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PATH : Analyze General Linear Model Multivariate.

Data : Workprog.sav

GET FILE='C:\Program Files (x86)\IBM\SPSS\Statistics\20\Samples\English\workprog.sav'.DATASET NAME DataSet1 WINDOW=FRONT.GLM age reside BY marital /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /POSTHOC=marital(DUNCAN) /EMMEANS=TABLES(marital) /PRINT=DESCRIPTIVE ETASQ HOMOGENEITY /PLOT=RESIDUALS /CRITERIA=ALPHA(.05) /DESIGN= marital.

General Linear Model

[DataSet1] C:\Program Files (x86)\IBM\SPSS\Statistics\20\Samples\English\workprog.sav

Warnings

Post hoc tests are not performed for Marital status because there are fewer

than three groups.

Between-Subjects Factors

Value Label N

Marital status0 Unmarried 504

1 Married 496

Descriptive Statistics

Marital status Mean Std. Deviation N

Age in years

Unmarried 18.53 1.393 504

Married 18.43 1.310 496

Total 18.48 1.353 1000

Number of people in household

Unmarried 1.11 .499 504

Married 2.63 .963 496

Total 1.86 1.079 1000

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Box's Test of Equality of

Covariance Matricesa

Box's M 205.137

F 68.231

df1 3

df2 180736439.558

Sig. .000

Tests the null hypothesis that

the observed covariance

matrices of the dependent

variables are equal across

groups.

a. Design: Intercept + marital

Multivariate Testsa

Effect Value F Hypothesis df Error df Sig. Partial Eta

Squared

Intercept

Pillai's Trace .995 95807.175b 2.000 997.000 .000 .995

Wilks' Lambda .005 95807.175b 2.000 997.000 .000 .995

Hotelling's Trace 192.191 95807.175b 2.000 997.000 .000 .995

Roy's Largest Root 192.191 95807.175b 2.000 997.000 .000 .995

marital

Pillai's Trace .498 495.270b 2.000 997.000 .000 .498

Wilks' Lambda .502 495.270b 2.000 997.000 .000 .498

Hotelling's Trace .994 495.270b 2.000 997.000 .000 .498

Roy's Largest Root .994 495.270b 2.000 997.000 .000 .498

a. Design: Intercept + marital

b. Exact statistic

Levene's Test of Equality of Error Variancesa

F df1 df2 Sig.

Age in years 3.069 1 998 .080

Number of people in household 328.565 1 998 .000

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Tests the null hypothesis that the error variance of the dependent variable is equal

across groups.

a. Design: Intercept + marital

Tests of Between-Subjects Effects

Source Dependent Variable Type III Sum of

Squares

df Mean Square F Sig. Partial Eta

Squared

Corrected ModelAge in years 2.827a 1 2.827 1.546 .214 .002

Number of people in household 579.024b 1 579.024 988.684 .000 .498

InterceptAge in years 341435.867 1 341435.867 186741.395 .000 .995

Number of people in household 3497.004 1 3497.004 5971.138 .000 .857

maritalAge in years 2.827 1 2.827 1.546 .214 .002

Number of people in household 579.024 1 579.024 988.684 .000 .498

ErrorAge in years 1824.732 998 1.828

Number of people in household 584.480 998 .586

TotalAge in years 343301.000 1000

Number of people in household 4638.000 1000

Corrected TotalAge in years 1827.559 999

Number of people in household 1163.504 999

a. R Squared = .002 (Adjusted R Squared = .001)

b. R Squared = .498 (Adjusted R Squared = .497)

Estimated Marginal Means

Marital status

Dependent Variable Marital status Mean Std. Error 95% Confidence Interval

Lower Bound Upper Bound

Age in yearsUnmarried 18.532 .060 18.414 18.650

Married 18.425 .061 18.306 18.545

Number of people in householdUnmarried 1.109 .034 1.042 1.176

Married 2.631 .034 2.564 2.698

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Observed * Predicted * Std. Residual Plots

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