S4E06 Building the Model You Want: With Laser Cannons!


In this week’s episode Greg and Patrick talk about the frequent gap between research questions and methods and ways to think about reengineering your variables, your parameters, or your entire model to help get what you want. Along the way they also discuss living in the dorms, Greek god sculpture rockets, not living in the dorms, Christmas tree timers, Def Leppard, Legos, Annie’s flower shop, laser cannons, chin music, the tail wagging the dog, a zero on the SAT, the Millennium Falcon, Greenday, stupid human tricks, Tony Robbins, Steward Smalley, and Iron Man.

Lightly Edited Transcript

We provide a lightly-edited and obviously imperfect audio transcript of the episode available here. This is not an exact representation of the audio, but does provide a searchable document with identified speakers and associated time stamps.

Related Episodes

S1E12: Measurement (Non)Invariance — Can We Ever Fail to Not Incorrectly Reject It?

S2E07: Moderation — Well, It Depends

S2E30: ‘Always Center Your Predictors!’ And Other Sh*t My Advisor Says

S2E23: Research Questions About Variability

S2E08: Mediation and the Art of Squid Spleening

S2E07: Moderation — Well, It Depends

Suggested Readings

Aiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: Testing and interpreting interactions. Sage.

Bauer, D. J., & Curran, P. J. (2005). Probing interactions in fixed and multilevel regression: Inferential and graphical techniques. Multivariate Behavioral Research40, 373-400.

Cohen, J. (1978). Partialed products are interactions; partialed powers are curve components. Psychological Bulletin85, 858.

Curran, P. J., Bauer, D. J., & Willoughby, M. T. (2004). Testing main effects and interactions in latent curve analysis. Psychological Methods9, 220.

Preacher, K. J., & Hancock, G. R. (2012). On interpretable reparameterizations of linear and nonlinear latent growth curve models. In J. R. Harring & G. R. Hancock (Eds.), Advances in longitudinal methods in the social and behavioral sciences (pp. 25-58). Charlotte, NC: Information Age Publishing, Inc.

Preacher, K. J., & Hancock, G. R. (2015). Meaningful aspects of change as novel random coefficients: A general method for reparameterizing longitudinal models. Psychological Methods, 20, 84-101.

Rogosa, D. (1980). Comparing nonparallel regression lines. Psychological Bulletin88, 307.


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