Introduction to factorial research designs

12-1: Understand differences between the single-factor research design and factorial research designs.

12-2: Understand advantages and disadvantages of factorial research designs compared with the single-factor research design.

12-3: Define an interaction effect between independent variables.

12-4: Identify the presence or absence of an interaction effect between independent variables.

12-5: Understand the relationship between main effects and interaction effects.

Inferential statistics: Two-way analysis of variance (ANOVA)

12-6: Understand what the letters A and B represent in an “A x B factorial research design”.

12-7: Understand what between-group variance and within-group variance are comprised of in the two-factor research design.

12-8: Understand the three sets of statistical hypotheses in a two-factor research design.

12-9: Understand why is the word ‘Error’ is included in an ANOVA summary table.

12-10: Calculate and interpret between-group variance, within-group variance, and the F-ratios (F) for the two-way ANOVA, create an ANOVA summary table, and calculate measures of effect size (R2).

Investigating a significant A x B interaction effect: Analysis of simple effects 

12-11: Understand what conclusion can be drawn (and not drawn) from a significant A x B interaction.

12-12: Understand the difference between a main effect and a simple effect.

12-13: Understand the purpose of analyzing simple effects in the A x B research design.