Factorial ANOVA 20

# Factorial ANOVA 20 - Factorial ANOVA Independent t-test One IV(Independent Variable Two levels of the IV(two groups Gender 1= Male 2 = Female Major

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Factorial ANOVA

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Independent t-test One IV (Independent Variable) Two levels of the IV (two groups) Gender 1= Male; 2 = Female Major 1 = Computer Science, 2 = Nursing Personality (1-15 scale used to create two categories) 1 = Introvert (1-7) , 2 = Extrovert (8-15) Age (years; young and old categories) 1 = Young (19-29), 2 = Old (50-60) Race 1 = Majority, 2 = Minority Vignette (“Amy” example) 1 = Very Positive, 2 = Very Negative Candy Bars 1 = Milky Way, 2 = Snickers
One-way ANOVA One IV (Independent Variable) Three or more levels of the IV (three or more groups) Gender 1= Male; 2 = Female; 3 = Transidentified Major 1 = Computer Science, 2 = Nursing, 3 = Psychology Personality (1-15 scale used to create three categories) 1 = Introvert (1-5) , 2 = Extrovert (10-15), 3 = Neither (6-9) Age (years; young,old, and middle categories) 1 = Young (19-29), 2 = Old (50-60), 3 = Middle (30-49) Race 1 = Majority, 2 = African-American, 3 = Hispanic Vignette (“Amy” example) 1 = Very Positive, 2 = Very Negative, 3 = Slightly Positive, 4 = Slightly Negative Candy Bars 1 = Milky Way, 2 = Snickers, 3 = Three Musketeers

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Factorial ANOVA Two or More IV’s (Independent Variables) Two or more levels of the IV’s (four or more groups) Use this design and this analysis when you think there is something special about the combination of IV’s Interaction hypothesis
Factorial ANOVA Examples Gender and Major 1= Male; 2 = Female 1 = Computer Science, 2 = Nursing, 3 = Psychology Personality (1-15 scale) and Age (years) 1 = Introvert (1-5) , 2 = Extrovert (10-15), 3 = Neither (6-9) 1 = Young (19-29), 2 = Old (50-60), 3 = Middle (30-49) Gender and Vignettes 1 = Male, 2 = Female 1 = Very Positive, 2 = Very Negative, 3 = Slightly Positive, 4 = Slightly Negative

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2x3 Factorial ANOVA (2x3 = 6 groups) Gender and Major: 1= Male ; 2 = Female • 1 = Computer Science, 2 = Nursing , 3 = Psychology DV = Salary (in 1000’s) Interaction Hypothesis: There is something special about being a male nursing major . The salary will be different for the male nursing majors than for the other groups Male Nursing Major (sample 1) Female Nursing Major (sample 2) Male CS Major (sample 3) Female CS Major (sample 4) Male Psych Major (sample 5) Female Psych Major (sample 6) Males Females Nursing Majors CS Majors Psych Majors
3x3 Factorial ANOVA (3x3 = 9 groups) Personality (1-15 scale) and Age (years) 1 = Introvert (1-5) , 2 = Extrovert (10-15 ), 3 = Neither (6-9) 1 = Young (19-29), 2 = Old (50-60), 3 = Middle (30-49) DV = Attitudes toward Internet Dating Interaction Hypothesis: There is something special about being an

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## This note was uploaded on 05/26/2011 for the course PSCH 343 taught by Professor Victoriaharmon during the Spring '11 term at Ill. Chicago.

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Factorial ANOVA 20 - Factorial ANOVA Independent t-test One IV(Independent Variable Two levels of the IV(two groups Gender 1= Male 2 = Female Major

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