| Notes | ||
| Output Created | 2008-11-12T15:15:24.000 | |
| Comments | ||
| Input | Data | /Users/superuser/Desktop/ANOVA_HW.sav |
| Active Dataset | DataSet1 | |
| Filter | <none> | |
| Weight | <none> | |
| Split File | <none> | |
| N of Rows in Working Data File | 49 | |
| Missing Value Handling | Definition of Missing | User-defined missing values are treated as missing. |
| Cases Used | Statistics for each analysis are based on cases with no missing data for any variable in the analysis. | |
| Syntax | ONEWAY Fate BY class /STATISTICS DESCRIPTIVES HOMOGENEITY /PLOT MEANS /MISSING ANALYSIS /POSTHOC=LSD ALPHA(0.05). | |
| Resources | Processor Time | 0:00:02.401 |
| Elapsed Time | 0:00:03.000 | |
| Descriptives | ||||||||
| Attitude toward fate | ||||||||
| N | Mean | Std. Deviation | Std. Error | 95% Confidence Interval for Mean | Minimum | Maximum | ||
| Lower Bound | Upper Bound | |||||||
| Lower Class | 7 | 13.1429 | 6.09449 | 2.30350 | 7.5064 | 18.7793 | 4.00 | 21.00 |
| Middle Class | 7 | 10.0000 | 4.32049 | 1.63299 | 6.0042 | 13.9958 | 3.00 | 17.00 |
| Upper Class | 7 | 5.4286 | 2.76026 | 1.04328 | 2.8758 | 7.9814 | 2.00 | 9.00 |
| Total | 21 | 9.5238 | 5.43709 | 1.18647 | 7.0489 | 11.9987 | 2.00 | 21.00 |
| Test of Homogeneity of Variances | |||
| Attitude toward fate | |||
| Levene Statistic | df1 | df2 | Sig. |
| 2.299 | 2 | 18 | .129 |
| ANOVA | |||||
| Attitude toward fate | |||||
| Sum of Squares | df | Mean Square | F | Sig. | |
| Between Groups | 210.667 | 2 | 105.333 | 4.982 | .019 |
| Within Groups | 380.571 | 18 | 21.143 | ||
| Total | 591.238 | 20 | |||
| Multiple Comparisons | ||||||
| Attitude toward fate LSD | ||||||
| (I) SES | (J) SES | Mean Difference (I-J) | Std. Error | Sig. | 95% Confidence Interval | |
| Lower Bound | Upper Bound | |||||
| Lower Class | Middle Class | 3.14286 | 2.45781 | .217 | -2.0208 | 8.3065 |
| Upper Class | 7.71429* | 2.45781 | .006 | 2.5506 | 12.8779 | |
| Middle Class | Lower Class | -3.14286 | 2.45781 | .217 | -8.3065 | 2.0208 |
| Upper Class | 4.57143 | 2.45781 | .079 | -.5922 | 9.7351 | |
| Upper Class | Lower Class | -7.71429* | 2.45781 | .006 | -12.8779 | -2.5506 |
| Middle Class | -4.57143 | 2.45781 | .079 | -9.7351 | .5922 | |
| *. The mean difference is significant at the 0.05 level. | ||||||
| Notes | ||
| Output Created | 2008-11-12T15:47:02.000 | |
| Comments | ||
| Input | Data | /Users/superuser/Desktop/ANOVA_HW.sav |
| Active Dataset | DataSet1 | |
| Filter | <none> | |
| Weight | <none> | |
| Split File | <none> | |
| N of Rows in Working Data File | 49 | |
| Missing Value Handling | Definition of Missing | User-defined missing values are treated as missing. |
| Cases Used | Statistics are based on all cases with valid data for all variables in the model. | |
| Syntax | GLM Red Blue Green /WSFACTOR=Hue 3 Polynomial /METHOD=SSTYPE(3) /PLOT=PROFILE(Hue) /EMMEANS=TABLES(Hue) COMPARE ADJ(LSD) /PRINT=DESCRIPTIVE HOMOGENEITY /CRITERIA=ALPHA(.05) /WSDESIGN=Hue. | |
