S4E21 Exploratory Structural Equation Modeling


In this week’s episode Greg and Patrick talk about exploratory structural equation modeling (or ESEM), a technique drawing upon the strengths of exploratory and confirmatory factor analysis methods and able to be embedded within structural equation models. Along they way they also discuss crab vs. crabs, Most Dangerous Catch, Next Day Blinds, smash-and-grab, sharp pencils, opening the barn doors, stinking badges, all hat and no cattle, control issues, quieting the Irishmen, oxymorons, selling factor analysis on Ebay, living with mom or dad, going higgly-piggly, and treats for the mole.

Related Episodes

S2E21: Yes, Virginia… There ARE Latent Variables

S1E22: Factor Analysis — The Good, The Bad, & The Ugly

S1E14: Model Fit & The Curse of the Black Pearl

S1E6: Model Modification and Whac-a-Mole

Suggested Readings

Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal16(3), 397-438.

Guo, J., Marsh, H. W., Parker, P. D., Dicke, T., Lüdtke, O., & Diallo, T. M. (2019). A systematic evaluation and comparison between exploratory structural equation modeling and Bayesian structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal26(4), 529-556.

Mai, Y., Zhang, Z., & Wen, Z. (2018). Comparing exploratory structural equation modeling and existing approaches for multiple regression with latent variables. Structural Equation Modeling: A Multidisciplinary Journal25(5), 737-749.

Marsh, H. W., Liem, G. A. D., Martin, A. J., Morin, A. J., & Nagengast, B. (2011). Methodological measurement fruitfulness of exploratory structural equation modeling (ESEM): New approaches to key substantive issues in motivation and engagement. Journal of Psychoeducational Assessment29(4), 322-346.

Marsh, H. W., Morin, A. J., Parker, P. D., & Kaur, G. (2014). Exploratory structural equation modeling: An integration of the best features of exploratory and confirmatory factor analysis. Annual Review of Clinical Psychology10, 85-110.

Marsh, H. W., Muthén, B., Asparouhov, T., Lüdtke, O., Robitzsch, A., Morin, A. J., & Trautwein, U. (2009). Exploratory structural equation modeling, integrating CFA and EFA: Application to students’ evaluations of university teaching. Structural Equation Modeling: A Multidisciplinary Dournal16(3), 439-476.

Morin, A. J., Arens, A. K., & Marsh, H. W. (2016). A bifactor exploratory structural equation modeling framework for the identification of distinct sources of construct-relevant psychometric multidimensionality. Structural Equation Modeling: A Multidisciplinary Journal23(1), 116-139


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