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COMMENT This is the syntax for Chapter 12 Research Question Data
COMMENT This tests the grapes consumed hypotheses
GLM Rel_distance Work_distance Future_distance BY Therapy
/WSFACTOR=stress 3 Polynomial
/METHOD=SSTYPE(3)
/EMMEANS=TABLES(OVERALL)
/EMMEANS=TABLES(Therapy) COMPARE ADJ(BONFERRONI)
/EMMEANS=TABLES(stress) COMPARE ADJ(BONFERRONI)
/EMMEANS=TABLES(Therapy*stress)
/PRINT=DESCRIPTIVE ETASQ
/CRITERIA=ALPHA(.05)
/WSDESIGN=stress
/DESIGN=Therapy.
General Linear Model
[DataSet3] C:\Users\dstrohme\Dropbox\Textbook - Files\xx - Instructor Manual\
Chapter 12\_12_Statistics_from_Chapter\12_12_ChapterRQ_Mixed_ ANOVA_Data.sav
stress
Dependent
Variable
1 Rel_distance
2 Work_distanc
e
3 Future_
distance
Within-Subjects
Factors
Measure:MEASURE_1
Value Label N
Therapy 1.00 Cognitive- Behavioral
32
2.00 Psychodynam
ic
31
Between-Subjects Factors
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Therapy Mean Std. Deviation N
Rel_distance Cognitive-Behavioral 10.4389 2.86146 32
Psychodynamic 9.0937 2.37580 31
Total 9.7769 2.69903 63
Work_distance Cognitive-Behavioral 9.1469 2.94507 32
Psychodynamic 9.2899 3.15821 31
Total 9.2172 3.02790 63
Future_distance Cognitive-Behavioral 9.4320 3.34082 32
Psychodynamic 8.8943 2.85553 31
Total 9.1674 3.09830 63
Descriptive Statistics
Effect Value F Hypothesis df Error df
stress Pillai's Trace .039 a 1.230 2.000 60.000
Wilks' Lambda .961 a 1.230 2.000 60.000
Hotelling's Trace .041 a 1.230 2.000 60.000
Roy's Largest Root .041 a 1.230 2.000 60.000
stress * Therapy Pillai's Trace .054 a 1.698 2.000 60.000
Wilks' Lambda .946 a 1.698 2.000 60.000
Hotelling's Trace .057 a 1.698 2.000 60.000
Roy's Largest Root .057 a 1.698 2.000 60.000
Multivariate b
Tests
Partial Eta
Effect Sig. Squared
stress Pillai's Trace .300 .039
Wilks' Lambda .300 .039
Hotelling's Trace .300 .039
Roy's Largest Root .300 .039
stress * Therapy Pillai's Trace .192 .054
Wilks' Lambda .192 .054
Hotelling's Trace .192 .054
Roy's Largest Root .192 .054
Multivariate b
Tests
a. Exact statistic
b. Design: Intercept + Therapy
Within Subjects Design: stress
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Approx. Chi- Within Subjects Effect Mauchly's W Square df Sig.
stress .987 .802 2 .670
Mauchly's Test of b
Sphericity
Measure:MEASURE_1
a Epsilon
Greenhouse- Within Subjects Effect Geisser Huynh-Feldt Lower-bound
stress .987 1.000 .500
Mauchly's Test of b
Sphericity
Measure:MEASURE_1
Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent
variables is proportional to an identity matrix.
a. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are
displayed in the Tests of Within-Subjects Effects table.
b. Design: Intercept + Therapy
Within Subjects Design: stress
Source
Type III Sum
of Squares df Mean Square F
stress Sphericity Assumed 14.003 2 7.001 1.384
Greenhouse-Geisser 14.003 1.974 7.094 1.384
Huynh-Feldt 14.003 2.000 7.001 1.384
Lower-bound 14.003 1.000 14.003 1.384
stress * Therapy Sphericity Assumed 17.479 2 8.740 1.728
Greenhouse-Geisser 17.479 1.974 8.856 1.728
Huynh-Feldt 17.479 2.000 8.740 1.728
Lower-bound 17.479 1.000 17.479 1.728
Error(stress) Sphericity Assumed 616.998 122 5.057
Greenhouse-Geisser 616.998 120.402 5.124
Huynh-Feldt 616.998 122.000 5.057
Lower-bound 616.998 61.000 10.115
Tests of Within-Subjects Effects
Measure:MEASURE_1
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Partial Eta
Source Sig. Squared
stress Sphericity Assumed .254 .022
Greenhouse-Geisser .254 .022
Huynh-Feldt .254 .022
Lower-bound .244 .022
stress * Therapy Sphericity Assumed .182 .028
Greenhouse-Geisser .182 .028
Huynh-Feldt .182 .028
Lower-bound .194 .028
Tests of Within-Subjects Effects
Measure:MEASURE_1
Source stress
Type III Sum
of Squares df Mean Square F
stress Linear 11.455 1 11.455 2.062
Quadratic 2.548 1 2.548 .559
stress * Therapy Linear 5.134 1 5.134 .924
Quadratic 12.345 1 12.345 2.707
Error(stress) Linear 338.799 61 5.554
Quadratic 278.199 61 4.561
Tests of Within-Subjects Contrasts
Measure:MEASURE_1
Source stress Sig.
