136043668],[18,0.1003431292237114],[19,0.09237377140142342],[20,0.08776311836076917],[21,0.07283713193109544],[22,0.07252468316261708],[23,0.06822034829648929],[24,0.0599670132675816],[25,0.05453898159717519],[26,0.05026379121950589],[27,0.04767209186653266],[28,0.04228702268990851],[29,0.03654258941834906],[30,0.03395827139397963],[31,0.02973489246748427],[32,0.02935002338214026],[33,0.02405448163316533],[34,0.02309339174400565],[35,0.02074189957135905],[36,0.01499602073666641],[37,0.0125320356218092],[38,0.01147767710240499],[39,0.008640931113229647],[40,0.006811334396415845],[41,0.003811034910513529]]}],"size":{"width":850.0,"height":500.0},"style":{"outline":{"a":0.0,"r":0,"b":0,"g":0},"fill":{"r":255,"b":255,"g":255}},"titles":[{"backgroundStyle":{"outline":{"a":0.0,"r":0,"b":0,"g":0},"fill":{"a":0.0,"r":0,"b":0,"g":0}},"style":{"padding":3.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"type":"title","content":["Scree Plot"]}],"version":"6.0"}

Factor Analysis
Factor Analysis - Component Matrix - February 24, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 17 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8
K1a Lending money to family members .207 -.204 -.096 .156 .165 .032 .164 .119 .418 -.413 -.195 .316 .334 .065 .332 .240
K1b Lending money to relatives .238 -.209 .061 .081 .144 -.088 .107 .080 .520 -.457 .134 .176 .315 -.192 .233 .175
K1c Lending money to people in your own village .280 -.143 .129 .125 .138 -.101 .172 -.018 .562 -.288 .260 .250 .277 -.203 .345 -.036
K1d Lending money to people outside the village .091 -.039 .191 .132 .056 -.204 .013 -.050 .215 -.092 .451 .312 .134 -.484 .032 -.118
K1e Lending money to people from the same mosque/ church .105 -.003 .166 -.085 .165 -.080 -.110 .039 .265 -.009 .420 -.216 .417 -.203 -.280 .099
K2a Lending tools like axes, hoes etc. to family members .176 -.110 .000 .175 .139 .138 .075 .011 .416 -.260 -.001 .414 .330 .326 .178 .026
K2b Lending tools like axes, hoes etc. to relatives outside the household .126 -.060 .092 .098 .123 .171 .004 -.058 .348 -.166 .255 .272 .341 .473 .012 -.161
K2c Lending tools like axes, hoes etc. to people in your own village -.015 -.065 .185 .137 .192 .177 -.115 -.017 -.034 -.146 .415 .309 .433 .399 -.258 -.039
K2d Lending tools like axes, hoes etc. to people outside the village -.006 .151 .157 .034 .168 .080 -.130 -.002 -.014 .374 .387 .084 .416 .198 -.321 -.006
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.122 .181 .217 -.052 .088 .227 -.110 .058 -.270 .402 .481 -.115 .194 .503 -.243 .128
L2 Participated in cooperative agricultural work .336 -.089 .193 -.131 -.132 .076 .015 .043 .670 -.179 .386 -.261 -.264 .151 .030 .087
L3.a. Participated last 12 months in cooperative work of preparing a garden .216 -.031 .188 -.102 -.006 -.107 -.039 .116 .473 -.068 .411 -.222 -.012 -.234 -.085 .253
L3.b. Participated last12 months in cooperative work of planting .032 -.031 .136 -.026 -.094 -.040 .027 .043 .105 -.101 .446 -.085 -.309 -.131 .090 .141
L3.d. Participated last 12 months in cooperative work of weeding .149 .001 .270 -.062 -.010 -.119 -.073 .044 .359 .003 .654 -.149 -.025 -.287 -.178 .107
L3.e. Participated last 12 months in cooperative work of harvesting .262 -.074 .228 -.069 -.093 -.071 .040 -.076 .554 -.157 .483 -.146 -.197 -.150 .085 -.161
L3.f. Participated last 12 months in cooperative work of other agriculture work .318 -.066 .017 -.066 -.140 .148 .050 -.008 .665 -.138 .036 -.139 -.292 .310 .105 -.017
L6 Participation in other exchange work than agriculture .239 -.138 .039 -.114 -.005 .090 -.053 .154 .497 -.286 .082 -.238 -.010 .187 -.109 .321
L7 Participated in public works without payment during the last year -.454 .127 .026 -.006 .042 -.052 .024 .026 -.903 .252 .052 -.011 .085 -.104 .048 .051
L8.a. Participated in school project over the last 12 months -.432 .133 .071 .055 .035 -.021 .057 .011 -.859 .265 .140 .110 .069 -.042 .114 .021
L8.b. Participated in road project over the last 12 months -.363 .170 .084 .051 .053 -.052 .033 .031 -.728 .342 .169 .103 .105 -.104 .066 .062
L8.c. Participated in bridge project over the last 12 months -.161 .227 .099 .013 .059 -.061 .090 .075 -.397 .561 .245 .032 .145 -.152 .223 .184
L8.d. Participated in church project over the last 12 months -.216 .220 .155 -.067 -.022 .027 .132 .075 -.494 .502 .353 -.153 -.050 .061 .301 .171
L8.g. Participated in health centre project over the last 12 months -.108 .152 .139 -.025 .055 .088 .030 .023 -.309 .438 .399 -.072 .159 .252 .087 .066
L8.h. Participated in irrigation project over the last 12 months -.089 .044 .081 -.044 -.107 .013 .114 .036 -.292 .144 .266 -.145 -.354 .041 .376 .119
L8.i. Participated in borehole project over the last 12 months -.271 .189 .116 -.030 -.071 .014 .190 .085 -.586 .409 .251 -.064 -.154 .030 .411 .183
L8.k. Participated in graveyard clearing project over the last 12 months -.327 .040 -.124 .039 .123 -.122 -.047 .089 -.675 .082 -.255 .080 .254 -.252 -.097 .183
M1 Most people can be trusted (1) or you cannot be too careful (0) .352 .150 -.005 .001 .010 -.081 -.049 -.012 .700 .297 -.011 .002 .020 -.161 -.098 -.024
M2.d. Trust in Traditional Authorities .124 .231 -.133 -.175 .125 .138 .006 .106 .253 .470 -.271 -.356 .255 .282 .013 .216
M2.e. Trust in group village headmen .226 .243 -.155 -.196 .087 -.063 .001 .129 .451 .485 -.309 -.390 .173 -.125 .002 .257
M2.f. Trust in village headmen .244 .193 -.117 -.206 .135 -.066 -.041 .016 .511 .404 -.245 -.431 .284 -.138 -.086 .034
M2.j. Trust in police .218 .261 -.053 -.001 .058 -.108 -.031 -.113 .444 .530 -.109 -.003 .119 -.219 -.064 -.231
M2.l. Trust in teachers .114 .263 -.002 -.149 .143 .066 .193 -.171 .230 .530 -.004 -.300 .288 .133 .388 -.345
M2.m.Trust in school administrators .231 .228 .056 -.082 .020 .062 .166 -.188 .465 .458 .113 -.164 .039 .125 .334 -.377
M2.n. Trust in religious leaders .216 .176 -.206 .050 .089 -.059 -.066 -.079 .471 .385 -.450 .109 .195 -.129 -.145 -.172
M3.a. Trust in family members .135 .025 -.034 .051 .031 -.076 .053 .121 .444 .081 -.111 .167 .101 -.249 .175 .398
M3.b. Trust in relatives .196 .043 -.036 -.004 .002 -.030 .066 .146 .525 .116 -.095 -.012 .005 -.081 .177 .391
M3.c. Trust in people in own village .217 .220 -.097 .180 -.032 .029 .086 .110 .433 .438 -.193 .360 -.063 .058 .172 .218
M3.d. Trust in people outside the village .216 .176 -.071 .164 -.166 .093 .016 .042 .466 .380 -.152 .353 -.358 .201 .035 .091
M3.e. Trust in people of same ethnic group .183 .328 .066 .114 -.120 -.022 -.044 .041 .373 .668 .134 .232 -.243 -.044 -.090 .084
M3.f. Trust in people outside ethnic group .144 .229 -.054 .191 -.098 .070 -.088 .097 .323 .515 -.121 .430 -.221 .158 -.198 .218
M3.g. Trust in people from same church/ mosque .201 .290 .135 .120 -.011 -.102 -.100 -.037 .400 .577 .267 .239 -.022 -.202 -.200 -.074
M3.h. Trust in people not from same church/ mosque .097 .321 .052 .206 -.077 -.004 -.017 -.039 .207 .686 .110 .441 -.163 -.008 -.036 -.084
Extraction Method: Principal Component Analysis.
