Today’s tutorial involves picking up a useful new weapon for your data analytic arsenal; one that I’ve used quite a bit over the past year of my graduate training. We’re going to look at a novel way of estimating & graphing interactions in the context of multiple regression (one that even extends to structural equation models), using my increasingly go-to program – Mplus. Note that the tips below have been tested in Mplus versions 6 and 7 effectively. Using these procedures in any earlier version is a total crap shoot — meaning I haven’t verified whether or not they work in version 5 or older — so bear that in mind.
The Correlation Tabulator is a tool I designed for use with SPSS. It will require you to run a set of Pearson correlations in SPSS, paste the correlation table output into the tabulator (if you follow the instructions, of course). It will then take those results and compile them into an APA-style correlation table (coefficients reported to two decimal places, with asterisks indicating significance levels), which you can copy and paste into Word or a similar program.