Problems of Domain Factors with Small Factor Loadings in Bi-Factor Models
Nils Petras1, Thorsten Meiser1
1University of Mannheim.
Multivariate Behavioral Research
|September 4, 2023
Summary
Small factor loadings and variances in measurement models are common, potentially hindering statistical power and accurate estimation. Researchers should consider the sum of squared loadings for better study planning and interpretation of domain factors.
Area of Science:
- Psychometrics
- Quantitative Psychology
- Measurement Theory
Background:
- Measurement designs frequently yield domain factors with low variances and loadings.
- Understanding the causes and consequences of these small factors is crucial for robust research.
Conclusions:
- Small domain factors present considerable challenges in statistical analysis and interpretation.
- Researchers must account for the sum of squared factor loadings in study design and analysis.
- Strategies are proposed to optimize the use and interpretation of bifactor models.
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