a. 8 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - February 24, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 17 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8
K1a Lending money to family members .071 -.026 -.116 .023 .404 -.051 -.012 -.040 .144 -.052 -.236 .046 .817 -.104 -.023 -.080
K1b Lending money to relatives .098 -.057 -.107 .002 .329 .155 -.015 -.014 .215 -.125 -.235 .004 .719 .339 -.033 -.030
K1c Lending money to people in your own village .110 .007 -.077 -.055 .344 .195 -.005 .115 .220 .014 -.154 -.110 .690 .391 -.011 .230
K1d Lending money to people outside the village -.048 .051 -.037 -.125 .117 .269 -.003 .055 -.113 .121 -.087 -.296 .277 .638 -.006 .130
K1e Lending money to people from the same mosque/ church .008 -.053 -.049 .107 .020 .240 .135 .003 .021 -.134 -.125 .270 .050 .609 .341 .008
K2a Lending tools like axes, hoes etc. to family members .092 .038 -.099 -.043 .273 -.060 .131 .024 .219 .090 -.235 -.102 .647 -.142 .311 .057
K2b Lending tools like axes, hoes etc. to relatives outside the household .106 .012 -.065 -.057 .136 -.018 .208 .065 .294 .032 -.180 -.158 .376 -.049 .576 .180
K2c Lending tools like axes, hoes etc. to people in your own village -.010 -.027 -.041 -.105 .080 .030 .343 -.032 -.022 -.061 -.092 -.236 .179 .067 .771 -.071
K2d Lending tools like axes, hoes etc. to people outside the village -.070 .072 .022 .053 -.039 .086 .277 .036 -.174 .178 .055 .132 -.097 .214 .684 .088
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.009 .026 .189 .051 -.137 .001 .337 -.021 -.019 .057 .419 .114 -.304 .003 .748 -.046
L2 Participated in cooperative agricultural work .408 .022 .002 .040 .042 .174 .013 .004 .813 .045 .003 .080 .084 .348 .025 .008
L3.a. Participated last 12 months in cooperative work of preparing a garden .165 .011 .007 .097 .049 .279 .001 -.049 .362 .023 .015 .212 .107 .611 .003 -.106
L3.b. Participated last12 months in cooperative work of planting .091 .001 .084 -.051 -.007 .116 -.032 -.036 .300 .003 .278 -.167 -.022 .383 -.106 -.120
L3.d. Participated last 12 months in cooperative work of weeding .114 .025 .030 .010 -.013 .320 .055 -.014 .275 .060 .072 .024 -.031 .774 .133 -.034
L3.e. Participated last 12 months in cooperative work of harvesting .265 .013 -.014 -.057 .036 .256 -.033 .102 .559 .028 -.030 -.121 .076 .542 -.069 .216
L3.f. Participated last 12 months in cooperative work of other agriculture work .372 .068 -.058 .039 .061 -.013 -.025 .042 .779 .142 -.121 .082 .128 -.028 -.053 .088
L6 Participation in other exchange work than agriculture .267 -.048 -.070 .132 .088 .068 .042 -.124 .556 -.099 -.145 .274 .182 .140 .088 -.258
L7 Participated in public works without payment during the last year -.350 -.098 .245 -.063 -.157 -.072 .027 -.042 -.696 -.195 .488 -.126 -.313 -.144 .054 -.084
L8.a. Participated in school project over the last 12 months -.327 -.057 .268 -.115 -.117 -.072 .058 -.020 -.649 -.113 .533 -.229 -.233 -.144 .114 -.040
L8.b. Participated in road project over the last 12 months -.313 -.011 .245 -.065 -.105 -.017 .064 -.014 -.627 -.022 .491 -.130 -.211 -.034 .129 -.028
L8.c. Participated in bridge project over the last 12 months -.189 .072 .241 .052 -.022 .050 .040 .043 -.468 .178 .596 .128 -.053 .124 .098 .108
L8.d. Participated in church project over the last 12 months -.108 .018 .350 .025 -.090 .008 .050 .041 -.246 .042 .800 .058 -.205 .018 .114 .095
L8.g. Participated in health centre project over the last 12 months -.053 .021 .188 .023 -.053 .008 .151 .046 -.153 .060 .539 .066 -.151 .023 .434 .133
L8.h. Participated in irrigation project over the last 12 months .026 -.009 .194 -.042 -.038 -.005 -.052 .003 .087 -.031 .638 -.138 -.127 -.016 -.172 .010
L8.i. Participated in borehole project over the last 12 months -.132 .011 .383 -.028 -.068 -.044 -.018 .019 -.285 .023 .828 -.061 -.146 -.094 -.039 .041
L8.k. Participated in graveyard clearing project over the last 12 months -.366 -.087 .047 .026 -.046 -.071 -.024 -.118 -.754 -.178 .096 .055 -.095 -.146 -.050 -.244
M1 Most people can be trusted (1) or you cannot be too careful (0) .134 .228 -.137 .169 .052 .152 -.024 .111 .266 .453 -.272 .335 .103 .302 -.048 .221
M2.d. Trust in Traditional Authorities .047 .072 .034 .361 -.012 -.110 .084 .070 .096 .147 .069 .735 -.024 -.225 .171 .142
M2.e. Trust in group village headmen .035 .123 -.024 .415 .003 .033 -.071 .072 .071 .245 -.049 .828 .007 .067 -.142 .143
M2.f. Trust in village headmen .043 .068 -.104 .366 -.018 .073 -.021 .141 .091 .142 -.218 .766 -.037 .154 -.045 .296
M2.j. Trust in police -.022 .226 -.105 .165 -.027 .094 -.021 .217 -.045 .460 -.213 .336 -.056 .192 -.044 .443
M2.l. Trust in teachers .024 .043 .096 .192 .009 -.035 .053 .379 .049 .086 .194 .386 .019 -.071 .107 .763
M2.m.Trust in school administrators .151 .138 .056 .104 .015 .023 .022 .355 .303 .276 .113 .209 .029 .046 .045 .712
M2.n. Trust in religious leaders -.043 .203 -.215 .180 .028 -.032 -.035 .139 -.094 .445 -.471 .393 .061 -.070 -.076 .303
M3.a. Trust in family members .013 .092 -.013 .093 .144 .057 -.062 -.036 .042 .301 -.043 .306 .475 .189 -.203 -.118
M3.b. Trust in relatives .096 .104 .005 .149 .137 .046 -.064 -.031 .259 .278 .013 .398 .367 .122 -.171 -.083
M3.c. Trust in people in own village .038 .338 .015 .112 .156 -.061 -.033 .029 .076 .674 .030 .223 .312 -.122 -.065 .058
M3.d. Trust in people outside the village .142 .341 -.012 .020 .041 -.086 -.033 .007 .307 .737 -.026 .043 .089 -.186 -.072 .015
M3.e. Trust in people of same ethnic group .048 .389 .063 .076 -.053 .089 .018 .054 .098 .791 .128 .154 -.108 .182 .036 .109
M3.f. Trust in people outside ethnic group .030 .362 -.018 .053 .001 -.054 .046 -.063 .068 .815 -.040 .120 .002 -.121 .104 -.141
M3.g. Trust in people from same church/ mosque -.007 .337 -.021 .051 -.040 .208 .074 .110 -.015 .670 -.042 .101 -.080 .414 .148 .218
M3.h. Trust in people not from same church/ mosque -.044 .381 .055 -.020 -.031 .028 .052 .103 -.093 .814 .117 -.044 -.066 .061 .110 .219
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.a
a. Rotation converged in 17 iterations.
