Chapter 12: ANOVA

Problem #1 (4 pts.). A researcher is interested in examining whether there are significant differences on mean college adjustment scores across three classes (freshman vs. sophomore vs. junior/senior). Run ANOVA using = .05.

1. (0.5 point) Add SPSS output (THREE tables).

Descriptives CollAdjust_Is 95% Confidence Interval for Mean N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum 1 Freshman 10 5.20 2.394 757 3.49 6.91 9 2 Sophomore 11 5.91 2.468 .744 4.25 7.57 2 10 3 Junior/Senior 14 7.07 2.369 633 5.70 8.44 3 11 Total 35 6.17 2.467 417 5.32 7.02 11\fANOVA Effect Sizes a,b 95% Confidence Interval Point Estimate Lower Upper CollAdjust_Is Eta-squared .104 000 286 Epsilon-squared .048 -.062 .241 Omega-squared Fixed- 047 -.061 .236 effect Omega-squared Random- .024 -.029 .134 effect a. Eta-squared and Epsilon-squared are estimated based on the fixed-effect model. b. Negative but less biased estimates are retained, not rounded to zero.\fCorrelations CollAdjust_Is Support_Is CollAdjust Is Pearson Correlation .609 Sig. (1-tailed) <.001 n support_is pearson correlation .609 sig. is significant at the level statistics somedia chi-square df asymp. .302 a. cells have expected frequencies less than minimum cell frequency>