These references are a mix of starting points, interesting notes, and more authoritative sources.

Robust SE

Fixed effects and ‘panel’ data models

  • Wooldridge. (2016). Introductory Econometrics: A Modern Approach (6e). link
  • Wooldridge. (2010). Econometric Analysis of Cross Section and Panel Data (2e). link
  • Baltalgi. (2005). Econometric Analysis of Panel Data (3e). link

Mixed models

  • My documents and workshop notes.
  • Gelman & Hill. (2006). Data Analysis Using Regression and Multilevel/Hierarchical Models. link
  • Pinheiro & Bates. (2000). Mixed-Effects Models in S and S-PLUS. link
  • Fahrmeier et al. (2013). Regression. link
  • West et al. (2014). Linear Mixed Models: A Practical Guide Using Statistical Software (2e). link


To be honest I can’t speak to this reference from experience, though I’ve read and would recommend Hardin and Hilbe’s GLM book, and this is a similar approach (applied with Stata examples).

  • Hardin & Hilbe (2013). Generalized Estimating Equations. link

Growth Curve Models

  • Kline. (2015). Principles and Practice of Structural Equation Modeling. link

  • My SEM notes

Survey Analysis


  • Gardiner et al. (2009). Fixed effects, random effects, and GEE: What are the differences? Statistics in Medicine. link

  • Bell & Jones. (2015) Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data. link

  • Bell & Jones. (2016) Fixed and Random effects: making an informed

  • R mixed list FAQ. Old but still has useful information. link