Factor Analysis
Factor Analysis - Component Transformation Matrix - February 24, 2020
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 9 columns and 11 rows
Component 1 2 3 4 5 6 7 8
1 .624 .360 -.401 .296 .345 .272 -.042 .195
2 -.265 .653 .347 .402 -.305 -.016 .122 .336
3 .212 -.045 .442 -.338 -.030 .666 .444 .045
4 -.295 .566 -.159 -.567 .436 -.113 .139 -.152
5 -.448 -.309 -.203 .364 .438 .097 .522 .234
6 .448 -.009 .141 -.020 -.025 -.646 .600 -.022
7 .080 -.123 .560 -.059 .556 -.195 -.366 .425
8 .007 .100 .351 .423 .309 .064 -.019 -.767
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - February 24, 2020
Component Plot of Factors 1, 2, 3 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 Component 1: 0.0867
Component 2: -0.0307
Component 3: 0.6377 Component 1: -0.2458
Component 2: 0.0419
Component 3: 0.8000 Component 1: -0.2852
Component 2: 0.0230
Component 3: 0.8276 Component 1: 0.8131
Component 2: 0.0445
Component 3: 0.0033 Component 1: 0.3003
Component 2: 0.0028
Component 3: 0.2783 Component 1: 0.7786
Component 2: 0.1422
Component 3: -0.1209 Component 1: -0.1535
Component 2: 0.0603
Component 3: 0.5388 Component 1: -0.0189
Component 2: 0.0571
Component 3: 0.4193 Component 1: 0.3029
Component 2: 0.2762
Component 3: 0.1128 Component 1: 0.5594
Component 2: 0.0277
Component 3: -0.0301 Component 1: 0.0982
Component 2: 0.7906
Component 3: 0.1276 Component 1: 0.3073
Component 2: 0.7369
Component 3: -0.0262 Component 1: -0.4681
Component 2: 0.1782
Component 3: 0.5957 Component 1: 0.2755
Component 2: 0.0601
Component 3: 0.0725 Component 1: 0.3620
Component 2: 0.0232
Component 3: 0.0149 Component 1: 0.2586
Component 2: 0.2785
Component 3: 0.0134 Component 1: 0.0492
Component 2: 0.0863
Component 3: 0.1939 Component 1: 0.0764
Component 2: 0.6739
Component 3: 0.0303 Component 1: -0.0933
Component 2: 0.8139
Component 3: 0.1165 Component 1: 0.5555
Component 2: -0.0991
Component 3: -0.1445 Component 1: 0.0677
Component 2: 0.8153
Component 3: -0.0398 Component 1: 0.0955
Component 2: 0.1471
Component 3: 0.0693 Component 1: -0.0146
Component 2: 0.6705
Component 3: -0.0418 Component 1: 0.0706
Component 2: 0.2452
Component 3: -0.0486 Component 1: -0.6494
Component 2: -0.1131
Component 3: 0.5325 Component 1: 0.0424
Component 2: 0.3014
Component 3: -0.0429 Component 1: -0.6275
Component 2: -0.0220
Component 3: 0.4910 Component 1: 0.2942
Component 2: 0.0322
Component 3: -0.1802 Component 1: 0.2659
Component 2: 0.4529
Component 3: -0.2724 Component 1: 0.2202
Component 2: 0.0143
Component 3: -0.1543 Component 1: -0.1736
Component 2: 0.1783
Component 3: 0.0546 Component 1: -0.6960
Component 2: -0.1955
Component 3: 0.4875 Component 1: 0.2189
Component 2: 0.0901
Component 3: -0.2349 Component 1: 0.2150
Component 2: -0.1246
Component 3: -0.2350 Component 1: -0.0217
Component 2: -0.0611
Component 3: -0.0920 Component 1: 0.0907
Component 2: 0.1424
Component 3: -0.2176 Component 1: 0.0210
Component 2: -0.1343
Component 3: -0.1246 Component 1: -0.1134
Component 2: 0.1207
Component 3: -0.0869 Component 1: -0.0446
Component 2: 0.4599
Component 3: -0.2135 Component 1: 0.1436
Component 2: -0.0525
Component 3: -0.2357 Component 1: -0.0936
Component 2: 0.4446
Component 3: -0.4710 Component 1: -0.7537
Component 2: -0.1784
Component 3: 0.0961

Log
Log - Log - February 24, 2020

FILTER OFF.
USE ALL.
EXECUTE.
USE ALL.
COMPUTE filter_$=(REGION = 3).
VARIABLE LABELS filter_$ 'REGION = 3 (FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.
FACTOR
  /VARIABLES K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8c L8d
    L8g L8h L8i L8k M1trust M2dTradBIN M2eGVHBIN M2fVHBIN M2jPoliceBIN M2lTeachBIN M2mSchABIN
    M2nRelLeBIN M3aFamilBIN M3bRelatBIN M3cOwnVBIN M3dOutsVBIN M3eSaEthBIN M3fOutsEtBIN M3gSaChMBIN
    M3hNSaChMBIN
  /MISSING LISTWISE
  /ANALYSIS K1a K1b K1c K1d K1e K2a K2b K2c K2d K2e L2 L3a L3b L3d L3e L3f L6 L7 L8a L8b L8c L8d
    L8g L8h L8i L8k M1trust M2dTradBIN M2eGVHBIN M2fVHBIN M2jPoliceBIN M2lTeachBIN M2mSchABIN
    M2nRelLeBIN M3aFamilBIN M3bRelatBIN M3cOwnVBIN M3dOutsVBIN M3eSaEthBIN M3fOutsEtBIN M3gSaChMBIN
    M3hNSaChMBIN
  /PRINT UNIVARIATE INITIAL EXTRACTION ROTATION
  /PLOT EIGEN ROTATION
  /CRITERIA FACTORS(9) ITERATE(25)
  /EXTRACTION PC
  /CRITERIA ITERATE(25)
  /ROTATION VARIMAX
  /SAVE REG(ALL)
  /METHOD=COVARIANCE.

Factor Analysis
Factor Analysis - Descriptive Statistics - February 24, 2020
Descriptive StatisticsDescriptive Statistics, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 44 rows
  Mean Std. Deviation Analysis N
K1a Lending money to family members .24 .430 83
K1b Lending money to relatives .30 .462 83
K1c Lending money to people in your own village .18 .387 83
K1d Lending money to people outside the village .07 .261 83
K1e Lending money to people from the same mosque/ church .10 .297 83
K2a Lending tools like axes, hoes etc. to family members .61 .490 83
K2b Lending tools like axes, hoes etc. to relatives outside the household .81 .397 83
K2c Lending tools like axes, hoes etc. to people in your own village .61 .490 83
K2d Lending tools like axes, hoes etc. to people outside the village .23 .423 83
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .25 .437 83
L2 Participated in cooperative agricultural work .18 .387 83
L3.a. Participated last 12 months in cooperative work of preparing a garden .06 .239 83
L3.b. Participated last12 months in cooperative work of planting .06 .239 83
L3.d. Participated last 12 months in cooperative work of weeding .04 .188 83
L3.e. Participated last 12 months in cooperative work of harvesting .14 .354 83
L3.f. Participated last 12 months in cooperative work of other agriculture work .04 .188 83
L6 Participation in other exchange work than agriculture .40 .492 83
L7 Participated in public works without payment during the last year .92 .280 83
L8.a. Participated in school project over the last 12 months .34 .476 83
L8.b. Participated in road project over the last 12 months .71 .456 83
L8.c. Participated in bridge project over the last 12 months .27 .444 83
L8.d. Participated in church project over the last 12 months .37 .487 83
L8.g. Participated in health centre project over the last 12 months .18 .387 83
L8.h. Participated in irrigation project over the last 12 months .11 .313 83
L8.i. Participated in borehole project over the last 12 months .37 .487 83
L8.k. Participated in graveyard clearing project over the last 12 months .66 .476 83
M1 Most people can be trusted (1) or you cannot be too careful (0) .47 .502 83
M2.d. Trust in Traditional Authorities .51 .503 83
M2.e. Trust in group village headmen .46 .501 83
M2.f. Trust in village headmen .51 .503 83
M2.j. Trust in police .46 .501 83
M2.l. Trust in teachers .54 .501 83
M2.m.Trust in school administrators .54 .501 83
M2.n. Trust in religious leaders .60 .492 83
M3.a. Trust in family members .78 .415 83
M3.b. Trust in relatives .46 .501 83
M3.c. Trust in people in own village .33 .471 83
M3.d. Trust in people outside the village .22 .415 83
M3.e. Trust in people of same ethnic group .34 .476 83
M3.f. Trust in people outside ethnic group .25 .437 83
M3.g. Trust in people from same church/ mosque .47 .502 83
