Transcription of Minimum sample size estimation in PLS-SEM: The inverse ...
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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 . The 10-times rule has been a favorite due to its simplicity of application, even though it tends to yield imprecise estimates.
bootstrapping (Diaconis & Efron, 1983; Efron et al., 2004). This algorithm and P value calculation method are by far the most widely used in PLS-SEM. Figure 1: The model in MBLC’s study with results The latent variables shown as ovals were measured reflectively through multiple indicators, primarily on Likert-type scales with 5 points.
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