Introduction to advanced partial least squares path modeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Social Sciences,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s11135-023-01706-8.pdf
Reference7 articles.
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2. Chin, W., Cheah, J.H., Liu, Y., Ting, H., Lim, X.J., Cham, T.H.: Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research. Industrial Manage. Data Syst. 120(12), 2161–2209 (2020)
3. Ciavolino, E., Aria, M., Cheah, J.H., et al.: A tale of PLS Structural equation modelling: Episode I—a Bibliometrix Citation Analysis. Soc. Indic. Res. 164, 1323–1348 (2022a)
4. Ciavolino, E., Ferrante, L., Sternativo, G.A., Cheah, J.H., Rollo, S., Marinaci, T., Venuleo, C.: A confirmatory composite analysis for the Italian validation of the interactions anxiousness scale: a higher-order version. Behaviormetrika49(1), 23–46 (2022). (2022b)
5. Hair, J.F., Hult, G.T., Ringle, C.M., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd Edition). Sage (2022)
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