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Welcome to MM570 Psychological Statistics

Welcome to MM570 Psychological Statistics. Unit 9 Seminar Dr. April Judd. Factorial Design and Interaction Effects. Factorial research design Comparing multiple means on two independent variables (factors) Interaction effects

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Welcome to MM570 Psychological Statistics

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  1. Welcome to MM570Psychological Statistics Unit 9 Seminar Dr. April Judd

  2. Factorial Design and Interaction Effects • Factorial research design • Comparing multiple means on two independent variables (factors) • Interaction effects • There is an interaction between two factors if the effect of one of the factors changes for different categories of the other factor.

  3. Factorial Design • We are interested in comparing the weekly study time for male and female students in different college majors. • By convention we will call one variable (Gender) Factor A and the other variable (College Major) Factor B. • Three Null Hypotheses • There is no difference in study time between different college majors (Green) • There is no difference in study time between females and males (Yellow) • There is no interaction between college major and gender on study time (Blue)

  4. Factorial Research Design

  5. ANOVA Table for Two-Way ANOVA

  6. Using SPSS Factorial ANOVA

  7. Using SPSS Factorial ANOVA

  8. Using SPSS Factorial ANOVA

  9. Using SPSS Factorial ANOVA

  10. Using SPSS Factorial ANOVA

  11. SPSS Factorial ANOVA Output-ANOVA Summary Table

  12. SPSS Factorial ANOVA Output-Descriptives

  13. SPSS Factorial ANOVA Output-Post Hoc Comparisons

  14. SPSS Factorial ANOVA Output- Plots

  15. Interpretation • Females study more if they are Psychology or IT • Males study more if they are Psychology or Nursing majors. • There is no difference in the study time between males and females majoring in Psychology

  16. QUESTIONS??

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