In today’s episode, Greg and Patrick dig into Confirmatory Composite Analysis, a very clever way to get formative factors and their causal indicators into the traditional structural equation modeling framework, along with any other latent factors and their effect indicators that might already be in the model. Along the way they also discuss full-contact Wordle, being grounded, spelling bees, state capitals, definitions of leadership, a many ways, rabbit or duck, set of steak knives, canonical correlation vs. Homer Simpson, secret sauce, Quantitude Word of the Day, Who’s a good boy?, the man behind the curtain, Penn and Tellering, a new symbol, Beavis, and car stereo wiring diagrams.
Related Episodes
S5E07 Perspectives on Formative Factors & Causal Indicators
S5E06 Advanced Factor Structures
S2E21 Yes, Virginia…There ARE Latent Variables
S1E22 Factor Analysis: The Good, The Bad, & The Ugly
Suggested Readings
Henseler, J. (2020). Composite-based structural equation modeling: Analyzing latent and emergent variables. Guilford Publications.
Henseler, J., & Schuberth, F. (2020). Using confirmatory composite analysis to assess emergent variables in business research. Journal of Business Research, 120, 147-156.
Hubona, G. S., Schuberth, F., & Henseler, J. (2021). A clarification of confirmatory composite analysis (CCA). International Journal of Information Management, 61, 102399.
Ogasawara, H. (2007). Asymptotic expansions of the distributions of estimators in canonical correlation analysis under nonnormality. Journal of Multivariate Analysis, 98(9), 1726-1750.
Schuberth, F. (2021). Confirmatory composite analysis using partial least squares: setting the record straight. Review of Managerial Science, 15(5), 1311-1345.
Schuberth, F. (2023). The Henseler-Ogasawara specification of composites in structural equation modeling: A tutorial. Psychological Methods, 28(4), 843.
Schuberth, F., Henseler, J., & Dijkstra, T. K. (2018). Confirmatory composite analysis. Frontiers in psychology, 9, 2541.
Yu, X., Schuberth, F., & Henseler, J. (2023). Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara Specification. Statistical Analysis and Data Mining: The ASA Data Science Journal, 16(4), 348–357.