S5E06 Advanced Factor Structures


In today’s episode, Patrick and Greg talk about fun extensions to the basic confirmatory factor model, including higher order models, bifactor or residualized models, and multitrait-multimethod models. Along the way they also discuss microscope lab, burning ants, substitute teaching, Cool or Creepy?, Monet, Clueless, haystacks, hotdogs, What are you thinking?, pennies and pounds, party like it’s 1904, potluck freeloaders, lips and a**holes, promiscuous models, and shock absorbers.

Suggested Readings

Bauer, D. J., Howard, A. L., Baldasaro, R. E., Curran, P. J., Hussong, A. M., Chassin, L., & Zucker, R. A. (2013). A trifactor model for integrating ratings across multiple informants. Psychological methods18(4), 475.

Bonifay, W., Lane, S. P., & Reise, S. P. (2017). Three concerns with applying a bifactor model as a structure of psychopathology. Clinical Psychological Science5(1), 184-186.

Curran, P. J., Cole, V., Giordano, M., Georgeson, A. R., Hussong, A. M., & Bauer, D. J. (2018). Advancing the study of adolescent substance use through the use of integrative data analysis. Evaluation & the health professions41(2), 216-245.

Curran, P. J., Georgeson, A. R., Bauer, D. J., & Hussong, A. M. (2021). Psychometric models for scoring multiple reporter assessments: Applications to integrative data analysis in prevention science and beyond. International Journal of Behavioral Development45(1), 40-50.

Kenny, D. A., & Kashy, D. A. (1992). Analysis of the multitrait-multimethod matrix by confirmatory factor analysis. Psychological bulletin112(1), 165.

Marsh, H. W., Byrne, B. M., & Craven, R. (1992). Overcoming problems in confirmatory factor analyses of MTMM data: The correlated uniqueness model and factorial invariance. Multivariate behavioral research27(4), 489-507.

Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate behavioral research47(5), 667-696.

Reise, S. P., Kim, D. S., Mansolf, M., & Widaman, K. F. (2016). Is the bifactor model a better model or is it just better at modeling implausible responses? Application of iteratively reweighted least squares to the Rosenberg Self-Esteem Scale. Multivariate behavioral research51(6), 818-838.

Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Evaluating bifactor models: Calculating and interpreting statistical indices. Psychological methods21(2), 137.

Yung, Y. F., Thissen, D., & McLeod, L. D. (1999). On the relationship between the higher-order factor model nd the hierarchical factor model. Psychometrika64, 113-128.

Related Episodes

  • S3E06: Item Parcels: What Could Possibly Go Wrong?!
  • S2E21: Yes, Virginia…There ARE Latent Variables
  • S1E22: Factor Analysis: The Good, The Bad, & The Ugly
  • S1E12: Measurement (Non)Invariance: Can We Ever Fail to Not Incorrectly Reject It?

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