Partial Eta
Squared
stress Linear .156 .033
Quadratic .458 .009
stress * Therapy Linear .340 .015
Quadratic .105 .042
Tests of Within-Subjects Contrasts
Measure:MEASURE_1
Source
Type III Sum
of Squares df Mean Square F Sig.
Partial Eta
Squared
Intercept 16634.055 1 16634.055 1051.607 .000 .945
Therapy 15.888 1 15.888 1.004 .320 .016
Error 964.883 61 15.818
Tests of Between-Subjects Effects
Measure:MEASURE_1
Transformed Variable:Average
Estimated Marginal Means
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95% Confidence Interval
Mean Std. Error Lower Bound Upper Bound
9.383 .289 8.804 9.961
1. Grand Mean
Measure:MEASURE_1
2. Therapy
95% Confidence Interval
Therapy Mean Std. Error Lower Bound Upper Bound
Cognitive-Behavioral 9.673 .406 8.861 10.484
Psychodynamic 9.093 .412 8.268 9.917
Estimates
Measure:MEASURE_1
Mean
(I) Therapy (J) Therapy
Difference (I- J) Std. Error a Sig.
Cognitive-Behavioral Psychodynamic .580 .579 .320
Psychodynamic Cognitive-Behavioral -.580 .579 .320
Pairwise Comparisons
Measure:MEASURE_1
95% Confidence Interval for a Difference
(I) Therapy (J) Therapy Lower Bound Upper Bound
Cognitive-Behavioral Psychodynamic -.577 1.737
Psychodynamic Cognitive-Behavioral -1.737 .577
Pairwise Comparisons
Measure:MEASURE_1
Based on estimated marginal means
a. Adjustment for multiple comparisons: Bonferroni.
Sum of
Squares df Mean Square F Sig.
Partial Eta
Squared
Contrast 5.296 1 5.296 1.004 .320 .016
Error 321.628 61 5.273
Univariate Tests
The F tests the effect of Therapy. This test is based on the linearly independent pairwise
comparisons among the estimated marginal means.
Measure:MEASURE_1
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3. stress
95% Confidence Interval
stress Mean Std. Error Lower Bound Upper Bound
1 9.766 .332 9.103 10.430
2 9.218 .385 8.449 9.987
3 9.163 .392 8.379 9.947
Estimates
Measure:MEASURE_1
95% Confidence Interval for a Difference
Mean
Difference (I- J) a Sig. (I) stress (J) stress Std. Error Lower Bound Upper Bound
1 2 .548 .401 .532 -.440 1.536
3 .603 .420 .468 -.431 1.637
2 1 -.548 .401 .532 -1.536 .440
3 .055 .380 1.000 -.880 .991
3 1 -.603 .420 .468 -1.637 .431
2 -.055 .380 1.000 -.991 .880
Pairwise Comparisons
Based on estimated marginal means
a. Adjustment for multiple comparisons: Bonferroni.
Measure:MEASURE_1
Partial Eta
Value F Hypothesis df Error df Sig. Squared
Pillai's trace .039 a 1.230 2.000 60.000 .300 .039
Wilks' lambda .961 a 1.230 2.000 60.000 .300 .039
Hotelling's trace .041 a 1.230 2.000 60.000 .300 .039
Roy's largest root .041 a 1.230 2.000 60.000 .300 .039
Multivariate Tests
Each F tests the multivariate effect of stress. These tests are based on the linearly independent
pairwise comparisons among the estimated marginal means.
