Advanced topics: Plotting Better Interactions using the Johnson-Neyman Technique in Mplus

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.

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Five essential contemporary[ish] reads for emerging social psychologists.

Every field has its landmark papers. You know – the real game changers. In our field, these are often synonymous with those papers that make their way inexorably into almost every single social psychology lecture across the globe (e.g., Milgram, 1963). The papers I’ve listed here are perhaps not quite in that league [yet!]. However, they are papers that I’ve come across in my travels through grad school, to which I’ve found myself returning again and again. Continue reading