PSYC 2030 Lecture Notes - Lecture 6: Emor, Quasi, E.G. Time
4 Jan 2016
School
Department
Course
Professor
Document Summary
Outline: factorial designs, main effects, interactions, data analysis, mixed factorial designs, quasi-experiments. Level: -independent variable & factor are interchangeable terms, variation in the variable that we"re studying. Every level that is tested in an experiment is a condition. When we"re dealing with single factor design, level and conditions start to come apart. When each level of a variable gets tested. 2 basic forms of experimental design: within-subjects designs, between-subjects designs. Factorial design: any study with more than one independent variable: each digit in the system represents an independent variable, the digit"s numerical value indicates the number of levels for that. Column mean #2 (4-sec) = 20. 5: this would be an example of a study which has 2 main effects (presentation rate & imagery) Interactions *: - the star of the show, - what makes factorial designs interesting, when the effect of one independent variable depends on the level of another independent variable (258, means: each of the columns & rows.
