Download - MANOVA SPSS Tables
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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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