Exam 11: A: Factorial Design: I Lost My Phone Number, Can I Borrow Yours Do Pickup Lines Really Work

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A two-way analysis of variance is a statistical test that permits researchers to simultaneously test how two separate nominal or categorical independent factors influence the dependent variable,and how those independent variables interact to influence the dependent variable.A t-test for dependent means is a statistic used to determine if there is a statistically significant difference between two related sets of scores.A two-way ANOVA will be able to test for any main or interaction effects and the t-test for dependent means simply tells researchers whether there is a significant difference between scores,but not necessarily where the significance specifically lies.

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A within-subjects factorial design requires that each participant receive all levels of all independent variables.This can lead to a higher likelihood of hypothesis-guessing as the participants would have more opportunities to speculate on the true purpose of a study.The within-subjects design helps control for individual variation among levels.A between-subjects factorial design necessitates that each participant only needs to receive one level of each independent variable.Between-subjects designs are sensitive to individual differences and are more difficult to control.

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Factorial designs have the benefit of being able to draw conclusions with regard to cause and effect.Many other designs do not allow causal relationships to be tested.In addition,factorial designs permit the testing of interaction affects,which mimics the real-life complex relationships among variables.