a. Exact statistic
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95% Confidence Interval
Therapy stress Mean Std. Error Lower Bound Upper Bound
Cognitive-Behavioral 1 10.439 .466 9.508 11.370
2 9.147 .539 8.068 10.226
3 9.432 .550 8.332 10.532
Psychodynamic 1 9.094 .473 8.148 10.040
2 9.290 .548 8.194 10.386
3 8.894 .559 7.777 10.012
4. Therapy * stress
Measure:MEASURE_1
COMMENT This tests the bowl distance hypotheses
GLM Rel_grapes Work_grapes Future_grapes BY Therapy
/WSFACTOR=stress 3 Polynomial
/METHOD=SSTYPE(3)
/EMMEANS=TABLES(OVERALL)
/EMMEANS=TABLES(Therapy) COMPARE ADJ(BONFERRONI)
/EMMEANS=TABLES(stress) COMPARE ADJ(BONFERRONI)
/EMMEANS=TABLES(Therapy*stress)
/PRINT=DESCRIPTIVE ETASQ
/CRITERIA=ALPHA(.05)
/WSDESIGN=stress
/DESIGN=Therapy.
General Linear Model
[DataSet3] C:\Users\dstrohme\Dropbox\Textbook - Files\xx - Instructor Manual\
Chapter 12\_12_Statistics_from_Chapter\12_12_ChapterRQ_Mixed_ ANOVA_Data.sav
stress
Dependent
Variable
1 Rel_grapes
2 Work_grapes
3 Future_grape
s
Within-Subjects
Factors
Measure:MEASURE_1
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Partial Eta
Effect Sig. Squared
stress Pillai's Trace .000 .242
Wilks' Lambda .000 .242
Hotelling's Trace .000 .242
Roy's Largest Root .000 .242
stress * Therapy Pillai's Trace .373 .032
Wilks' Lambda .373 .032
Hotelling's Trace .373 .032
Roy's Largest Root .373 .032
Multivariate b
Tests
a. Exact statistic
b. Design: Intercept + Therapy
Within Subjects Design: stress
Approx. Chi- Within Subjects Effect Mauchly's W Square df Sig.
stress .550 35.899 2 .000
Mauchly's Test of b
Sphericity
Measure:MEASURE_1
a Epsilon
Greenhouse- Within Subjects Effect Geisser Huynh-Feldt Lower-bound
stress .690 .712 .500
Mauchly's Test of b
Sphericity
Measure:MEASURE_1
Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent
variables is proportional to an identity matrix.
a. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are
displayed in the Tests of Within-Subjects Effects table.
b. Design: Intercept + Therapy
Within Subjects Design: stress
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Source
Type III Sum
of Squares df Mean Square F
stress Sphericity Assumed 458.501 2 229.251 14.621
Greenhouse-Geisser 458.501 1.379 332.474 14.621
Huynh-Feldt 458.501 1.424 322.056 14.621
Lower-bound 458.501 1.000 458.501 14.621
stress * Therapy Sphericity Assumed 36.836 2 18.418 1.175
Greenhouse-Geisser 36.836 1.379 26.711 1.175
Huynh-Feldt 36.836 1.424 25.874 1.175
Lower-bound 36.836 1.000 36.836 1.175
Error(stress) Sphericity Assumed 1912.917 122 15.680
Greenhouse-Geisser 1912.917 84.122 22.740
Huynh-Feldt 1912.917 86.844 22.027
Lower-bound 1912.917 61.000 31.359
Tests of Within-Subjects Effects
Measure:MEASURE_1
Partial Eta
Source Sig. Squared
stress Sphericity Assumed .000 .193
Greenhouse-Geisser .000 .193
Huynh-Feldt .000 .193
Lower-bound .000 .193
stress * Therapy Sphericity Assumed .312 .019
Greenhouse-Geisser .299 .019
Huynh-Feldt .300 .019
Lower-bound .283 .019
Tests of Within-Subjects Effects
Measure:MEASURE_1
Source stress
Type III Sum
of Squares df Mean Square F
stress Linear 312.820 1 312.820 13.910
Quadratic 145.681 1 145.681 16.424
stress * Therapy Linear 18.933 1 18.933 .842
Quadratic 17.903 1 17.903 2.018
Error(stress) Linear 1371.831 61 22.489
Quadratic 541.086 61 8.870
Tests of Within-Subjects Contrasts
Measure:MEASURE_1
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Source stress Sig.
Partial Eta
Squared
stress Linear .000 .186
Quadratic .000 .212
stress * Therapy Linear .362 .014
Quadratic .161 .032
Tests of Within-Subjects Contrasts
Measure:MEASURE_1
Source
Type III Sum
of Squares df Mean Square F Sig.
