When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions.
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Summary
A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables and found cat-LS to be more sensitive to sample size and to violations of the assumption of normality of the underlying continuous variables.
- Type
- article
- Published
- 2012-07-16
- Cited by
- 2,561
- References
- 73
- OpenAlex
- https://openalex.org/W1970325005
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16423925
Keywords
Categorical variable, Statistics, Mathematics, Normality, Continuous variable
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