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 pans, movie fails, being otherwise sophisticated, beer bongs, witches, third grade math, emails from PETA, glorious histories, hairy eyeballs, and who do I see about that.

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马晓橙

纸上河流-山月

Remember Everything You Learn from Podcasts