Going Beyond Composites: Conducting a Factor-Based PLS-SEM Analysis

Ned Kock ()
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Ned Kock: Texas A&M International University, Division of International Business and Technology Studies

Chapter Chapter 3 in Partial Least Squares Path Modeling, 2017, pp 41-53 from Springer

Abstract: Abstract There has been a long and ongoing debate, at points resembling an acrimonious dispute, among proponents and detractors of the use of the partial least squares (PLS) approach for structural equation modeling (SEM). The composite-factor estimation dichotomy has been the epicenter of this debate. In this chapter, we briefly discuss the implementation of a new method to conduct factor-based PLS-SEM analyses, which could be a solid step in the resolution of this debate. This method generates estimates of both true composites and factors, in two stages, fully accounting for measurement error. Our discussion is based on an illustrative model in the field of e-collaboration. A Monte Carlo experiment suggests that model parameters generated by the method are asymptotically unbiased. The method is implemented as part of the software WarpPLS, starting in version 5.0. This chapter provides enough details for the method’s implementation in other venues such as R and GNU Octave.

Date: 2017
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DOI: 10.1007/978-3-319-64069-3_3

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