M3.h. Trust in people not from same church/ mosque .29 .456 83
Factor Analysis
Factor Analysis - Communalities - February 24, 2020
CommunalitiesCommunalities, table, 2 levels of column headers and 1 levels of row headers, table with 5 columns and 46 rows
  Raw Rescaled
Initial Extraction Initial Extraction
K1a Lending money to family members .185 .156 1.000 .842
K1b Lending money to relatives .213 .148 1.000 .695
K1c Lending money to people in your own village .150 .103 1.000 .687
K1d Lending money to people outside the village .068 .030 1.000 .440
K1e Lending money to people from the same mosque/ church .088 .043 1.000 .489
K2a Lending tools like axes, hoes etc. to family members .240 .173 1.000 .720
K2b Lending tools like axes, hoes etc. to relatives outside the household .158 .070 1.000 .444
K2c Lending tools like axes, hoes etc. to people in your own village .240 .165 1.000 .690
K2d Lending tools like axes, hoes etc. to people outside the village .179 .132 1.000 .739
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church .191 .137 1.000 .718
L2 Participated in cooperative agricultural work .150 .123 1.000 .823
L3.a. Participated last 12 months in cooperative work of preparing a garden .057 .030 1.000 .519
L3.b. Participated last12 months in cooperative work of planting .057 .032 1.000 .559
L3.d. Participated last 12 months in cooperative work of weeding .035 .011 1.000 .323
L3.e. Participated last 12 months in cooperative work of harvesting .125 .086 1.000 .689
L3.f. Participated last 12 months in cooperative work of other agriculture work .035 .011 1.000 .320
L6 Participation in other exchange work than agriculture .242 .178 1.000 .736
L7 Participated in public works without payment during the last year .078 .039 1.000 .500
L8.a. Participated in school project over the last 12 months .226 .147 1.000 .649
L8.b. Participated in road project over the last 12 months .208 .157 1.000 .757
L8.c. Participated in bridge project over the last 12 months .197 .086 1.000 .436
L8.d. Participated in church project over the last 12 months .237 .160 1.000 .676
L8.g. Participated in health centre project over the last 12 months .150 .093 1.000 .619
L8.h. Participated in irrigation project over the last 12 months .098 .023 1.000 .236
L8.i. Participated in borehole project over the last 12 months .237 .167 1.000 .705
L8.k. Participated in graveyard clearing project over the last 12 months .226 .187 1.000 .825
M1 Most people can be trusted (1) or you cannot be too careful (0) .252 .189 1.000 .750
M2.d. Trust in Traditional Authorities .253 .196 1.000 .775
M2.e. Trust in group village headmen .251 .217 1.000 .864
M2.f. Trust in village headmen .253 .207 1.000 .820
M2.j. Trust in police .251 .179 1.000 .711
M2.l. Trust in teachers .251 .146 1.000 .581
M2.m.Trust in school administrators .251 .183 1.000 .730
M2.n. Trust in religious leaders .242 .155 1.000 .641
M3.a. Trust in family members .172 .106 1.000 .615
M3.b. Trust in relatives .251 .184 1.000 .732
M3.c. Trust in people in own village .222 .174 1.000 .781
M3.d. Trust in people outside the village .172 .120 1.000 .696
M3.e. Trust in people of same ethnic group .226 .176 1.000 .780
M3.f. Trust in people outside ethnic group .191 .131 1.000 .683
M3.g. Trust in people from same church/ mosque .252 .198 1.000 .787
M3.h. Trust in people not from same church/ mosque .208 .150 1.000 .722
Extraction Method: Principal Component Analysis.
Factor Analysis
Factor Analysis - Total Variance Explained - February 24, 2020
Total Variance ExplainedTotal Variance Explained, table, 2 levels of column headers and 2 levels of row headers, table with 11 columns and 89 rows
  Component Initial Eigenvaluesa Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings
  Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %
Raw 1 1.938 24.931 24.931 1.938 24.931 24.931 1.847 23.761 23.761
2 .826 10.628 35.559 .826 10.628 35.559 .468 6.021 29.782
3 .707 9.100 44.659 .707 9.100 44.659 .622 8.007 37.789
4 .568 7.306 51.965 .568 7.306 51.965 .562 7.236 45.025
5 .339 4.356 56.322 .339 4.356 56.322 .519 6.681 51.705
6 .308 3.960 60.282 .308 3.960 60.282 .417 5.371 57.077
7 .250 3.217 63.499 .250 3.217 63.499 .400 5.145 62.222
8 .238 3.064 66.562 .238 3.064 66.562 .284 3.659 65.881
9 .228 2.929 69.492 .228 2.929 69.492 .281 3.611 69.492
10 .203 2.615 72.107            
11 .194 2.500 74.607            
12 .170 2.191 76.798            
13 .167 2.152 78.950            
14 .158 2.039 80.989            
15 .152 1.960 82.949            
16 .129 1.661 84.609            
17 .126 1.625 86.235            
18 .118 1.524 87.758            
19 .102 1.307 89.065            
20 .085 1.089 90.155            
21 .080 1.029 91.184            
22 .078 1.002 92.186            
23 .070 .897 93.083            
24 .067 .862 93.945            
25 .058 .747 94.693            
26 .050 .642 95.335            
27 .047 .610 95.944            
28 .046 .589 96.534            
29 .040 .516 97.049            
30 .036 .462 97.511            
31 .034 .436 97.947            
32 .030 .388 98.335            
33 .025 .328 98.663            
34 .022 .281 98.944            
35 .019 .239 99.183            
36 .017 .215 99.398            
37 .014 .183 99.581            
38 .012 .160 99.741            
39 .010 .124 99.865            
40 .006 .076 99.941            
41 .003 .038 99.978            
42 .002 .022 100.000            
Rescaled 1 1.938 24.931 24.931 8.557 20.375 20.375 8.084 19.248 19.248
2 .826 10.628 35.559 4.656 11.086 31.461 3.613 8.602 27.850
3 .707 9.100 44.659 4.008 9.543 41.004 3.521 8.384 36.234
4 .568 7.306 51.965 2.744 6.534 47.538 2.724 6.487 42.720
5 .339 4.356 56.322 1.807 4.302 51.840 2.572 6.123 48.843
6 .308 3.960 60.282 1.877 4.469 56.310 2.241 5.336 54.179
7 .250 3.217 63.499 1.440 3.430 59.739 1.854 4.414 58.593
8 .238 3.064 66.562 1.259 2.998 62.737 1.519 3.616 62.209
9 .228 2.929 69.492 1.155 2.750 65.487 1.377 3.278 65.487
10 .203 2.615 72.107            
11 .194 2.500 74.607            
12 .170 2.191 76.798            
13 .167 2.152 78.950            
14 .158 2.039 80.989            
15 .152 1.960 82.949            
16 .129 1.661 84.609            
17 .126 1.625 86.235            
18 .118 1.524 87.758            
19 .102 1.307 89.065            
20 .085 1.089 90.155            
21 .080 1.029 91.184            
22 .078 1.002 92.186            
23 .070 .897 93.083            
24 .067 .862 93.945            
25 .058 .747 94.693            
26 .050 .642 95.335            
27 .047 .610 95.944            
28 .046 .589 96.534            
29 .040 .516 97.049            
30 .036 .462 97.511            
31 .034 .436 97.947            
32 .030 .388 98.335            
33 .025 .328 98.663            
34 .022 .281 98.944            
35 .019 .239 99.183            
36 .017 .215 99.398            
37 .014 .183 99.581            
38 .012 .160 99.741            
39 .010 .124 99.865            
40 .006 .076 99.941            
41 .003 .038 99.978            
42 .002 .022 100.000            
Extraction Method: Principal Component Analysis.
a. When analyzing a covariance matrix, the initial eigenvalues are the same across the raw and rescaled solution.
