Seven Deadly Sins of Dyadic Data Analysis. David A. Kenny. Introduction. Many of the sins to be described were common because we did not have the proper dyadic tools. Now that we have those tools, we need to avoid the following practices.
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David A. Kenny
2. Assuming that a statistically significant effect for one member of the dyad but not significant for the other implies that the effect varies across members
Y1 = aX1 + pX2 + E1
If a = p then
Y1 = 2a(X1+X2)/2 + E1
Readings: Chapter 15, pages 421-424 in Dyadic Data Analysis by Kenny, Kashy, and Cook
Thanks to Deborah Kashy for help in preparing these slides!