PSYC 2001 Chapter 12: CHAPTER 12

• School: Carleton University
• Department: Psychology
• Course: PSYC 2001
• Professor: Deanna Whelan

Document Summary

Explain why researchers combine independent variables in a factorial design. Describe an interaction effect in both everyday terms and arithmetic terms. Identify and interpret the main effects and interactions from a factorial design. Interpretation: each variable could have an effect (or not) may or may not be doing anything. If there is an effect it ter(cid:373)ed (cid:858)(cid:373)ai(cid:374) effe(cid:272)t(cid:859: main effects ignore the other independent variable, however many independent variables there in the design = possible number of main effects. Cells: number of options, e. g. i(cid:374) the (cid:1006)(cid:454)(cid:1006) fa(cid:272)tor desig(cid:374) . Interaction: the effe(cid:272)t of o(cid:374)e (cid:448)aria(cid:271)le (cid:858)(cid:272)ha(cid:374)ges(cid:859) due to the other (cid:448)aria(cid:271)le ((cid:862)it depe(cid:374)ds(cid:863) situations, the (cid:858)pattern(cid:859) is differe(cid:374)t. Interactions lines are not parallel: parallel lines mean the pattern was not the same for both levels of the variable (i. e. no interaction) Lines are drawn by connecting dots by level (level 1a to level 1b and the same for level. 2)/ (blue to blue and pink to pink)