Methodological Studies on Confirmatory Composite Analysis

Henseler, J. (2017). Bridging design and behavioral research with variance-based Structural Equation modeling. Journal of Advertising, 46(1), 178–192.

Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013). Organizational Research Methods, 17(2), 182–209.

Henseler, J., & Schuberth, F. (2020). Using confirmatory composite analysis to assess emergent variables in business research. Journal of Business Research, 120, 147–156.

Henseler, J. & Schuberth, F. (2021). Confirmatory composite analysis. In: Henseler, J., Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables, New York: Guilford Press, pp. 179-201.

Hubona, G. S., Schuberth, F., & Henseler, J. (2021). A clarification of confirmatory composite analysis (CCA). International Journal of Information Management, 61, 102399.

Schuberth, F., Henseler, J., & Dijkstra, T. K. (2018). Confirmatory Composite Analysis. Frontiers in Psychology, 9(2541).

Schuberth, F. (2021). Confirmatory composite analysis using partial least squares: Setting the record straight. Review of Managerial Science, 15, 1311–1345.

Schuberth, F. (2022). The Henseler–Ogasawara specification of composites in structural equation modeling: A tutorial. Psychological Methods, in press

Schuberth, Florian; Zaza, Sam; Henseler, Jörg (accepted). Partial least squares is an estimator for structural equation models: A comment on Evermann and Rönkkö (2021). Communications of the Association for Information Systems.