Measures, R code & datasets

R code & datasets

Dyadic Data Analysis — R companion

Executable R code for every chapter of Kenny, Kashy, & Cook (2006), Dyadic Data Analysis. Hosted on GitHub.

• Ch. 1 — Data structures & conversion
• Ch. 2 — Intraclass correlation
• Ch. 3 — Between/within dyad variables, differencing
• Ch. 4 — Multilevel modeling
• Ch. 5 — SEM for indistinguishable dyads
• Ch. 6 — Variance/correlation equality, latent variables
• Ch. 7 — Actor–Partner Interdependence Model (APIM)
• Ch. 8 — Social Relations Model (uni- & bivariate)
• Ch. 9 — Family SRM
• Ch. 10 — One-with-many reciprocal designs
• Ch. 11 — Social network analysis

See also Randi Garcia & David Kenny's Dyadic Data Analysis workshop.