Minimum sample size estimation in PLS-SEM: The inverse ...

1 Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods Ned Kock Pierre Hadaya Full reference: Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS SEM: The inverse square root and gamma exponential methods. Information Systems Journal, 28(1), 227 261. Abstract Partial least squares-based structural equation modeling (PLS-SEM) is extensively used in the field of information systems, as well as in many other fields where multivariate statistical methods are employed.

MBLC’s study focused on the impact that a cooperative learning strategy called collaborative elaboration, developed by educational psychologists, had on client learning and ultimately on short- and long-term outcomes in the context of IS design projects. Figure 1 shows the model that they used, with the main results of their analyses.

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