Partial Eta
Squared
Intercept 24332.527 1 24332.527 164.377 .000 .729
Therapy 1791.469 1 1791.469 12.102 .001 .166
Error 9029.769 61 148.029
Tests of Between-Subjects Effects
Measure:MEASURE_1
Transformed Variable:Average
Estimated Marginal Means
95% Confidence Interval
Mean Std. Error Lower Bound Upper Bound
11.348 .885 9.578 13.118
1. Grand Mean
Measure:MEASURE_1
2. Therapy
95% Confidence Interval
Therapy Mean Std. Error Lower Bound Upper Bound
Cognitive-Behavioral 14.427 1.242 11.944 16.910
Psychodynamic 8.269 1.262 5.746 10.792
Estimates
Measure:MEASURE_1
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Mean
Difference (I- a
(I) Therapy (J) Therapy J) Std. Error Sig.
*
1
Cognitive-Behavioral Psychodynamic 6.158 1.770 .001
* Psychodynamic Cognitive-Behavioral -6.158 1.770 .00
Pairwise Comparisons
Measure:MEASURE_1
95% Confidence Interval for a Difference
(I) Therapy (J) Therapy Lower Bound Upper Bound
Cognitive-Behavioral Psychodynamic 2.618 9.698
Psychodynamic Cognitive-Behavioral -9.698 -2.618
Pairwise Comparisons
Measure:MEASURE_1
Based on estimated marginal means
*. The mean difference is significant at the .05 level.
a. Adjustment for multiple comparisons: Bonferroni.
Sum of
Squares df Mean Square F Sig.
Partial Eta
Squared
Contrast 597.156 1 597.156 12.102 .001 .166
Error 3009.923 61 49.343
Univariate Tests
The F tests the effect of Therapy. This test is based on the linearly independent pairwise
comparisons among the estimated marginal means.
Measure:MEASURE_1
3. stress
95% Confidence Interval
stress Mean Std. Error Lower Bound Upper Bound
1 9.151 .930 7.292 11.011
2 12.590 1.002 10.587 14.592
3 12.303 .990 10.323 14.283
Estimates
Measure:MEASURE_1
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95% Confidence Interval for a Difference
Mean
Difference (I- J) (I) stress
1
(J) stress
2 * -3.439
Std. Error
.781
a Sig.
.000
Lower Bound Upper Bound
-5.362 -1.515
3 * -3.152 .845 .001 -5.232 -1.071
2 1 * 3.439 .781 .000 1.515 5.362
3 .287 .411 1.000 -.726 1.299
3 1 * 3.152 .845 .001 1.071 5.232
2 -.287 .411 1.000 -1.299 .726
Pairwise Comparisons
Based on estimated marginal means
*. The mean difference is significant at the .05 level.
a. Adjustment for multiple comparisons: Bonferroni.
Measure:MEASURE_1
Partial Eta
Value F Hypothesis df Error df Sig. Squared
Pillai's trace .242 a 9.558 2.000 60.000 .000 .242
Wilks' lambda .758 a 9.558 2.000 60.000 .000 .242
Hotelling's trace .319 a 9.558 2.000 60.000 .000 .242
Roy's largest root .319 a 9.558 2.000 60.000 .000 .242
Multivariate Tests
Each F tests the multivariate effect of stress. These tests are based on the linearly independent
pairwise comparisons among the estimated marginal means.
a. Exact statistic
95% Confidence Interval
Therapy stress Mean Std. Error Lower Bound Upper Bound
Cognitive-Behavioral 1 11.625 1.305 9.016 14.234
2 16.104 1.405 13.294 18.914
3 15.552 1.389 12.774 18.330
Psychodynamic 1 6.677 1.325 4.027 9.328
2 9.075 1.428 6.221 11.930
3 9.054 1.411 6.232 11.876
4. Therapy * stress
Measure:MEASURE_1
COMMENT This creates the overall mean for grapes consumed (across all conditi
ons)
COMPUTE x_OverallGrapes = MEAN (Rel_grapes,Work_grapes,Future_grapes) .
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EXECUTE .
COMMENT This calculates the overall mean for grapes consumed
DESCRIPTIVES
VARIABLES=x_OverallGrapes
/STATISTICS=MEAN STDDEV .
Descriptives
[DataSet3] C:\Users\dstrohme\Dropbox\Textbook - Files\xx - Instructor Manual\
Chapter 12\_12_Statistics_from_Chapter\12_12_ChapterRQ_Mixed_ ANOVA_Data.sav
N Mean Std. Deviation
x_OverallGrapes 63 11.3968 7.62750
Valid N (listwise) 63
Descriptive Statistics
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