B. Use the cell means you entered in Q1.A. [4 Marks] a. For Textdriving - No, what is the value of the difference on positivity bias between male and female? b. For Textdriving - Yes, what is the value of the difference on positivity bias between male and female? c. Does the data appear to show an interaction effect? Why? C. Based on the "Assumption Checks Table, is the homogeneity assumption met? Why? [1 mark] D. Use the "ANOVA table to answer the following questions, a = .05. a. Is there a main effect of gender on positivity bias? Why? [1 mark] b. Is there a main effect of past textdriving on positivity bias? Why? [1 mark] c. Is there an interaction effect between gender and past textdriving on positivity bias? Why? [1 mark] d. Using a = .05 and the Appendix Table B.5 (F-Distribution), what is the critical value for the F-ratio for the interaction between gender and textdriving (gender*textdriving)? Use the nearest lower df for the denominator available in the table. [1 mark] e. Under the "Cases" column as sources of variation, you can already see the SS related to gender, textdriving, and their interaction. Suitrip is labeled as Residual. What is the value of Stotal? [1 mark] f. What is the effect size value for the interaction? [1 mark] Gender Marginal Means for Textdriving Male Female Textdriving No 3.262 3.526 3.412 Yes 3.880 3.415 3.647 3.571 3.470 Marginal Means for Gender ANOVA - posbias Cases Sum of Squares df Mean Square F m. gender 0.459 1 0.459 0.617 0.433 0.003 textdriving 2.934 1 2.934 3.945 0.048 0.016 gender * textdriving 6.045 1 6.045 8.128 0.005 0.032 Residuals 181.466 244 0.744 Note. Type III Sum of Squares Descriptives - posbias gendertextdriving Mean SD N 1 1 3.262 0.939 42 2 3.880 0.666 25 2 1 3.526 0.849 116 2 3.415 0.900 65 Assumption Checks Test for Equality of Variances (Levene's) F df1 df2 2.246 3.000 244.000 0.084 B. Use the cell means you entered in Q1.A. [4 Marks] a. For Textdriving - No, what is the value of the difference on positivity bias between male and female? b. For Textdriving - Yes, what is the value of the difference on positivity bias between male and female? c. Does the data appear to show an interaction effect? Why? C. Based on the "Assumption Checks Table, is the homogeneity assumption met? Why? [1 mark] D. Use the "ANOVA table to answer the following questions, a = .05. a. Is there a main effect of gender on positivity bias? Why? [1 mark] b. Is there a main effect of past textdriving on positivity bias? Why? [1 mark] c. Is there an interaction effect between gender and past textdriving on positivity bias? Why? [1 mark] d. Using a = .05 and the Appendix Table B.5 (F-Distribution), what is the critical value for the F-ratio for the interaction between gender and textdriving (gender*textdriving)? Use the nearest lower df for the denominator available in the table. [1 mark] e. Under the "Cases" column as sources of variation, you can already see the SS related to gender, textdriving, and their interaction. Suitrip is labeled as Residual. What is the value of Stotal? [1 mark] f. What is the effect size value for the interaction? [1 mark] Gender Marginal Means for Textdriving Male Female Textdriving No 3.262 3.526 3.412 Yes 3.880 3.415 3.647 3.571 3.470 Marginal Means for Gender ANOVA - posbias Cases Sum of Squares df Mean Square F m. gender 0.459 1 0.459 0.617 0.433 0.003 textdriving 2.934 1 2.934 3.945 0.048 0.016 gender * textdriving 6.045 1 6.045 8.128 0.005 0.032 Residuals 181.466 244 0.744 Note. Type III Sum of Squares Descriptives - posbias gendertextdriving Mean SD N 1 1 3.262 0.939 42 2 3.880 0.666 25 2 1 3.526 0.849 116 2 3.415 0.900 65 Assumption Checks Test for Equality of Variances (Levene's) F df1 df2 2.246 3.000 244.000 0.084
