Statistical test help - moderated regression or 3 way anova?

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Bruce Weaver Popular answer

Hello Amber. I have two suggestions.

Do not carve age into categories. Doing so will introduce an artificial step function such that everyone within an age group will have the same fitted value of Y. E.g., an 18-year old and a 30-year old will have the same fitted value, whereas a 31-year old will have a different fitted value. Why not treat age as continuous? You can introduce polynomial terms or splines etc. if necessary.

Given the longitudinal nature of the data, I suggest that you use a multilevel modelling approach with time points (at level 1) clustered within subjects (level 2). You have not said what software you use, but if it is SPSS, the command for such models is MIXED. You can find plenty of examples on the IDRE website at UCLA. Look for the textbook examples page for Singer & Willett's book on longitudinal data analysis, for example.

HTH.

Cristian Ramos-Vera

I recommend AMOS

https://www.youtube.com/watch?v=9Lk3ObsmZho&t=1006s

https://www.youtube.com/watch?v=glJhg_fxBag

https://www.youtube.com/watch?v=_TScypBh23c

If you want a simple regression-based model similar to PROCESS, JAMOVI can guide you.

Bruce Weaver

Holger Steinmetz

Hello Amber,

beyond the excellent advice you got from Bruce, perhaps considering a nonlinear GAMM model to model the perhaps nonlinear trajectory of people's personality changes, see

McKeown, G. J., & Sneddon, I. (2014). Modeling continuous self-report measures of perceived emotion using generalized additive mixed models. Psychological Methods, 19(1), 155–174.

Pedersen, E. J., Miller, D. L., Simpson, G. L., & Ross, N. (2019). Hierarchical generalized additive models in ecology: an introduction with mgcv. PeerJ, 7, e6876. doi:10.7717/peerj.6876

Suk, H. W., West, S. G., Fine, K. L., & Grimm, K. J. (2018). Nonlinear growth curve modeling using penalized spline models: A gentle introduction. Psychological Methods, 24(3), 269-290. doi:10.1037/met0000193

Mohr, C., Gross-Hemmi, M. H., Meyer, A. H., Wilhelm, F. H., & Schneider, S. (2019). Temporal patterns of infant regulatory behaviors in relation to maternal mood and soothing strategies. Child Psychiatry & Human Development, 50(4), 566-579. doi:10.1007/s10578-018-00862-5

Grimm, K. J., Ram, N., & Estabrook, R. (2016). Growth modeling: Structural equation and multilevel modeling approaches: Guilford Publications.

Best,

Holger