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| Main Author: | |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidade de São Paulo
2016
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| Online Access: | https://www.redalyc.org/articulo.oa?id=553863906007 https://www.redalyc.org/journal/5538/553863906007/ https://www.redalyc.org/journal/5538/553863906007/html/ https://www.redalyc.org/journal/5538/553863906007/553863906007.epub https://www.redalyc.org/journal/5538/553863906007/movil https://doi.org/10.5700/rausp1234 |
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Table of Contents:
- Normal science and its tools: Reviewing the effects of exploratory factor analysis in management Luciano Rossoni Ricardo Engelbert Ney Luiz Bellegard Administración y Contabilidad survey reliability quantitative methods Exploratory factor analysis The aim of this study is to investigate how different methods of extraction, factor definition, and rotation of exploratory factor analysis affect the fit of measurement scales. For this purpose, we undertook a meta-analysis of 23 studies. Our results indicate that the Principal Components method provides greater explained variance, while the Maximum Likelihood method increases reliability. Of the rotations methods, Varimax provides greater reliability while Quartimax provides lower correlation between factors. In conclusion, this study highlights implications for quantitative research and suggests potential new studies. 2016 artículo científico 2531-0488 https://www.redalyc.org/articulo.oa?id=553863906007 https://www.redalyc.org/journal/5538/553863906007/ https://www.redalyc.org/journal/5538/553863906007/html/ https://www.redalyc.org/journal/5538/553863906007/553863906007.epub https://www.redalyc.org/journal/5538/553863906007/movil https://doi.org/10.5700/rausp1234 en http://www.redalyc.org/revista.oa?id=5538 RAUSP Management Journal application/pdf Universidade de São Paulo RAUSP Management Journal (Brasil) Num.2 Vol.51