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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


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