Abstract

Confirmatory composite analysis (CCA; Hair et al. 2018, Chapter 13; Hair et al., 2020; Henseler and Schuberth, 2020; Schuberth et al., 2018) is a series of steps that can be executed with composite-based SEM methods such as PLS-SEM or GSCA to confirm both reflective and formative measurement models within a specific nomological network (for a CCA introduction and distinction of different views on CCA, see Crittenden et al., 2020).

SmartPLS fully supports the execution of CCA in PLS-SEM; see for example Ciavolino et al. (2022).

References

• Ciavolino, E., Ferrante, L., Sternativo, G. A., Cheah, J.-H., Rollo, S., Marinaci, T., & Venuleo, C. (2022). A Confirmatory Composite Analysis for the Italian Validation of the Interactions Anxiousness Scale: A Higher-order Version. Behaviormetrika, 49(1), 23-46.

• Crittenden, V., Sarstedt, M., Astrachan, C., Hair, J., and Lourenco C. E. (2020). Guest Editorial: Measurement and Scaling Methodologies. Journal of Product & Brand Management, 29(4), 409-414.

• Hair, J. F., Black, W. C., Babin, B. J., and Anderson, R. E. (2018). Multivariate Data Analysis, 8th ed., Cengage: Mason, OH.

• Hair, J. F., Howard, M. C., and Nitzl, C. (2020). Assessing Measurement Model Quality in PLS-SEM Using Confirmatory Composite Analysis. Journal of Business Research, 109, 101-110.

• Henseler, J. and Schuberth, F. (2020). Using Confirmatory Composite Analysis to Assess Emergent Variables in Business Research. Journal of Business Research, 120, 147-156.

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

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