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Estimation issues with PLS and CBSEM: Where the bias lies!

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  • Sarstedt, Marko
  • Hair, Joseph F.
  • Ringle, Christian M.
  • Thiele, Kai O.
  • Gudergan, Siegfried P.

Abstract

Discussions concerning different structural equation modeling methods draw on an increasing array of concepts and related terminology. As a consequence, misconceptions about the meaning of terms such as reflective measurement and common factor models as well as formative measurement and composite models have emerged. By distinguishing conceptual variables and their measurement model operationalization from the estimation perspective, we disentangle the confusion between the terminologies and develop a unifying framework. Results from a simulation study substantiate our conceptual considerations, highlighting the biases that occur when using (1) composite-based partial least squares path modeling to estimate common factor models, and (2) common factor-based covariance-based structural equation modeling to estimate composite models. The results show that the use of PLS is preferable, particularly when it is unknown whether the data's nature is common factor- or composite-based.

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  • Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:10:p:3998-4010
    DOI: 10.1016/j.jbusres.2016.06.007
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    1. John Antonakis & Samuel Bendahan & Philippe Jacquart & Rafael Lalive, 2010. "On making causal claims : A review and recommendations," Post-Print hal-02313119, HAL.
    2. Wickens, Michael R, 1972. "A Note on the Use of Proxy Variables," Econometrica, Econometric Society, vol. 40(4), pages 759-761, July.
    3. Diamantopoulos, Adamantios & Riefler, Petra & Roth, Katharina P., 2008. "Advancing formative measurement models," Journal of Business Research, Elsevier, vol. 61(12), pages 1203-1218, December.
    4. Coltman, Tim & Devinney, Timothy M. & Midgley, David F. & Venaik, Sunil, 2008. "Formative versus reflective measurement models: Two applications of formative measurement," Journal of Business Research, Elsevier, vol. 61(12), pages 1250-1262, December.
    5. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    6. Anonymous, 2015. "Notes from the Editors," American Political Science Review, Cambridge University Press, vol. 109(2), pages 1-1, May.
    7. Anonymous, 2015. "Notes from the Editors," American Political Science Review, Cambridge University Press, vol. 109(4), pages 1-1, November.
    8. Peter Schönemann & Ming-Mei Wang, 1972. "Some new results on factor indeterminacy," Psychometrika, Springer;The Psychometric Society, vol. 37(1), pages 61-91, March.
    9. Michel Tenenhaus, 2011. "Regularized generalized canonical correlation analysis," Post-Print hal-00578321, HAL.
    10. Theo Dijkstra & Jörg Henseler, 2011. "Linear indices in nonlinear structural equation models: best fitting proper indices and other composites," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(6), pages 1505-1518, October.
    11. Baxter, Roger, 2009. "Reflective and formative metrics of relationship value: A commentary essay," Journal of Business Research, Elsevier, vol. 62(12), pages 1370-1377, December.
    12. Arthur Tenenhaus & Michel Tenenhaus, 2011. "Regularized Generalized Canonical Correlation Analysis," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 257-284, April.
    13. Sarstedt, Marko & Wilczynski, Petra & Melewar, T.C., 2013. "Measuring reputation in global markets—A comparison of reputation measures’ convergent and criterion validities," Journal of World Business, Elsevier, vol. 48(3), pages 329-339.
    14. Rigdon, Edward E., 2016. "Choosing PLS path modeling as analytical method in European management research: A realist perspective," European Management Journal, Elsevier, vol. 34(6), pages 598-605.
    15. Michel Tenenhaus & Arthur Tenenhaus, 2011. "Regularized Generalized Canonical Correlation Analysis," Post-Print hal-00609220, HAL.
    16. Edward E. Rigdon & Jan-Michael Becker & Arun Rai & Christian M. Ringle & Adamantios Diamantopoulos & Elena Karahanna & Detmar W. Straub & Theo K. Dijkstra, 2014. "Conflating Antecedents and Formative Indicators: A Comment on Aguirre-Urreta and Marakas," Information Systems Research, INFORMS, vol. 25(4), pages 780-784, December.
    17. Monecke, Armin & Leisch, Friedrich, 2012. "semPLS: Structural Equation Modeling Using Partial Least Squares," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i03).
    18. Anonymous, 2015. "Notes from the Editors," American Political Science Review, Cambridge University Press, vol. 109(3), pages 1-1, August.
    19. Astrachan, Claudia Binz & Patel, Vijay K. & Wanzenried, Gabrielle, 2014. "A comparative study of CB-SEM and PLS-SEM for theory development in family firm research," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 116-128.
    20. Dirk Temme & Adamantios Diamantopoulos & Vanessa Pfegfeidel, 2014. "Specifying Formatively-measured Constructs In Endogenous Positions In Structural Equation Models: Caveats and Guidelines For Researchers," Schumpeter Discussion Papers SDP14005, Universitätsbibliothek Wuppertal, University Library.
    21. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
    22. Gelhard, Carsten & von Delft, Stephan, 2016. "The role of organizational capabilities in achieving superior sustainability performance," Journal of Business Research, Elsevier, vol. 69(10), pages 4632-4642.
    23. Anonymous, 2015. "Notes from the Editors," American Political Science Review, Cambridge University Press, vol. 109(1), pages 1-1, February.
    24. Lee, Nick & Cadogan, John W., 2013. "Problems with formative and higher-order reflective variables," Journal of Business Research, Elsevier, vol. 66(2), pages 242-247.
    25. Chang, Woojung & Franke, George R. & Lee, Nick, 2016. "Comparing reflective and formative measures: New insights from relevant simulations," Journal of Business Research, Elsevier, vol. 69(8), pages 3177-3185.
    26. Temme, Dirk & Diamantopoulos, Adamantios & Pfegfeidel, Vanessa, 2014. "Specifying formatively-measured constructs in endogenous positions in structural equation models: Caveats and guidelines for researchers," International Journal of Research in Marketing, Elsevier, vol. 31(3), pages 309-316.
    27. Reinartz, Werner & Haenlein, Michael & Henseler, Jörg, 2009. "An empirical comparison of the efficacy of covariance-based and variance-based SEM," International Journal of Research in Marketing, Elsevier, vol. 26(4), pages 332-344.
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