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GET FILE='C:\Users\JAYANT\Downloads\spss factor.sav'. DATASET NAME DataSet0 WINDOW=FRONT. FACTOR /VARIABLES holding secondary_occupation debt_income_ratio heads_education family_size income_level land_quality financial_assets f arm_output /MISSING LISTWISE /ANALYSIS holding secondary_occupation debt_income_ratio heads_education family_size income_level land_quality financial_assets fa rm_output /PRINT UNIVARIATE INITIAL CORRELATION SIG KMO EXTRACTION /PLOT EIGEN /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /ROTATION NOROTATE /SAVE REG(ALL) /METHOD=CORRELATION. - - - - - - - - - - - - - - - - - - - - - - - - F A C T O R A N A L Y S I S - - - - - - - - - - - - - - - - - - - - - - - - Factor Analysis [DataSet1] C:\Users\JAYANT\Downloads\spss factor.sav Analysis N Std. Deviation Mean holding secondary_occupation debt_income_ratio heads_education family_size income_level land_quality financial_assets farm_output 38 .92998 4.0000 38 .58914 4.6316 38 .92114 2.5526 38 .55173 4.4211 38 .67521 2.2368 38 .79472 2.7368 38 .55687 4.4737 38 .71212 4.0789 38 .88612 3.8421 Descriptive Statistics Page 1

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  • GET FILE='C:\Users\JAYANT\Downloads\spss factor.sav'. DATASET NAME DataSet0 WINDOW=FRONT. FACTOR /VARIABLES holding secondary_occupation debt_income_ratio heads_education family_size income_level land_quality financial_assets f arm_output /MISSING LISTWISE /ANALYSIS holding secondary_occupation debt_income_ratio heads_education family_size income_level land_quality financial_assets fa rm_output /PRINT UNIVARIATE INITIAL CORRELATION SIG KMO EXTRACTION /PLOT EIGEN /CRITERIA MINEIGEN(1) ITERATE(25) /EXTRACTION PC /ROTATION NOROTATE /SAVE REG(ALL) /METHOD=CORRELATION. - - - - - - - - - - - - - - - - - - - - - - - - F A C T O R A N A L Y S I S - - - - - - - - - - - - - - - - - - - - - - - -

    Factor Analysis

    [DataSet1] C:\Users\JAYANT\Downloads\spss factor.sav

    Analysis NStd. DeviationMeanholdingsecondary_occupationdebt_income_ratioheads_educationfamily_sizeincome_levelland_qualityfinancial_assetsfarm_output 38.929984.0000

    38.589144.631638.921142.552638.551734.421138.675212.236838.794722.736838.556874.473738.712124.078938.886123.8421

    Descriptive Statistics

    Page 1

  • family_sizeheads_

    educationdebt_

    income_ratiosecondary_occupationholding

    holdingsecondary_occupationdebt_income_ratioheads_educationfamily_sizeincome_levelland_qualityfinancial_assetsfarm_outputholdingsecondary_occupationdebt_income_ratioheads_educationfamily_sizeincome_levelland_qualityfinancial_assetsfarm_output

    Correlation

    Sig. (1-tailed)

    .000.093.266.232.216

    .000.281.378.335.404

    .001.158.383.205.475

    .366.469.100.237.438.079.165.104.257

    .079.158.305.359

    .165.158.146.392

    .104.305.146.263

    .257.359.392.263-.775.219.104.122.131-.522-.097.052.071.041.479.167-.050.138.010

    -.057.013.213.119-.0261.000-.233-.163-.209.109-.2331.000.167.085-.061-.163.1671.000.176.046-.209.085.1761.000.106.109-.061.046.1061.000

    Correlation Matrix

    farm_outputfinancial_

    assetsland_qualityincome_levelholdingsecondary_occupationdebt_income_ratioheads_educationfamily_sizeincome_levelland_qualityfinancial_assetsfarm_outputholdingsecondary_occupationdebt_income_ratioheads_educationfamily_sizeincome_levelland_qualityfinancial_assetsfarm_output