Factor Analysis
Factor Analysis - Scree Plot - February 24, 2020
Scree Plot Component Number: 42
Eigenvalue: 0.0017 Component Number: 41
Eigenvalue: 0.0029 Component Number: 40
Eigenvalue: 0.0059 Component Number: 39
Eigenvalue: 0.0096 Component Number: 38
Eigenvalue: 0.0124 Component Number: 37
Eigenvalue: 0.0142 Component Number: 36
Eigenvalue: 0.0167 Component Number: 35
Eigenvalue: 0.0185 Component Number: 34
Eigenvalue: 0.0218 Component Number: 33
Eigenvalue: 0.0255 Component Number: 32
Eigenvalue: 0.0302 Component Number: 31
Eigenvalue: 0.0339 Component Number: 30
Eigenvalue: 0.0359 Component Number: 29
Eigenvalue: 0.0401 Component Number: 28
Eigenvalue: 0.0458 Component Number: 27
Eigenvalue: 0.0474 Component Number: 26
Eigenvalue: 0.0499 Component Number: 25
Eigenvalue: 0.0581 Component Number: 24
Eigenvalue: 0.0670 Component Number: 23
Eigenvalue: 0.0697 Component Number: 22
Eigenvalue: 0.0779 Component Number: 21
Eigenvalue: 0.0800 Component Number: 20
Eigenvalue: 0.0847 Component Number: 19
Eigenvalue: 0.1016 Component Number: 18
Eigenvalue: 0.1184 Component Number: 17
Eigenvalue: 0.1263 Component Number: 16
Eigenvalue: 0.1291 Component Number: 15
Eigenvalue: 0.1523 Component Number: 14
Eigenvalue: 0.1584 Component Number: 13
Eigenvalue: 0.1673 Component Number: 12
Eigenvalue: 0.1703 Component Number: 11
Eigenvalue: 0.1943 Component Number: 10
Eigenvalue: 0.2033 Component Number: 9
Eigenvalue: 0.2277 Component Number: 8
Eigenvalue: 0.2381 Component Number: 7
Eigenvalue: 0.2500 Component Number: 6
Eigenvalue: 0.3078 Component Number: 5
Eigenvalue: 0.3386 Component Number: 4
Eigenvalue: 0.5678 Component Number: 3
Eigenvalue: 0.7072 Component Number: 2
Eigenvalue: 0.8260 Component Number: 1
Eigenvalue: 1.9376 Component Number: 41
Eigenvalue: 0.0029 Component Number: 40
Eigenvalue: 0.0059 Component Number: 39
Eigenvalue: 0.0096 Component Number: 38
Eigenvalue: 0.0124 Component Number: 37
Eigenvalue: 0.0142 Component Number: 36
Eigenvalue: 0.0167 Component Number: 35
Eigenvalue: 0.0185 Component Number: 34
Eigenvalue: 0.0218 Component Number: 33
Eigenvalue: 0.0255 Component Number: 32
Eigenvalue: 0.0302 Component Number: 31
Eigenvalue: 0.0339 Component Number: 30
Eigenvalue: 0.0359 Component Number: 29
Eigenvalue: 0.0401 Component Number: 28
Eigenvalue: 0.0458 Component Number: 27
Eigenvalue: 0.0474 Component Number: 26
Eigenvalue: 0.0499 Component Number: 25
Eigenvalue: 0.0581 Component Number: 24
Eigenvalue: 0.0670 Component Number: 23
Eigenvalue: 0.0697 Component Number: 22
Eigenvalue: 0.0779 Component Number: 21
Eigenvalue: 0.0800 Component Number: 20
Eigenvalue: 0.0847 Component Number: 19
Eigenvalue: 0.1016 Component Number: 18
Eigenvalue: 0.1184 Component Number: 17
Eigenvalue: 0.1263 Component Number: 16
Eigenvalue: 0.1291 Component Number: 15
Eigenvalue: 0.1523 Component Number: 14
Eigenvalue: 0.1584 Component Number: 13
Eigenvalue: 0.1673 Component Number: 12
Eigenvalue: 0.1703 Component Number: 11
Eigenvalue: 0.1943 Component Number: 10
Eigenvalue: 0.2033 Component Number: 9
Eigenvalue: 0.2277 Component Number: 8
Eigenvalue: 0.2381 Component Number: 7
Eigenvalue: 0.2500 Component Number: 6
Eigenvalue: 0.3078 Component Number: 5
Eigenvalue: 0.3386 Component Number: 4
Eigenvalue: 0.5678 Component Number: 3
Eigenvalue: 0.7072 Component Number: 2
Eigenvalue: 0.8260 Component Number: 1
Eigenvalue: 1.9376 0.0 0.5 1.0 1.5 2.0 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41

{"copyright":"(C) Copyright IBM Corp. 2011","grammar":[{"elements":[{"data":{"$ref":"dSource"},"style":{"outline":{"r":0,"b":0,"g":0},"fill":{"r":0,"b":157,"g":100},"stroke":{"width":3.3333333}},"position":[{"field":{"$ref":"fVariable1"}},{"field":{"$ref":"fVariable"}}],"type":"line"},{"data":{"$ref":"dSource"},"style":{"symbol":"circle","outline":{"r":0,"b":157,"g":100},"size":6.6666665,"fill":{"r":119,"b":119,"g":118}},"position":[{"field":{"$ref":"fVariable1"}},{"field":{"$ref":"fVariable"}}],"type":"point"}],"coordinates":{"style":{"outline":{"r":0,"b":157,"g":100},"fill":{"r":255,"b":255,"g":255}},"dimensions":[{"scale":{"padding":{"left":"5%","right":"5%"}},"axis":[{"tickStyle":{"padding":5.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"8pt","weight":"normal","family":"sans-serif"}},"gridStyle":{"fill":{"r":0,"b":157,"g":100}},"lineStyle":{"fill":{"r":0,"b":157,"g":100},"stroke":{"width":0.6666667}},"titleStyle":{"padding":6.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"title":["Eigenvalue"],"markStyle":{"fill":{"a":0,"r":0,"b":157,"g":100},"stroke":{"width":1.3333334}}}]},{"scale":{"padding":{"left":"5%","right":"5%"}},"axis":[{"tickStyle":{"padding":5.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"normal","family":"sans-serif"}},"lineStyle":{"fill":{"r":0,"b":157,"g":100},"stroke":{"width":0.6666667}},"titleStyle":{"padding":6.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"title":["Component Number"],"markStyle":{"fill":{"a":0,"r":0,"b":157,"g":100},"stroke":{"width":1.3333334}}}]}]}}],"data":[{"id":"dSource","fields":[{"id":"fVariable","label":"Component Number","categories":[]},{"min":0.001677491528763519,"max":1.937555266464152,"id":"fVariable1","label":"Eigenvalue"}],"rows":[[0,1.937555266464152],[1,0.8260080781126081],[2,0.707197901906688],[3,0.56782089665148],[4,0.3385633736573028],[5,0.3077706995880015],[6,0.2499997556121852],[7,0.2381022791669802],[8,0.2276570780243485],[9,0.2032575179918405],[10,0.1942687379177338],[11,0.1702688563699864],[12,0.1672649781504041],[13,0.1584316303802086],[14,0.1523230900780268],[15,0.1290703395120652],[16,0.1263116691747557],[17,0.1184297537262907],[18,0.1015661057295198],[19,0.08466628010808373],[20,0.08000365044755499],[21,0.0778651769761697],[22,0.06971468733090842],[23,0.06699773635391729],[24,0.0580875306027152],[25,0.04989300264013925],[26,0.04738684438515785],[27,0.04578825510455232],[28,0.0400870469903253],[29,0.03588294103794551],[30,0.03389052345670048],[31,0.03016420899199897],[32,0.02548018759617216],[33,0.02183044441473938],[34,0.0185494432357715],[35,0.01672447615605543],[36,0.01421473384038676],[37,0.01244230636268238],[38,0.009611664063728213],[39,0.005905442335548002],[40,0.002939971895344102],[41,0.001677491528763519]]}],"size":{"width":850.0,"height":500.0},"style":{"outline":{"a":0.0,"r":0,"b":0,"g":0},"fill":{"r":255,"b":255,"g":255}},"titles":[{"backgroundStyle":{"outline":{"a":0.0,"r":0,"b":0,"g":0},"fill":{"a":0.0,"r":0,"b":0,"g":0}},"style":{"padding":3.0,"fill":{"r":0,"b":157,"g":100},"font":{"size":"12pt","weight":"bold","family":"sans-serif"}},"type":"title","content":["Scree Plot"]}],"version":"6.0"}

