welcome to mm570 psychological statistics
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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 - PowerPoint PPT PresentationTRANSCRIPT
Welcome to MM570Welcome to MM570Psychological StatisticsPsychological Statistics
Welcome to MM570Welcome to MM570Psychological StatisticsPsychological Statistics
Unit 9 SeminarDr. April Judd
Factorial Design and Interaction EffectsFactorial 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.
Factorial DesignFactorial 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)
Factorial Research DesignFactorial Research Design
College Major
Male FemaleFactor B Means
Business 10.4 9.7 10.5
Psychology 8.7 6.9 7.8
Nursing 12.9 14.5 13.7
IT 10.5 8.45 9.475
Factor A Means
10.625 9.8875 10.25625
ANOVA Table for Two-Way ANOVAANOVA Table for Two-Way ANOVA
Using SPSS Factorial ANOVAUsing SPSS Factorial ANOVA Analyze General Linear Model Univariate On the Dependent variable and move it to the "Dependent Variable" box On the Independent variables (grouping variables) and move them to the "Fixed Factors" box Post Hoc and move any variable that has more than two levels to the "Post Hoc Tests For" box and select Scheffe. Plots and put one independent variable on the horizontal axis (the one with the most levels) and the other independent variable into the "Separate Lines" box, ADD Continue Options and move the variables (including the interaction) to the "Display Means for" box and check the box by Descriptive Statistics Continue OK
Using SPSS Factorial ANOVAUsing SPSS Factorial ANOVA
Using SPSS Factorial ANOVAUsing SPSS Factorial ANOVA
Using SPSS Factorial ANOVAUsing SPSS Factorial ANOVA
Using SPSS Factorial ANOVAUsing SPSS Factorial ANOVA
SPSS Factorial ANOVA Output-ANOVA Summary Table
SPSS Factorial ANOVA Output-ANOVA Summary Table
SPSS Factorial ANOVA Output-Descriptives
SPSS Factorial ANOVA Output-Descriptives
SPSS Factorial ANOVA Output-Post Hoc Comparisons
SPSS Factorial ANOVA Output-Post Hoc Comparisons
SPSS Factorial ANOVA Output- Plots SPSS Factorial ANOVA Output- Plots
InterpretationInterpretation• 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
QUESTIONS??QUESTIONS??