Simple Slopes and Johnson-Neyman Probing Methods Extended to Two-Condition within-Subject Designs

For two-condition within-subject designs, this research generalizes the simple slopes and Johnson-Neyman technique to probing interactions between a within-subject factor and a stable covariate and generalizes to multiple moderator models. I have created a macro for SPSS and SAS to simplify computations and facilitate implementation by researchers.