    Correlation

    Sig. (1-tailed)

    .001.000.102.001.000.001.000.000.059.102.001.059.000.000.001.366.093.281.158.469.266.378.383.100.232.335.205.237.216.404.475.438

    1.000.493-.536.211.4931.000-.561.490

    -.536-.5611.000-.257.211.490-.2571.000

    -.775-.522.479-.057.219-.097.167.013.104.052-.050.213.122.071.138.119.131.041.010-.026

    Correlation Matrix

    Page 2

  • Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

    Approx. Chi-SquaredfSig.

    Bartlett's Test of Sphericity

    .00036

    98.589

    .530

    KMO and Bartlett's Test

    ExtractionInitialholdingsecondary_occupationdebt_income_ratioheads_educationfamily_sizeincome_levelland_qualityfinancial_assetsfarm_output .8451.000

    .7551.000

    .7381.000

    .7861.000

    .8661.000

    .6751.000

    .5271.000

    .5311.000

    .8431.000

    Communalities

    Extraction Method: Principal Component Analysis.

    Cumulative %% of VarianceTotal Cumulative %% of VarianceTotalExtraction Sums of Squared LoadingsInitial Eigenvalues

    123456789 100.0001.427.128

    98.5733.515.31695.0584.128.37290.9308.415.75782.5159.549.859

    72.96611.7821.06072.96611.7821.06061.18413.2481.19261.18413.2481.19247.93615.8621.42847.93615.8621.42832.07432.0742.88732.07432.0742.887

    ComponentComponent

    Total Variance Explained

    Extraction Method: Principal Component Analysis.

    Page 3

  • Component Number987654321

    Eige

    nval

    ue

    3.0

    2.5

    2.0

    1.5

    1.0

    0.5

    0.0

    Scree Plot

    4321Component

    holdingsecondary_occupationdebt_income_ratioheads_educationfamily_sizeincome_levelland_qualityfinancial_assetsfarm_output .238-.236.120.848

    -.054.200-.283.795-.013.076.444-.732-.447.603-.078.465-.082.376-.204-.823-.164-.360.709.126-.271.379.502.240.187.366.573.182.811.423.069.030

    Component Matrixa

    Extraction Method: Principal Component Analysis.

    a. 4 components extracted.

    Page 4

  • CORRELATIONS /VARIABLES=FAC1_1 FAC2_1 FAC3_1 FAC4_1 /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE.

    Correlations

    [DataSet1] C:\Users\JAYANT\Downloads\spss factor.sav

    REGR factor score 4 for analysis 1

    REGR factor score 3 for analysis 1

    REGR factor score 2 for analysis 1

    REGR factor score 1 for analysis 1

    Pearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)NPearson CorrelationSig. (2-tailed)N

    REGR factor score 1 for analysis 1

    REGR factor score 2 for analysis 1

    REGR factor score 3 for analysis 1

    REGR factor score 4 for analysis 1

    383838381.0001.0001.000

    1.000.000.00038383838

    1.0001.0001.000.0001.000.000

    383838381.0001.0001.000

    .000.0001.00038383838

    1.0001.0001.000.000.000.0001

    Correlations

    Page 5

  • FACTOR /VARIABLES holding secondary_occupation debt_income_ratio heads_education family_size income_level land_quality financial_assets f arm_output /MISSING LISTWISE /ANALYSIS holding secondary_occupation debt_income_ratio heads_education family_size income_level land_quality financial_assets fa rm_output /PRINT INITIAL EXTRACTION ROTATION /CRITERIA FACTORS(4) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /METHOD=CORRELATION.

