Going beyond composites: Conducting a factor-based PLS-SEM analysis
Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications
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 compositefactor 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.AMonte Carlo experiment suggests thatmodel 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.
Kock, Ned, "Going beyond composites: Conducting a factor-based PLS-SEM analysis" (2017). Business Faculty Publications. 58.