Factorial ANOVA

Description: Factorial ANOVA is used to test the relationship between two or more independent variables and a single dependent measure. The dependent measure is assumed continuous, whereas the independent variables are categorical. In addition to testing the main effects of each independent variable in the model, factorial ANOVA incorporates tests of interaction effects that allow researchers to test for evidence of statistical moderation. The model makes standard assumptions concerning independence of observations, normality, and homoskedasticity. 

2022 & 2023

Factorial ANOVA using SPSS version 29 (2023): video , SPSS data , Powerpoint 

Factorial ANOVA with simple effects tests SPSS version 28 (2022): video, SPSS data , Powerpoint 

2020

Factorial ANOVA using SPSS version 26 (February): video, SPSS data, Powerpoint (includes coverage of assumptions)

2019

Factorial ANOVA (SPSS version 25): Video, Powerpoint, SPSS data 

Managing problem in SPSS version 25 with Levene's test/Homogeneity test: video, SPSS data (The video covers a problem - https://developer.ibm.com/answers/questions/452772/unrecoverable-application-error-in-the-statistics-4/ - that can occur if you have not installed a "fix" - from IBM. It also provides a computational solution to obtaining Levene's test results)

Older videos and Powerpoints

Factorial ANOVA (Powerpoint), SPSS data (ex 1), SPSS data (ex 2)

Carrying out factorial ANOVA using SPSS (video), SPSS data file