    Factor Analysis

    [DataSet1] C:\Users\JAYANT\Downloads\spss factor.sav

    ExtractionInitialholdingsecondary_occupationdebt_income_ratioheads_educationfamily_sizeincome_levelland_qualityfinancial_assetsfarm_output .8451.000

    .7551.000

    .7381.000

    .7861.000

    .8661.000

    .6751.000

    .5271.000

    .5311.000

    .8431.000

    Communalities

    Extraction Method: Principal Component Analysis.

    Cumulative %% of VarianceTotal Cumulative %% of VarianceTotal Total

    Rotation Sums of Squared LoadingsExtraction Sums of Squared LoadingsInitial Eigenvalues

    123 1.36161.18413.2481.19261.18413.2481.192

    1.40747.93615.8621.42847.93615.8621.4282.67432.07432.0742.88732.07432.0742.887

    ComponentComponent

    Total Variance Explained

    Extraction Method: Principal Component Analysis.

    Page 6

  • Cumulative %% of Variance

    Rotation Sums of Squared Loadings

    123 60.46115.117

    45.34415.63529.70829.708

    ComponentComponent

    Total Variance Explained

    Extraction Method: Principal Component Analysis.

    Cumulative %% of VarianceTotal Cumulative %% of VarianceTotal Total

    Rotation Sums of Squared LoadingsExtraction Sums of Squared LoadingsInitial Eigenvalues

    456789 100.0001.427.128

    98.5733.515.31695.0584.128.37290.9308.415.75782.5159.549.859

    1.12572.96611.7821.06072.96611.7821.060ComponentComponent

    Total Variance Explained

    Extraction Method: Principal Component Analysis.

    Cumulative %% of Variance

    Rotation Sums of Squared Loadings

    456789

    72.96612.505ComponentComponent

    Total Variance Explained

    Extraction Method: Principal Component Analysis.

    4321Component

    holdingsecondary_occupationdebt_income_ratioheads_educationfamily_size -.082.376-.204-.823

    -.164-.360.709.126-.271.379.502.240.187.366.573.182.811.423.069.030

    Component Matrixa

    Extraction Method: Principal Component Analysis.

    a. 4 components extracted.

    Page 7

  • 4321Component

    income_levelland_qualityfinancial_assetsfarm_output .238-.236.120.848

    -.054.200-.283.795-.013.076.444-.732-.447.603-.078.465

    Component Matrixa

    Extraction Method: Principal Component Analysis.

    a. 4 components extracted.

    4321Component

    holdingsecondary_occupationdebt_income_ratioheads_educationfamily_sizeincome_levelland_qualityfinancial_assetsfarm_output .162.008.253.869

    .011.396-.246.733

    .115-.099.309-.787-.079.834-.189.219.012.008-.396-.842

    -.100-.007.814.055.113.607.382-.011.504.350.393-.003.896-.083-.179.032

    Rotated Component Matrixa

    Rotation Method: Varimax with Kaiser Normalization.

    a. Rotation converged in 10 iterations.

    43211234 .828-.525-.116.158

    .480.756-.359-.263

    .285.192.921-.185

    .051.340.101.934

    Component Transformation Matrix

    Rotation Method: Varimax with Kaiser Normalization.

    Page 8

  • FACTOR /VARIABLES holding secondary_occupation debt_income_ratio heads_education income_level financial_assets farm_output /MISSING LISTWISE /ANALYSIS holding secondary_occupation debt_income_ratio heads_education income_level financial_assets farm_output /PRINT INITIAL EXTRACTION ROTATION /CRITERIA FACTORS(4) ITERATE(25) /EXTRACTION PC /CRITERIA ITERATE(25) /ROTATION VARIMAX /METHOD=CORRELATION.

    /ROTATION VARIMAX /METHOD=CORRELATION.

    Factor Analysis

    [DataSet1] C:\Users\JAYANT\Downloads\spss factor.sav

    ExtractionInitialholdingsecondary_occupationdebt_income_ratioheads_educationincome_levelfinancial_assetsfarm_output .8001.000

    .8211.000

    .7141.000

    .8681.000

    .6471.000

    .5491.000

    .8321.000

    Communalities

    Extraction Method: Principal Component Analysis.

