PSYC 305 Lecture Notes - Lecture 9: Repeated Measures Design, Factorial Experiment, Complement Factor B

• School: McGill University
• Department: Psychology
• Course: PSYC 305
• Professor: Heungsun Hwang

Document Summary

Isolate factor a from b to gather the. Recall: independent samples t-test: 2 groups, 1 factor, 2 levels to the factor, want to test h0: 1- 2. Recall: one-way anova: 1 factor with 2 or more levels (up to k) These concern the main effect of factor a, factor b, and the interaction between the two. You could also have 2x2 design 4 different combinations that people could receive: could have people that go through a1b1, a1b2, a2b1, a2b1. 3x3 factorial design 9 possible combinations of the treatments. If you have 1 factor has 2 levels and the other factor has 3 levels 2x3 factorial design. We assume independent samples/between-subjects design: where individuals do not go through multiple conditions subjects only serve in 1 treatment condition. Balanced design: if the sample sizes are equal in each condition. Recall: it is possible to have a one-way anova with repeated measures design, but it also works for independent samples design.