Factor Analysis
Factor Analysis - Component Matrix - February 24, 2020
Component MatrixaComponent Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 19 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9
K1a Lending money to family members -.087 .270 -.113 .166 -.027 .058 .038 -.163 -.054 -.201 .628 -.262 .386 -.063 .135 .089 -.379 -.125
K1b Lending money to relatives -.032 .259 -.150 .188 -.021 .030 .039 -.100 .097 -.069 .560 -.326 .408 -.046 .065 .085 -.216 .210
K1c Lending money to people in your own village .023 .237 -.068 .130 .094 .054 .058 .036 .092 .059 .612 -.177 .335 .243 .140 .149 .092 .238
K1d Lending money to people outside the village .012 .139 -.027 .051 .027 .071 .017 .031 -.009 .048 .532 -.104 .197 .104 .272 .067 .119 -.033
K1e Lending money to people from the same mosque/ church -.028 .150 -.066 .098 .038 .001 .054 .014 -.036 -.095 .506 -.222 .329 .127 .004 .183 .047 -.123
K2a Lending tools like axes, hoes etc. to family members -.206 .237 -.042 -.116 -.117 -.073 -.116 -.143 -.076 -.421 .483 -.087 -.237 -.239 -.149 -.237 -.292 -.155
K2b Lending tools like axes, hoes etc. to relatives outside the household -.108 .180 -.044 -.033 -.062 -.116 .008 .052 .054 -.272 .453 -.110 -.083 -.157 -.291 .021 .130 .135
K2c Lending tools like axes, hoes etc. to people in your own village -.178 .304 .030 .017 -.019 -.028 -.101 .166 .038 -.364 .620 .061 .034 -.039 -.056 -.206 .339 .077
K2d Lending tools like axes, hoes etc. to people outside the village -.093 .208 -.018 .057 -.005 .090 -.151 .185 -.106 -.221 .492 -.043 .135 -.012 .214 -.358 .437 -.252
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.134 .257 -.052 .014 -.018 .050 -.066 .101 -.183 -.306 .587 -.118 .032 -.040 .115 -.152 .230 -.417
L2 Participated in cooperative agricultural work .019 .091 .234 .107 -.075 .171 .051 -.084 .063 .050 .235 .605 .278 -.193 .441 .132 -.217 .162
L3.a. Participated last 12 months in cooperative work of preparing a garden .056 .086 .065 .011 -.021 .093 .053 .022 .049 .233 .357 .273 .046 -.088 .390 .222 .092 .206
L3.b. Participated last12 months in cooperative work of planting .029 .087 .103 .034 -.044 .072 .067 .014 -.007 .122 .363 .429 .140 -.185 .301 .280 .060 -.031
L3.d. Participated last 12 months in cooperative work of weeding .018 .060 .047 .003 -.033 .057 .027 .010 -.005 .096 .319 .253 .018 -.175 .305 .144 .053 -.024
L3.e. Participated last 12 months in cooperative work of harvesting .001 .024 .205 .102 -.040 .156 .016 -.067 .051 .002 .069 .579 .289 -.113 .440 .044 -.190 .145
L3.f. Participated last 12 months in cooperative work of other agriculture work .037 .035 .070 .018 -.035 .011 .041 .004 .024 .194 .187 .370 .094 -.186 .056 .217 .022 .128
L6 Participation in other exchange work than agriculture -.037 .241 .095 .007 -.137 -.230 .109 .050 .154 -.074 .489 .193 .014 -.279 -.467 .221 .101 .313
L7 Participated in public works without payment during the last year -.006 .033 .102 -.042 .139 -.037 .045 .044 .034 -.021 .119 .363 -.149 .498 -.131 .163 .159 .123
L8.a. Participated in school project over the last 12 months .087 -.014 .303 .144 .095 -.056 -.097 .049 -.050 .182 -.029 .638 .303 .199 -.117 -.204 .103 -.106
L8.b. Participated in road project over the last 12 months .004 .196 .173 -.194 .168 -.115 .062 -.068 -.039 .009 .430 .379 -.426 .368 -.251 .136 -.149 -.087
L8.c. Participated in bridge project over the last 12 months -.112 .027 .186 -.137 .067 .030 -.033 -.073 -.086 -.252 .061 .419 -.308 .152 .068 -.075 -.165 -.194
L8.d. Participated in church project over the last 12 months -.029 .010 .264 .234 .065 .003 .138 .049 -.095 -.059 .021 .542 .481 .133 .006 .284 .101 -.195
L8.g. Participated in health centre project over the last 12 months -.113 -.037 .187 -.001 .007 -.059 -.174 -.078 .060 -.293 -.096 .484 -.002 .018 -.151 -.448 -.202 .155
L8.h. Participated in irrigation project over the last 12 months -.006 .013 .082 .082 .061 .003 -.051 .036 .042 -.019 .042 .263 .262 .196 .010 -.164 .115 .135
L8.i. Participated in borehole project over the last 12 months .036 .014 .363 .112 .006 -.108 -.094 -.007 -.025 .075 .028 .745 .230 .012 -.222 -.194 -.013 -.051
L8.k. Participated in graveyard clearing project over the last 12 months .006 .251 .124 -.219 .231 .008 .009 -.063 .056 .013 .527 .261 -.460 .485 .017 .020 -.132 .119
M1 Most people can be trusted (1) or you cannot be too careful (0) .267 .164 .024 -.205 -.136 .020 -.117 .010 .125 .531 .327 .048 -.409 -.270 .041 -.234 .020 .249
M2.d. Trust in Traditional Authorities .350 .117 -.103 .157 .136 -.066 -.017 -.035 .020 .695 .233 -.205 .312 .271 -.131 -.035 -.069 .040
M2.e. Trust in group village headmen .370 .009 -.160 .152 .122 -.112 -.037 .028 -.043 .738 .018 -.319 .304 .244 -.224 -.075 .055 -.085
M2.f. Trust in village headmen .361 .041 -.165 .147 .111 -.096 -.055 -.046 .002 .718 .081 -.328 .292 .221 -.191 -.110 -.091 .003
M2.j. Trust in police .394 -.045 .003 .025 .091 .005 -.089 -.008 .069 .785 -.090 .006 .050 .182 .011 -.177 -.017 .138
M2.l. Trust in teachers .328 .036 -.033 -.109 .084 .109 .046 .036 .043 .655 .072 -.066 -.218 .167 .217 .092 .072 .085
M2.m.Trust in school administrators .307 .090 .057 -.204 .041 .059 .135 -.013 -.112 .613 .179 .113 -.407 .082 .118 .269 -.026 -.223
M2.n. Trust in religious leaders .241 .118 -.100 -.238 .056 .099 -.028 .035 -.041 .490 .240 -.204 -.482 .114 .201 -.058 .071 -.083
M3.a. Trust in family members .148 .009 .037 -.050 -.089 -.124 .183 .138 -.065 .356 .022 .088 -.120 -.214 -.299 .441 .334 -.157
M3.b. Trust in relatives .312 .118 .048 -.009 -.163 -.124 .044 -.086 -.136 .623 .235 .095 -.017 -.326 -.248 .087 -.172 -.272
M3.c. Trust in people in own village .388 .080 .078 -.022 -.070 -.029 -.028 -.016 .055 .824 .169 .166 -.047 -.148 -.062 -.060 -.033 .116
M3.d. Trust in people outside the village .302 -.002 .063 -.026 -.089 .047 -.011 .105 .048 .730 -.005 .153 -.063 -.214 .113 -.026 .253 .116
M3.e. Trust in people of same ethnic group .383 -.094 .019 .003 -.074 -.089 -.017 -.052 -.064 .805 -.198 .039 .007 -.155 -.188 -.036 -.108 -.135
M3.f. Trust in people outside ethnic group .339 -.012 .065 -.007 -.057 .066 -.030 .000 .051 .776 -.026 .148 -.016 -.131 .150 -.069 .000 .117
M3.g. Trust in people from same church/ mosque .380 .087 .028 .082 -.105 .083 -.049 -.074 -.114 .757 .174 .055 .164 -.210 .166 -.098 -.147 -.226
M3.h. Trust in people not from same church/ mosque .359 -.042 .063 .022 -.057 .058 -.016 .091 .010 .787 -.091 .137 .049 -.126 .127 -.035 .200 .023
Extraction Method: Principal Component Analysis.
a. 9 components extracted.
