The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Qual a fiabilidade do alfa de Cronbach? Questões antigas e soluções modernas?
Open accessAbstract
A análise da consistência interna de uma medida psicológica é uma necessidade aceite na comunidade científica. Entre os diferentes métodos que nos fornecem estimativas do grau de consistência de uma medida salienta-se o índice de Cronbach sobre o qual acenta a confiança da maioria dos investigadores. Os utilizadores deste método têm-no sugerido como conservador especialmente para os casos em que os itens da escala são heterogéneos, são dicotómicos ou definem estruturas multi-factoriais: o alfa de Cronbach fornece uma sub-estimativa da verdadeira fiabilidade da medida. Neste artigo apresentamos e discutimos o método de Cronbach, com ênfase na inferência sobre este índice e nas propostas alternativas a este método de estudo da consistência interna. Por último faremos uma breve referência à discussão que emerge no campo no que concerne a interpretação deste índice feita pelas perspectivas psicométrica vs. datamétrica.
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Citations
Cites
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
(1991) · Cited by 15,554
(1932) · Medical Entomology and Zoology · Cited by 9,568
What is coefficient alpha? An examination of theory and applications
Cortina, J. M. (1993) · Journal of Applied Psychology · doi:10.1037/0021-9010.78.1.98 · Cited by 8,810 · cited 4×
“Cortina (1993) descreve outras interpretações para o índice de Cronbach, referindo que o α é uma medida estável de fiabilidade pois não está sujeito à variabilidade resultante da forma como o instrumento ou teste é dividido para calcular a fiabilidade split-half.”
BackgroundInfluentialStatistical Theories of Mental Test Scores
Rozeboom, W. W., Lord, F. M., Novick, M. R., & Birnbaum, A. (1969) · American Educational Research Journal · doi:10.2307/1162101 · Cited by 8,022
Introduction to Classical and Modern Test Theory
Crocker, L. M., & Algina, J. J. (1986) · Cited by 5,090
Test Theory: A Unified Treatment
Zwick, R., & McDonald, R. P. (2000) · Journal of the American Statistical Association · doi:10.2307/2669496 · Cited by 3,603
A Meta-Analysis of Cronbach's Coefficient Alpha
Peterson, R. A. (1994) · Journal of Consumer Research · doi:10.1086/209405 · Cited by 3,028
Statistical methods in psychology journals: Guidelines and explanations.
Wilkinson, L., & Task Force on Statistical Inference (1999) · American Psychologist · doi:10.1037/0003-066x.54.8.594 · Cited by 2,791
The Theory of the Estimation of Test Reliability
Kuder, G. F., & Richardson, M. W. (1937) · Psychometrika · doi:10.1007/bf02288391 · Cited by 2,002
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Metadata
- Authors
- Maroco, J., & Garcia-Marques, T.
- Venue
- Laboratório de Psicologia
- Publisher
- ISPA - Instituto Universitario
- Published
- 2013-11-17
- Volume
- 4
- Issue
- 1
- ISSN
- 1645-7927 (ISSN-L)
- 1646-6004
- OpenAlex
- W2170200501
- Cited by
- 444
- References
- 48
- FWCI
- 68.91
- Type
- journal article
- Language
- pt
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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