PSYC 217 Lecture Notes - Lecture 13: Dependent And Independent Variables
Document Summary
Learning objectives: explain a benefit of factorial designs. Interpret main effects and interaction from a graph and a table: explain an interaction effect using simple main effects. They have 2 factors = 2 independent variables: this means that there are 2 manipulated independent variables, or there is one manipulated variable and one non-manipulated variable. This is an example of a ivpv = independent variable/participant variable. Statistical interaction refers to how the effects of one factor are dependent on the another factor. Dire(cid:272)tor (cid:271)ought a dog, a (cid:272)ute dog a(cid:374)d si(cid:374)(cid:272)e he"s a resear(cid:272)her, he wanted to research the best way to train a dog. Grabbed many dogs (80) from various shelters around the area. The first independent variable is the command he told half the dogs to sit and told the other half nothing. The second independent variable is the presence of food he gave half the dogs treats when and the other half no treats.
