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Factor Retention Using Machine Learning With Ordinal Data
Determining the number of factors in exploratory factor analysis is probably the most crucial decision when conducting the analysis as it clearly influences the meaningfulness of the results (i.e., factorial validity). A new method called the Factor Forest that combines data simulation and machine l...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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SAGE Publications
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265486/ https://www.ncbi.nlm.nih.gov/pubmed/35812814 http://dx.doi.org/10.1177/01466216221089345 |