    Cumulative %% of VarianceTotal Cumulative %% of VarianceTotal Total

    Rotation Sums of Squared LoadingsExtraction Sums of Squared LoadingsInitial Eigenvalues

    1234567 100.0004.859.340

    95.1418.749.61286.39211.666.817

    1.08474.72614.028.98274.72614.028.9821.14460.69815.3181.07260.69815.3181.0721.23245.38017.6751.23745.38017.6751.2371.77027.70527.7051.93927.70527.7051.939

    ComponentComponent

    Total Variance Explained

    Extraction Method: Principal Component Analysis.

    Page 9

  • Cumulative %% of Variance

    Rotation Sums of Squared Loadings

    1234567

    74.72615.48059.24716.34942.89817.60625.29225.292

    ComponentComponent

    Total Variance Explained

    Extraction Method: Principal Component Analysis.

    4321Component

    holdingsecondary_occupationdebt_income_ratioheads_educationincome_levelfinancial_assetsfarm_output .531.033.002.719

    .059-.048-.461.777-.362-.226-.213.697.467-.352.701.188

    -.447-.065.540.388-.339.347.438.349.178.877.067.161

    Component Matrixa

    Extraction Method: Principal Component Analysis.a. 4 components extracted.

    4321Component

    holdingsecondary_occupationdebt_income_ratioheads_educationincome_levelfinancial_assetsfarm_output .306.528-.062.651

    .065-.042-.030.902-.232-.141.351.719-.115.905.166-.091-.112.143.780.073.295.019.678.038.905-.065.094.004

    Rotated Component Matrixa

    Rotation Method: Varimax with Kaiser Normalization.

    a. Rotation converged in 8 iterations.

    Page 10

  • 43211234 .314.682-.659.053

    .936-.305.120-.131

    .056.619.631-.464

    .151.242.393.874

    Component Transformation Matrix

    Rotation Method: Varimax with Kaiser Normalization.

    * Chart Builder. GGRAPH /GRAPHDATASET NAME="graphdataset" VARIABLES=FAC1_1 FAC2_1 FAC3_1 FAC4_1 MISSING=LISTWISE REPORTMISSING=NO /GRAPHSPEC SOURCE=INLINE. BEGIN GPL SOURCE: s=userSource(id("graphdataset")) DATA: FAC1_1=col(source(s), name("FAC1_1")) DATA: FAC2_1=col(source(s), name("FAC2_1")) DATA: FAC3_1=col(source(s), name("FAC3_1")) DATA: FAC4_1=col(source(s), name("FAC4_1")) GUIDE: axis(dim(1.1), ticks(null())) GUIDE: axis(dim(2.1), ticks(null())) GUIDE: axis(dim(1), gap(0px)) GUIDE: axis(dim(2), gap(0px)) TRANS: FAC1_1_label = eval("FAC1_1") TRANS: FAC2_1_label = eval("FAC2_1") TRANS: FAC3_1_label = eval("FAC3_1") TRANS: FAC4_1_label = eval("FAC4_1") ELEMENT: point(position((FAC1_1/FAC1_1_label+FAC2_1/FAC2_1_label+FAC3_1/FAC3_1_label+FAC4_1/FAC4_1_label)*(FAC1_1/FAC1_1_label+FAC 2_1/FAC2_1_label+FAC3_1/FAC3_1_label+FAC4_1/FAC4_1_label))) END GPL.

    GGraph

    [DataSet1] C:\Users\JAYANT\Downloads\spss factor.sav

    Page 11

  • FAC4_1FAC3_1FAC2_1FAC1_1

    FAC

    1_1

    FAC

    2_1

    FAC

    3_1

    FAC

    4_1

    Page 12