Does PLS Have Advantages for Small Sample Size or Non-Normal Data?

By Dale Goodhue, William Lewis, Ronald L. Thompson. MIS Q., 2012

769 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/50c95d371bb389574db22f3824c35dc096b8ee86

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In Analytical Chemistry

Citations in the corpus

ESTIMATING MODERATING EFFECTS IN PLS-SEM AND PLSc-SEM: INTERACTION TERM GENERATION*DATA TREATMENT (2018, methodology): “To illustrate the different approaches for generating the interaction term and data treatment, we draw on the simple corporate reputation model used in Hair et al. (2017; 2018). The goal of this model is to explain the effects of competence (COMP) and likeability (LIKE), representing the two dimensi”
An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research (2017, background): “These results suggest that hospitality researchers are more sensitive to sample size issues, which have been heatedly debated in the context of PLS-SEM (e.g., Goodhue et al., 2012; Hair et al., 2017d; Marcoulides et al., 2012).”
Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods (2018, methodology): “It was lower than .2, and thus well below the generally acceptable level of .8 for P < .05 (Cohen, 1988; 1992; Goodhue et al., 2012; Kock, 2016).”
Methods and Rule-of-Thumbs in The Determination of Minimum Sample Size When Appling Structural Equation Modelling: A Review (2020, methodology): “However, identification of the required minimum sample size for the PLS-SEM analysis is one of the fundamental and important issues which should be deeply considered by the researchers (Goodhue et al., 2012; Kock & Hadaya, 2018).”
On the adoption of partial least squares in psychological research: Caveat emptor (2015, background): “The issue of sample size and non-normal data is poorly understood (Dijkstra, 2010, sec. 3; Goodhue et al., 2012; Marcoulides & Chin, 2013; McIntosh et al., 2014; Rönkkö & Evermann, 2013), and PLS proponents have not addressed why the technique would be expected to work well in these scenarios.”
An empirical examination of continuous intention to use m-learning: An integrated model (2020, methodology): “Third, PLS-SEM analyzes the complete model as one unit rather than splitting it into pieces (Goodhue et al. 2012).”
Partial least squares structural equation modeling in HRM research (2020, methodology): “This finding is a cause for concern given recent calls to abandon the small sample size argument (Goodhue et al., 2012; Rigdon, 2016).”
Does Corporate Social Responsibility Affect Corporate Tax Aggressiveness (2015, methodology): “Because PLS is a regression based technique, it requires between five and ten cases for the most complex regression (Chin, 1998; Goodhue et al., 2012; Hair et al., 2011).”