Factor Analysis
Factor Analysis - Rotated Component Matrix - February 24, 2020
Rotated Component MatrixaRotated Component Matrix, table, 3 levels of column headers and 1 levels of row headers, table with 19 columns and 48 rows
  Raw Rescaled
Component Component
1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9
K1a Lending money to family members -.074 .077 .330 -.038 -.020 .064 .016 -.052 .164 -.172 .180 .766 -.089 -.046 .150 .038 -.120 .380
K1b Lending money to relatives -.014 .060 .347 -.051 -.058 .021 .101 -.080 .033 -.030 .130 .751 -.110 -.126 .046 .218 -.173 .072
K1c Lending money to people in your own village .032 .069 .277 -.004 .043 .070 .058 -.013 -.101 .081 .178 .716 -.011 .112 .182 .150 -.033 -.260
K1d Lending money to people outside the village .019 .063 .127 -.017 .022 .091 -.003 .005 -.021 .075 .241 .486 -.064 .085 .348 -.013 .020 -.082
K1e Lending money to people from the same mosque/ church -.026 .010 .186 .003 .008 .070 .019 .050 .010 -.088 .032 .625 .009 .028 .235 .063 .168 .033
K2a Lending tools like axes, hoes etc. to family members -.152 -.026 .050 -.087 .086 .144 .155 -.127 .265 -.310 -.054 .103 -.177 .176 .294 .316 -.259 .542
K2b Lending tools like axes, hoes etc. to relatives outside the household -.078 -.024 .073 -.040 .035 .089 .216 .010 .023 -.196 -.061 .184 -.100 .087 .224 .544 .024 .059
K2c Lending tools like axes, hoes etc. to people in your own village -.115 .042 .106 .046 .063 .290 .212 -.053 -.036 -.235 .085 .217 .093 .128 .593 .432 -.108 -.074
K2d Lending tools like axes, hoes etc. to people outside the village -.039 .024 .078 .036 -.017 .348 .011 -.026 -.015 -.092 .058 .185 .085 -.039 .824 .027 -.061 -.035
K2e Lending tools like axes, hoes etc. to people from the same mosque/ church -.093 .014 .123 -.021 .038 .317 .017 .037 .097 -.213 .033 .282 -.049 .088 .724 .039 .084 .221
L2 Participated in cooperative agricultural work .005 .323 .038 .107 .004 -.031 -.013 -.067 .027 .014 .834 .099 .277 .011 -.079 -.034 -.172 .069
L3.a. Participated last 12 months in cooperative work of preparing a garden .050 .150 .037 -.011 .028 .020 .016 .005 -.042 .208 .628 .155 -.046 .116 .083 .067 .019 -.174
L3.b. Participated last12 months in cooperative work of planting .020 .163 .030 .030 .020 .029 .013 .042 .010 .081 .681 .123 .125 .084 .123 .054 .175 .042
L3.d. Participated last 12 months in cooperative work of weeding .016 .097 .014 -.004 .013 .033 .006 .012 .008 .085 .516 .073 -.023 .069 .177 .031 .065 .044
L3.e. Participated last 12 months in cooperative work of harvesting -.012 .252 .005 .115 -.012 -.033 -.050 -.077 .002 -.033 .711 .015 .324 -.034 -.094 -.141 -.218 .007
L3.f. Participated last 12 months in cooperative work of other agriculture work .030 .087 .003 .028 .008 -.015 .036 .023 .000 .161 .462 .015 .150 .040 -.077 .190 .121 -.002
L6 Participation in other exchange work than agriculture -.019 .083 .079 .052 .055 -.010 .391 .075 .026 -.038 .169 .161 .106 .112 -.021 .794 .153 .052
L7 Participated in public works without payment during the last year -.016 .007 -.003 .075 .154 -.013 .015 .033 -.088 -.057 .025 -.012 .268 .553 -.045 .055 .117 -.316
L8.a. Participated in school project over the last 12 months .090 .071 -.058 .353 .057 .029 -.034 .003 -.015 .190 .148 -.122 .743 .120 .061 -.072 .006 -.031
L8.b. Participated in road project over the last 12 months .001 .020 .006 .051 .375 .005 .083 .039 .071 .002 .045 .013 .112 .823 .012 .182 .086 .156
L8.c. Participated in bridge project over the last 12 months -.111 .065 -.113 .062 .196 .036 -.052 -.047 .091 -.251 .145 -.253 .139 .441 .082 -.117 -.105 .205
L8.d. Participated in church project over the last 12 months -.070 .172 .065 .300 .007 -.019 -.065 .162 -.017 -.144 .354 .134 .617 .014 -.038 -.133 .334 -.034
L8.g. Participated in health centre project over the last 12 months -.083 .005 -.117 .178 .042 -.014 .051 -.184 .049 -.214 .012 -.301 .459 .110 -.037 .133 -.474 .126
L8.h. Participated in irrigation project over the last 12 months .002 .023 .021 .124 .007 .022 .000 -.045 -.065 .008 .073 .068 .396 .024 .071 .001 -.142 -.209
L8.i. Participated in borehole project over the last 12 months .046 .113 -.098 .361 .063 -.001 .060 -.021 .064 .095 .232 -.201 .742 .129 -.002 .124 -.043 .132
L8.k. Participated in graveyard clearing project over the last 12 months .018 .055 .058 -.021 .409 .048 .052 -.080 -.026 .037 .115 .123 -.043 .860 .101 .110 -.169 -.054
M1 Most people can be trusted (1) or you cannot be too careful (0) .310 .096 -.088 -.142 .087 .071 .173 -.112 .026 .618 .192 -.176 -.282 .174 .141 .344 -.223 .053
M2.d. Trust in Traditional Authorities .351 -.078 .242 .063 .019 -.043 -.023 .022 -.032 .697 -.156 .482 .126 .039 -.086 -.047 .043 -.065
M2.e. Trust in group village headmen .368 -.180 .172 .059 -.051 -.035 -.060 .084 -.040 .734 -.359 .344 .118 -.101 -.069 -.120 .168 -.080
M2.f. Trust in village headmen .365 -.157 .202 .037 -.038 -.065 -.043 .013 -.011 .725 -.311 .402 .073 -.076 -.128 -.085 .027 -.022
M2.j. Trust in police .394 -.031 .003 .048 .019 -.079 -.069 -.046 -.084 .785 -.062 .006 .095 .038 -.157 -.138 -.091 -.167
M2.l. Trust in teachers .311 .057 .009 -.120 .111 -.022 -.077 .037 -.106 .621 .114 .017 -.239 .221 -.045 -.153 .073 -.212
M2.m.Trust in school administrators .274 .105 -.042 -.122 .218 -.010 -.070 .159 .054 .546 .209 -.084 -.243 .436 -.020 -.140 .318 .107
M2.n. Trust in religious leaders .253 -.008 -.020 -.219 .171 .106 -.051 .006 -.013 .514 -.015 -.041 -.444 .347 .215 -.103 .012 -.026
M3.a. Trust in family members .117 .027 -.059 -.016 .009 -.017 .106 .276 -.001 .282 .064 -.143 -.038 .021 -.042 .256 .665 -.003
M3.b. Trust in relatives .307 .057 .016 .012 .009 -.027 .086 .140 .241 .612 .115 .032 .023 .018 -.053 .171 .279 .482
M3.c. Trust in people in own village .393 .093 -.015 .019 .033 -.044 .075 .011 .029 .834 .198 -.033 .041 .069 -.093 .159 .023 .061
M3.d. Trust in people outside the village .302 .108 -.086 -.011 -.038 .014 .029 .050 -.067 .728 .260 -.207 -.026 -.092 .033 .071 .120 -.161
M3.e. Trust in people of same ethnic group .368 -.031 -.077 .034 -.052 -.116 -.030 .085 .096 .773 -.066 -.162 .071 -.109 -.243 -.064 .178 .201
M3.f. Trust in people outside ethnic group .335 .110 -.051 .000 -.020 -.048 -.022 -.010 -.023 .766 .252 -.118 .000 -.045 -.110 -.050 -.022 -.052
M3.g. Trust in people from same church/ mosque .381 .126 .060 .018 -.060 .029 -.082 .025 .148 .758 .252 .119 .036 -.119 .058 -.164 .050 .294
M3.h. Trust in people not from same church/ mosque .350 .093 -.071 .027 -.059 -.006 -.039 .065 -.063 .767 .204 -.155 .059 -.129 -.014 -.085 .143 -.139
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.a
a. Rotation converged in 9 iterations.
