Three Way Repeated Measures Anova. Remove phase as a factor. As such it extends the two-way repeated measures ANOVA which is used to determine if such an interaction exists between just two within-subjects factors. The five different cases are as follows. The three-way ANOVA is used to determine if there is an interaction effect between three independent variables on a continuous dependent variable ie if a three-way interaction exists.
This model is suitable for complex single-group fMRI designs. The main goal of two-way and three-way repeated measures ANOVA is respectively to evaluate if there is a statistically significant interaction effect between two and three within-subjects factors in explaining a continuous outcome variable. Measuring the mean scores of subjects under three different conditions. Leave group as a between-subjects factor. Then return to the main Repeated Measures dialog box and Define as the within-subjects variables c1p2 c2p2 c3p2 and c4p2. I have been having some difficulties trying to run a three-way repeated measures anova.
Measuring the mean scores of subjects under three different conditions.
As such it extends the two-way repeated measures ANOVA which is used to determine if such an interaction exists between just two within-subjects factors. The three-way ANOVA is used to determine if there is an interaction effect between three independent variables on a continuous dependent variable ie if a three-way interaction exists. Say for example that a bc interaction differs across various levels of factor a. Three-Factors Repeated Measures ANOVA. I have made several attempts to try and run this successfully have read the FAQ on repeated measures past forum posts the Stata manual and the help. The three-way repeated measures ANOVA is used to determine if there is a statistically significant interaction effect between three within-subjects factors on a continuous dependent variable ie if a three-way interaction exists.