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Testing complex models with small sample sizes: A historical overview and empirical demonstration of what Partial Least Squares (PLS) can offer differential psychology

Willaby, Harold W., Costa, Daniel S.J., Burns, Bruce D., MacCann, Carolyn, Roberts, Richard D.·2015·Personality and Individual Differences

DOI 10.1016/j.paid.2014.09.008

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Authors: Willaby, H. W., Costa, D. S. J., Burns, B. D., MacCann, C., & Roberts, R. D.
Affiliations: The University of Sydney (AU)
Professional Examination Service (US)
Corresponding author: Willaby, Harold W.
ORCID: Willaby, Harold W.
Costa, Daniel S.J.
Burns, Bruce D.
MacCann, Carolyn
Venue: Personality and Individual Differences
Publisher: Elsevier BV
Published: 2015-10
Volume: 84
Pages: 73-78
ISSN: 0191-8869 (ISSN-L)
DOI: 10.1016/j.paid.2014.09.008
OpenAlex: W1985977391
Cited by: 419
References: 24
Citations by year: 2026: 37 · 2025: 68 · 2024: 60 · 2023: 53 · 2022: 50 · 2021: 58 · 2020: 34 · 2019: 14 · 2018: 18 · 2017: 12 · 2016: 11 · 2015: 3
FWCI: 11.37
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Personality and Individual Differences (publishedVersion)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
Keywords: partial least squares path modeling, structural equation modeling, small sample size, differential psychology, mediation model, formative constructs, model fit, complex models, sample size requirements

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Testing complex models with small sample sizes: A historical overview and empirical demonstration of what Partial Least Squares (PLS) can offer differential psychology

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