Patrick and Greg talk about the potential advantages and disadvantages of alternative approaches to analyzing two time-point data. They discuss traditional models for raw and residualized change scores, and describe how each of these remains baked into the soul of contemporary models for repeated measures data. Along the way they also mention: 24 inch pizza […]
S3E04: Two Time Point Data: What Is Your Quest? Read More »
Greg and Patrick discuss Principal Components Analysis: what it is, what it absolutely isn’t, and what kind of cool things it can do in its own right. Along the way, they discuss Twinkle Twinkle Little Star, the division symbol, Spider Pig, croissants & skewers, doing a nickel in the big house, jumping the starter solenoid,
S3E03: Principal Components Analysis is your PAL Read More »
In this episode, Patrick leads Greg and the rest of us through the incredibly cool and powerful topic of regions of significance, a way to help unpack under what moderating conditions treatments and variable relations are statistically significant. Along the way, they also mention: parallelism, Olivia Newton-John, going to the wrong church, laws in Vermont,
S3E02: Johnson-Neyman Regions of Significance Read More »