| Resources | Processor Time | 0:00:01.793 |
| Elapsed Time | 0:00:02.000 | |
| Warnings |
| The HOMOGENEITY specification in the PRINT subcommand will be ignored because there are no between-subjects factors. |
| Within-Subjects Factors | |
| Measure:MEASURE_1 | |
| Hue | Dependent Variable |
| 1 | Red |
| 2 | Blue |
| 3 | Green |
| Descriptive Statistics | |||
| Mean | Std. Deviation | N | |
| red light | 61.8889 | 8.17686 | 9 |
| blue light | 75.1111 | 7.18409 | 9 |
| green light | 64.6667 | 8.67468 | 9 |
| Multivariate Testsb | ||||||
| Effect | Value | F | Hypothesis df | Error df | Sig. | |
| Hue | Pillai's Trace | .941 | 5.623E1 | 2.000 | 7.000 | .000 |
| Wilks' Lambda | .059 | 5.623E1 | 2.000 | 7.000 | .000 | |
| Hotelling's Trace | 16.065 | 5.623E1 | 2.000 | 7.000 | .000 | |
| Roy's Largest Root | 16.065 | 5.623E1 | 2.000 | 7.000 | .000 | |
| a. Exact statistic | ||||||
| b. Design: Intercept Within Subjects Design: Hue | ||||||
| Mauchly's Test of Sphericityb | |||||||
| Measure:MEASURE_1 | |||||||
| Within Subjects Effect | Mauchly's W | Approx. Chi-Square | df | Sig. | Epsilona | ||
| Greenhouse-Geisser | Huynh-Feldt | Lower-bound | |||||
| Hue | .299 | 8.441 | 2 | .015 | .588 | .629 | .500 |
| 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 Within Subjects Design: Hue | |||||||
| Tests of Within-Subjects Effects | ||||||
| Measure:MEASURE_1 | ||||||
| Source | Type III Sum of Squares | df | Mean Square | F | Sig. | |
| Hue | Sphericity Assumed | 874.889 | 2 | 437.444 | 30.285 | .000 |
| Greenhouse-Geisser | 874.889 | 1.176 | 743.893 | 30.285 | .000 | |
| Huynh-Feldt | 874.889 | 1.258 | 695.430 | 30.285 | .000 | |
| Lower-bound | 874.889 | 1.000 | 874.889 | 30.285 | .001 | |
| Error(Hue) | Sphericity Assumed | 231.111 | 16 | 14.444 | ||
| Greenhouse-Geisser | 231.111 | 9.409 | 24.563 | |||
| Huynh-Feldt | 231.111 | 10.064 | 22.963 | |||
| Lower-bound | 231.111 | 8.000 | 28.889 | |||
| Tests of Within-Subjects Contrasts | ||||||
| Measure:MEASURE_1 | ||||||
| Source | Hue | Type III Sum of Squares | df | Mean Square | F | Sig. |
| Hue | Linear | 34.722 | 1 | 34.722 | 6.494 | .034 |
| Quadratic | 840.167 | 1 | 840.167 | 35.688 | .000 | |
| Error(Hue) | Linear | 42.778 | 8 | 5.347 | ||
| Quadratic | 188.333 | 8 | 23.542 | |||
| Tests of Between-Subjects Effects | |||||
| Measure:MEASURE_1 Transformed Variable:Average | |||||
| Source | Type III Sum of Squares | df | Mean Square | F | Sig. |
| Intercept | 122008.333 | 1 | 122008.333 | 740.192 | .000 |
| Error | 1318.667 | 8 | 164.833 | ||
| Estimates | ||||
| Measure:MEASURE_1 | ||||
| Hue | Mean | Std. Error | 95% Confidence Interval | |
| Lower Bound | Upper Bound | |||
| 1 | 61.889 | 2.726 | 55.604 | 68.174 |
| 2 | 75.111 | 2.395 | 69.589 | 80.633 |
| 3 | 64.667 | 2.892 | 57.999 | 71.335 |
| Pairwise Comparisons | ||||||
| Measure:MEASURE_1 | ||||||
| (I) Hue | (J) Hue | Mean Difference (I-J) | Std. Error | Sig.a | 95% Confidence Interval for Differencea | |
| Lower Bound | Upper Bound | |||||
