PSYC 305 Lecture Notes - Lecture 5: Random Assignment, Analysis Of Covariance, Exercise Intensity

• School: McGill University
• Department: Psychology
• Course: PSYC 305
• Professor: Matthew Dean Graham

Document Summary

Understand the characteristics and concepts underlying mixed anova. Compute and interpret the results (main effects and interaction) of mixed anova. Understand and evaluate the assumptions of mixed anova. Also called mixed plot design: a factorial design (more than 1 iv) If it has more than 2 ivs, at least one has to be within and at least one has to be between. Combination of between-group and repeated measures (within subjects) variables. 1 iv uses same participants (within factor) 1 iv uses different participants (between factors) Primary purpose is to determine if there is an interaction between the two factors on the dv. Study design example 2: between subjects factor that cant be assigned (ages, dv: stress level, within: time of unemployment. Study design example 3: time should really be exercise intensity because everyone will go through low, mild and high intensity.