PSYC 2320 Lecture Notes - Lecture 13: Factorial Experiment, John Tukey, Analysis Of Variance

• School: Northeastern University
• Department: Psychology
• Course: PSYC 2320
• Professor: Robert Cole Eidson

Document Summary

We can also test hypotheses about two independent variables, at the same time! Example: gender and social situation, their effects on willingness to volunteer. Ultimately comparing 3+ groups we"re comparing (cells) Need to determine which means are significantly different (by comparing with tukey. Pro: more efficient than one way anova (look at impact of multiple ivs in one study) Level: specific value that a factor can take on (our situation has 2 levels alone/in class and men/women) Cell: single group of participants in factorial design (condition) Write as 2 x 2 factorial anova = one type of two way anova. 2(gender: male, female) x 2(situation: alone, in class) 2(gender: male, female) x 3(situation: alone, in class, with friends) Column effects how does v1 affect dv. Row effects how does v2 affect dv. Column and row effects are called main effects. Interaction effect requires you to look at meat of your table. Effects don"t change based on other variable.