Heywood You Go Away! Examining Causes, Effects, and Treatments for Heywood Cases in Exploratory Factor Analysis

Exploratory factor analysis (EFA) is a popular method for elucidating the latent structure of data. Unfortunately, EFA models can sometimes produce improper solutions with nonsensical results. For example, improper EFA solutions can include one or more Heywood cases, where common factors account for...

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Bibliographic Details
Published in:Psychological methods 2022-04, Vol.27 (2), p.156-176
Main Authors: Cooperman, Allison W., Waller, Niels G.
Format: Article
Language:English
Subjects:
Algorithms
Bias
Causality
Common Factors
Error Analysis
Exploratory Factor Analysis
Factor Analysis, Statistical
Human
Humans
Monte Carlo Method
Sample Size
Simulation
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