The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses!
Open accessAbstract
Mediation and conditional process analyses have become popular approaches for examining the mechanisms by which effects operate and the factors that influence them. To estimate mediation models, researchers often augment their structural equation modeling (SEM) analyses with additional regression analyses using the PROCESS macro. This duality is surprising considering that research has long acknowledged the limitations of regression analyses when estimating models with latent variables. In this article, we argue that much of the confusion regarding SEM’s efficacy for mediation analyses results from a singular focus on factor-based methods, and there is no need for a tandem use of SEM and PROCESS. Specifically, we highlight that composite-based SEM methods overcome the limitations of both regression and factor-based SEM analyses when estimating even highly complex mediation models. We further conclude that composite-based SEM methods such as partial least squares (PLS-SEM) are the preferred and superior approach when estimating mediation and conditional process models, and that the PROCESS approach is not needed when mediation is examined with PLS-SEM.
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Cites
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Assessing measurement model quality in PLS-SEM using confirmatory composite analysis
Hair, J. F., Howard, M. C., & Nitzl, C. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2019.11.069 · Cited by 5,446
Self-citationPredictive model assessment in PLS-SEM: guidelines for using PLSpredict
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019) · European Journal of Marketing · doi:10.1108/ejm-02-2019-0189 · Cited by 4,618
Self-citationCommon Beliefs and Reality About PLS: Comments on Rönkkö and Evermann (2013)
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) · Organizational Research Methods · doi:10.1177/1094428114526928 · Cited by 3,332
Self-citationHair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-017-0517-x · Cited by 2,712
Self-citationSpencer, S. J., Zanna, M. P., & Fong, G. T. (2005) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.89.6.845 · Cited by 2,452
Rethinking some of the rethinking of partial least squares
Hair, J. F., Sarstedt, M., & Ringle, C. M. (2019) · European Journal of Marketing · doi:10.1108/ejm-10-2018-0665 · Cited by 1,839
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“Another issue is the interaction effects are typically small compared with the direct effects, thereby reducing the statistical power to detect interactions (Aguinis et al., 2005; Murphy & Russell, 2017).”
BackgroundTesting Interaction Effects in LISREL: Examination and Illustration of Available Procedures
Cortina, J. M., Chen, G., & Dunlap, W. P. (2001) · Organizational Research Methods · doi:10.1177/109442810144002 · Cited by 512
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Self-citationHair, J., & Alamer, A. (2022) · Research Methods in Applied Linguistics · doi:10.1016/j.rmal.2022.100027 · Cited by 2,833
Self-citationPartial Least Squares Structural Equation Modeling
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2022) · Handbook of Market Research · doi:10.1007/978-3-319-57413-4_15 · Cited by 1,483
Self-citationPartial Least Squares Structural Equation Modeling
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021) · Handbook of Market Research · doi:10.1007/978-3-319-05542-8_15-2 · Cited by 876
Self-citationExecuting and interpreting applications of PLS-SEM: updates for family business researchers
Hair, J. F., Astrachan, C. B., Moisescu, O. I., Radomir, L., Sarstedt, M., Vaithilingam, S., & Ringle, C. M. (2021) · Journal of Family Business Strategy · doi:10.1016/j.jfbs.2020.100392 · Cited by 860
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Metadata
- Authors
- Sarstedt, M., Hair, J. F., Nitzl, C., Ringle, C. M., & Howard, M. C.
- Venue
- International Journal of Market Research
- Publisher
- SAGE Publications
- Published
- 2020-04-26
- Volume
- 62
- Issue
- 3
- Pages
- 288-299
- ISSN
- 1470-7853 (ISSN-L)
- 2515-2173
- OpenAlex
- W3018428404
- Cited by
- 898
- References
- 10
- FWCI
- 53.54
- Type
- journal article
- Language
- en
- Open access
- green
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