Factor Analysis
Factor Analysis - Component Transformation Matrix - February 24, 2020
Component Transformation MatrixComponent Transformation Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 10 columns and 12 rows
Component 1 2 3 4 5 6 7 8 9
1 .971 .061 .009 -.015 .019 -.151 -.093 .145 -.023
2 .095 .268 .576 -.073 .380 .476 .414 -.053 .191
3 -.028 .547 -.401 .652 .323 -.055 .069 .003 .054
4 -.016 .086 .563 .570 -.574 -.053 -.114 .030 -.063
5 -.040 -.355 .290 .246 .608 -.064 -.419 -.057 -.420
6 -.030 .598 .036 -.332 -.096 .227 -.596 -.260 -.216
7 -.206 .328 .228 -.241 .125 -.453 .026 .711 -.114
8 .038 -.056 -.223 .069 -.158 .573 .174 .419 -.618
9 .031 .155 .060 -.105 -.044 -.394 .491 -.473 -.582
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Factor Analysis
Factor Analysis - Component Plot of Factors 1, 2, 3 - February 24, 2020
Component Plot of Factors 1, 2, 3 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 -1.0 -0.5 0.0 0.5 1.0 Component 1: 0.6969
Component 2: -0.1558
Component 3: 0.4820 Component 1: 0.7250
Component 2: -0.3115
Component 3: 0.4015 Component 1: 0.0814
Component 2: 0.1782
Component 3: 0.7157 Component 1: 0.7341
Component 2: -0.3593
Component 3: 0.3439 Component 1: -0.0298
Component 2: 0.1303
Component 3: 0.7513 Component 1: 0.7583
Component 2: 0.2515
Component 3: 0.1194 Component 1: -0.1725
Component 2: 0.1798
Component 3: 0.7663 Component 1: 0.8345
Component 2: 0.1980
Component 3: -0.0325 Component 1: 0.0746
Component 2: 0.2413
Component 3: 0.4864 Component 1: -0.0877
Component 2: 0.0321
Component 3: 0.6249 Component 1: 0.7852
Component 2: -0.0622
Component 3: 0.0062 Component 1: 0.6125
Component 2: 0.1146
Component 3: 0.0317 Component 1: 0.6214
Component 2: 0.1143
Component 3: 0.0172 Component 1: 0.7656
Component 2: 0.2518
Component 3: -0.1177 Component 1: 0.2081
Component 2: 0.6276
Component 3: 0.1554 Component 1: 0.7673
Component 2: 0.2045
Component 3: -0.1554 Component 1: 0.7726
Component 2: -0.0657
Component 3: -0.1624 Component 1: 0.7285
Component 2: 0.2600
Component 3: -0.2066 Component 1: 0.5457
Component 2: 0.2089
Component 3: -0.0839 Component 1: 0.0815
Component 2: 0.6810
Component 3: 0.1234 Component 1: 0.5135
Component 2: -0.0152
Component 3: -0.0407 Component 1: 0.6177
Component 2: 0.1920
Component 3: -0.1757 Component 1: 0.0138
Component 2: 0.8335
Component 3: 0.0986 Component 1: 0.0853
Component 2: 0.5160
Component 3: 0.0730 Component 1: 0.1606
Component 2: 0.4619
Component 3: 0.0146 Component 1: 0.0371
Component 2: 0.1154
Component 3: 0.1226 Component 1: -0.0381
Component 2: 0.1685
Component 3: 0.1609 Component 1: -0.0329
Component 2: 0.7109
Component 3: 0.0154 Component 1: -0.2129
Component 2: 0.0325
Component 3: 0.2823 Component 1: -0.0920
Component 2: 0.0578
Component 3: 0.1849 Component 1: -0.1441
Component 2: 0.3539
Component 3: 0.1343 Component 1: 0.0079
Component 2: 0.0735
Component 3: 0.0684 Component 1: -0.2353
Component 2: 0.0853
Component 3: 0.2171 Component 1: 0.2822
Component 2: 0.0643
Component 3: -0.1433 Component 1: 0.1897
Component 2: 0.1484
Component 3: -0.1224 Component 1: -0.1962
Component 2: -0.0608
Component 3: 0.1840 Component 1: 0.0020
Component 2: 0.0447
Component 3: 0.0131 Component 1: -0.0569
Component 2: 0.0253
Component 3: -0.0123 Component 1: 0.0948
Component 2: 0.2316
Component 3: -0.2010 Component 1: -0.3102
Component 2: -0.0540
Component 3: 0.1026 Component 1: -0.2510
Component 2: 0.1453
Component 3: -0.2535 Component 1: -0.2140
Component 2: 0.0124
Component 3: -0.3011

Log
Log - Log - February 24, 2020

FILTER OFF.
USE ALL.
EXECUTE.
DATASET ACTIVATE DataSet1.

SAVE OUTFILE='E:\Arkiv\1 MLTSC\04 MLTSC papers and report\Berge2009 Trust games\Data SPSS '+
    'files\MLTSC Trust data K-M78vars+BIN.sav'
  /COMPRESSED.
DATASET ACTIVATE DataSet1.

SAVE OUTFILE='E:\Arkiv\1 MLTSC\04 MLTSC papers and report\Berge2009 Trust games\Data SPSS '+
    'files\MLTSC Trust data K-M78vars+BIN.sav'
  /COMPRESSED.
COMPUTE TrustingPeople=FAC5_1 + FAC2_2 + FAC1_3.
EXECUTE.
RECODE FAC1_1 FAC2_1 FAC3_1 FAC4_1 FAC5_1 FAC6_1 FAC7_1 FAC8_1 FAC9_1 FAC1_2 FAC2_2 FAC3_2 FAC4_2
    FAC5_2 FAC6_2 FAC7_2 FAC8_2 FAC1_3 FAC2_3 FAC3_3 FAC4_3 FAC5_3 FAC6_3 FAC7_3 FAC8_3 FAC9_3
    (SYSMIS=0).
EXECUTE.
COMPUTE TrustingPeople=FAC5_1 + FAC2_2 + FAC1_3.
EXECUTE.
CORRELATIONS
  /VARIABLES=TrustingPeople FAC1Malawi FAC2Malawi FAC3Malawi FAC4Malawi FAC5Malawi FAC6Malawi
    FAC7Malawi FAC8Malawi FAC9Malawi
  /PRINT=TWOTAIL NOSIG
  /MISSING=LISTWISE.

Correlations
Correlations - Correlations - February 24, 2020
CorrelationsbCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 12 columns and 24 rows
  TrustingPeople Trust in people outside the family Participation in cooperative work Participation in public works Trusting people with money Trust in traditional authorities Trusting people with tools Trust in modern authorities Trust in family members and kin Participation in traditional public work
TrustingPeople Pearson Correlation 1 .884** -.057 -.018 -.010 .199** -.022 .111 .040 .023
Sig. (2-tailed)   .000 .393 .788 .877 .003 .742 .096 .552 .737
Trust in people outside the family Pearson Correlation .884** 1 .000 .000 .000 .000 .000 .000 .000 .000
Sig. (2-tailed) .000   1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000
Participation in cooperative work Pearson Correlation -.057 .000 1 .000 .000 .000 .000 .000 .000 .000
Sig. (2-tailed) .393 1.000   1.000 1.000 1.000 1.000 1.000 1.000 1.000
Participation in public works Pearson Correlation -.018 .000 .000 1 .000 .000 .000 .000 .000 .000
Sig. (2-tailed) .788 1.000 1.000   1.000 1.000 1.000 1.000 1.000 1.000
Trusting people with money Pearson Correlation -.010 .000 .000 .000 1 .000 .000 .000 .000 .000
Sig. (2-tailed) .877 1.000 1.000 1.000   1.000 1.000 1.000 1.000 1.000
Trust in traditional authorities Pearson Correlation .199** .000 .000 .000 .000 1 .000 .000 .000 .000
Sig. (2-tailed) .003 1.000 1.000 1.000 1.000   1.000 1.000 1.000 1.000
Trusting people with tools Pearson Correlation -.022 .000 .000 .000 .000 .000 1 .000 .000 .000
Sig. (2-tailed) .742 1.000 1.000 1.000 1.000 1.000   1.000 1.000 1.000
Trust in modern authorities Pearson Correlation .111 .000 .000 .000 .000 .000 .000 1 .000 .000
Sig. (2-tailed) .096 1.000 1.000 1.000 1.000 1.000 1.000   1.000 1.000
Trust in family members and kin Pearson Correlation .040 .000 .000 .000 .000 .000 .000 .000 1 .000
Sig. (2-tailed) .552 1.000 1.000 1.000 1.000 1.000 1.000 1.000   1.000
Participation in traditional public work Pearson Correlation .023 .000 .000 .000 .000 .000 .000 .000 .000 1
Sig. (2-tailed) .737 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000  
**. Correlation is significant at the 0.01 level (2-tailed).
b. Listwise N=224