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- Title
SOLOMON: a method for splitting a sample into equivalent subsamples in factor analysis.
- Authors
Lorenzo-Seva, Urbano
- Abstract
Nowadays, exploratory and confirmatory factor analyses are two important consecutive steps in an overall analysis process. The overall analysis should start with an exploratory factor analysis that explores the data and establishes a hypothesis for the factor model in the population. Then, the analysis process should be continued with a confirmatory factor analysis to assess whether the hypothesis proposed in the exploratory step is plausible in the population. To carry out the analysis, researchers usually collect a single sample, and then split it into two halves. As no specific splitting methods have been proposed to date in the context of factor analysis, researchers use a random split approach. In this paper we propose a method to split samples into equivalent subsamples similar to one that has already been proposed in the context of multivariate regression analysis. The method was tested in simulation studies and in real datasets.
- Subjects
FACTOR analysis; EXPLORATORY factor analysis; CONFIRMATORY factor analysis; REGRESSION analysis; MULTIVARIATE analysis
- Publication
Behavior Research Methods, 2022, Vol 54, Issue 6, p2665
- ISSN
1554-351X
- Publication type
Article
- DOI
10.3758/s13428-021-01750-y