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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. One of the most fundamental issues in PLS-S E M is that of Minimum sample size estimation .

Comparison methods for minimum sample size estimation In this section we discuss three methods for minimum sample size estimation in PLS-SEM that we use as a basis for comparison when we evaluate our proposed methods. The first method presented here relies on Monte Carlo simulations (Paxton et al., 2001; Robert & Casella, 2013). ...

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  Comparison, Methods, Estimation, Comparison methods

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