Editor's Comments: An Update and Extension to SEM Guidelines for Administrative and Social Science Research

By Gefen, Rigdon, Straub. 2011

1,388 citations recorded by the source corpus.

Subfields: Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/9541144f70eb5602445c5105324f9b0b37675746

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In Sociology and Political Science

Citations in the corpus

Common Beliefs and Reality About PLS (2014, background): “Moreover, while the lack of an overidentification test in PLS has repeatedly been criticized (e.g., Gefen et al., 2011; Hair et al., 2011), there is in fact no reason that prevents the testing of the discrepancy between the observed covariance matrix and PLS’s model-implied covariance matrix (and,…”
On the adoption of partial least squares in psychological research: Caveat emptor (2015, background): “Some PLS methodologists have explicitly recognized the evolving capabilities of SEM to deal with violations of distributional assumptions, and state that non-normality is an “obsolete” reason to choose PLS over SEM (cf. Gefen et al., 2011, p. vii).”
An assessment of the use of partial least squares structural equation modeling in marketing research (2011, methodology): “The methodological concepts underlying both approaches have been compared in several publications, including those by Barclay et al. (1995), Chin and Newsted (1999), Fornell and Bookstein (1982), Gefen et al. (2011), Hair et al. (2011), Jöreskog and Wold (1982), and Lohmöller (1989).”
Partial least squares path modeling: Time for some serious second thoughts (2016, methodology): “Another common claim is that PLS weights reduce the impact of measurement error (e.g., Chin et al., 2003, p. 194; Gefen et al., 2011, Table 1 Inconsistency on the purpose of PLS weights across different sources.”
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research (2020, methodology): “The estimated model is as specified by analysts [118].”
A study of the impact of social media on consumers (2014, methodology): “PLS is also suitable for testing a new model (Gefen et al. 2011) .”