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-SEM is that of minimum sample size estimation. A widely used minimum sample size estimation method in PLS-SEM is the “10-times rule” method (Hair et al., 2011), which builds on the assumption that the sample size should be greater

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  Samples, Size, Sample size

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