| 1 | 2 | -13.222* | 1.640 | .000 | -17.003 | -9.441 |
| 3 | -2.778* | 1.090 | .034 | -5.292 | -.264 | |
| 2 | 1 | 13.222* | 1.640 | .000 | 9.441 | 17.003 |
| 3 | 10.444* | 2.399 | .002 | 4.913 | 15.976 | |
| 3 | 1 | 2.778* | 1.090 | .034 | .264 | 5.292 |
| 2 | -10.444* | 2.399 | .002 | -15.976 | -4.913 | |
| Based on estimated marginal means | ||||||
| *. The mean difference is significant at the .05 level. | ||||||
| a. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments). | ||||||
| Multivariate Tests | |||||
| Value | F | Hypothesis df | Error df | Sig. | |
| Pillai's trace | .941 | 5.623E1 | 2.000 | 7.000 | .000 |
| Wilks' lambda | .059 | 5.623E1 | 2.000 | 7.000 | .000 |
| Hotelling's trace | 16.065 | 5.623E1 | 2.000 | 7.000 | .000 |
| Roy's largest root | 16.065 | 5.623E1 | 2.000 | 7.000 | .000 |
| Each F tests the multivariate effect of Hue. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means. | |||||
| a. Exact statistic | |||||
| Notes | ||
| Output Created | 2008-11-12T16:14:29.000 | |
| Comments | ||
| Input | Data | /Users/superuser/Desktop/ANOVA_HW.sav |
| Active Dataset | DataSet1 | |
| Filter | <none> | |
| Weight | <none> | |
| Split File | <none> | |
| N of Rows in Working Data File | 49 | |
| Missing Value Handling | Definition of Missing | User-defined missing values are treated as missing. |
| Cases Used | Statistics are based on all cases with valid data for all variables in the model. | |
| Syntax | UNIANOVA Maze BY Strain Environment /METHOD=SSTYPE(3) /INTERCEPT=INCLUDE /POSTHOC=Strain(LSD) /PLOT=PROFILE(Environment*Strain) /EMMEANS=TABLES(OVERALL) /EMMEANS=TABLES(Strain) /EMMEANS=TABLES(Environment) /EMMEANS=TABLES(Strain*Environment) /PRINT=HOMOGENEITY DESCRIPTIVE /CRITERIA=ALPHA(.05) /DESIGN=Strain Environment Strain*Environment. | |
| Resources | Processor Time | 0:00:01.961 |
| Elapsed Time | 0:00:03.000 | |
| Between-Subjects Factors | |||
| Value Label | N | ||
| Strain of Rat | 1 | Holtzman | 16 |
| 2 | Wistar | 16 | |
| 3 | Sprague-Dawley | 16 | |
| Environment raised in: | 1 | Enriched | 24 |
| 2 | Normal | 24 | |
| Descriptive Statistics | ||||
| Dependent Variable:Maze Learning to Criterion Scores | ||||
| Strain of Rat | Environment raised in: | Mean | Std. Deviation | N |
| Holtzman | Enriched | 34.6250 | 24.69203 | 8 |
| Normal | 55.1250 | 30.42761 | 8 | |
| Total | 44.8750 | 28.78628 | 16 | |
| Wistar | Enriched | 49.3750 | 24.52368 | 8 |
| Normal | 94.0000 | 30.60812 | 8 | |
| Total | 71.6875 | 35.33972 | 16 | |
| Sprague-Dawley | Enriched | 72.1250 | 36.78679 | 8 |
| Normal | 137.6250 | 72.73030 | 8 | |
| Total | 104.8750 | 65.14689 | 16 | |
| Total | Enriched | 52.0417 | 32.07394 | 24 |
| Normal | 95.5833 | 57.98119 | 24 | |
| Total | 73.8125 | 51.30910 | 48 | |
| Levene's Test of Equality of Error Variancesa | |||
| Dependent Variable:Maze Learning to Criterion Scores | |||
| F | df1 | df2 | Sig. |
| 3.539 | 5 | 42 | .009 |
| Tests the null hypothesis that the error variance of the dependent variable is equal across groups. | |||
