In this week’s episode Greg and Patrick take advantage of a recent expiration of a statute of limitations that legally allows them to talk about the multilevel model: what it is, when we might use it, and extremely cool extensions that it allows. Along the way they also discuss hostile federal judges, McNeish, airing of grievances, Gauss and Markov’s corpses, Sesame Street, distributional baguettes, naivete, sentient GLMs, two pencil necks, Thor’s Hammer, Willy Sutton, Siren’s Song, peer groups of two, fighting good for an old guy, crazy town cool, 50 ducks, conceding a battle, and blushing corpses.
Related Episodes
- S4E09: Intensive Longitudinal Data: Be Careful What You Wish For
- S2E30: ‘Always Center Your Predictors!’ And Other Sh*t My Advisor Says
- S2E29: Multilevel Models: The Often Unnecessary Green Monster
- S2E26: MLM vs. SEM: Opportunities for Growth
Suggested Readings
Goldstein, H. (1995). Multilevel Statistical Models. (2nd Ed.). New York: Wiley.
Raudenbush, S. W. and Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods (2nd Ed.). Newbury Park, CA: Sage Publications, Inc.
Hox, J. (2002). Multilevel Analysis: Techniques and Applications. Mahwah, NJ: Erlbaum.
Kreft, I. and de Leeuw, J. (1998). Introduction to Multilevel Modeling. London: Sage.
Snijders, T. and Bosker, R. (2011). Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling, Second Edition. London: Sage.
Software-Specific Tutorials
Finch, W. H., Bolin, J. E., & Kelley, K. (2019). Multilevel modeling using R. CRC Press.
Peugh, J.L., & Enders, C.K. (2005). Using the SPSS mixed procedure to fit cross-sectional and longitudinal multilevel models. Education and Psychological Measurement, 65, 717-741.
Rabe-Hesketh, S. & Skrondal, A. (2012). Multilevel and longitudinal modeling using Stata (3rd Ed.) College Station, TX: Stata Press.
Singer, J.D. (1998). Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models. Journal of Educational and Behavioral Statistics, 23, 323-355.