| a. Design: Intercept + Strain + Environment + Strain * Environment | |||
| Tests of Between-Subjects Effects | |||||
| Dependent Variable:Maze Learning to Criterion Scores | |||||
| Source | Type III Sum of Squares | df | Mean Square | F | Sig. |
| Corrected Model | 55715.938a | 5 | 11143.188 | 6.881 | .000 |
| Intercept | 261517.688 | 1 | 261517.688 | 161.484 | .000 |
| Strain | 28908.375 | 2 | 14454.187 | 8.925 | .001 |
| Environment | 22750.521 | 1 | 22750.521 | 14.048 | .001 |
| Strain * Environment | 4057.042 | 2 | 2028.521 | 1.253 | .296 |
| Error | 68017.375 | 42 | 1619.461 | ||
| Total | 385251.000 | 48 | |||
| Corrected Total | 123733.313 | 47 | |||
| a. R Squared = .450 (Adjusted R Squared = .385) | |||||
| 1. Grand Mean | |||
| Dependent Variable:Maze Learning to Criterion Scores | |||
| Mean | Std. Error | 95% Confidence Interval | |
| Lower Bound | Upper Bound | ||
| 73.812 | 5.809 | 62.090 | 85.535 |
| 2. Strain of Rat | ||||
| Dependent Variable:Maze Learning to Criterion Scores | ||||
| Strain of Rat | Mean | Std. Error | 95% Confidence Interval | |
| Lower Bound | Upper Bound | |||
| Holtzman | 44.875 | 10.061 | 24.572 | 65.178 |
| Wistar | 71.688 | 10.061 | 51.384 | 91.991 |
| Sprague-Dawley | 104.875 | 10.061 | 84.572 | 125.178 |
| 3. Environment raised in: | ||||
| Dependent Variable:Maze Learning to Criterion Scores | ||||
| Environment raised in: | Mean | Std. Error | 95% Confidence Interval | |
| Lower Bound | Upper Bound | |||
| Enriched | 52.042 | 8.214 | 35.464 | 68.619 |
| Normal | 95.583 | 8.214 | 79.006 | 112.161 |
| 4. Strain of Rat * Environment raised in: | |||||
| Dependent Variable:Maze Learning to Criterion Scores | |||||
| Strain of Rat | Environment raised in: | Mean | Std. Error | 95% Confidence Interval | |
| Lower Bound | Upper Bound | ||||
| Holtzman | Enriched | 34.625 | 14.228 | 5.912 | 63.338 |
| Normal | 55.125 | 14.228 | 26.412 | 83.838 | |
| Wistar | Enriched | 49.375 | 14.228 | 20.662 | 78.088 |
| Normal | 94.000 | 14.228 | 65.287 | 122.713 | |
| Sprague-Dawley | Enriched | 72.125 | 14.228 | 43.412 | 100.838 |
| Normal | 137.625 | 14.228 | 108.912 | 166.338 | |
| Multiple Comparisons | ||||||
| Maze Learning to Criterion Scores LSD | ||||||
| (I) Strain of Rat | (J) Strain of Rat | Mean Difference (I-J) | Std. Error | Sig. | 95% Confidence Interval | |
| Lower Bound | Upper Bound | |||||
| Holtzman | Wistar | -26.8125 | 14.22788 | .066 | -55.5255 | 1.9005 |
| Sprague-Dawley | -60.0000* | 14.22788 | .000 | -88.7130 | -31.2870 | |
| Wistar | Holtzman | 26.8125 | 14.22788 | .066 | -1.9005 | 55.5255 |
| Sprague-Dawley | -33.1875* | 14.22788 | .025 | -61.9005 | -4.4745 | |
| Sprague-Dawley | Holtzman | 60.0000* | 14.22788 | .000 | 31.2870 | 88.7130 |
| Wistar | 33.1875* | 14.22788 | .025 | 4.4745 | 61.9005 | |
| Based on observed means. The error term is Mean Square(Error) = 1619.461. | ||||||
| *. The mean difference is significant at the .05 level. | ||||||
