Understanding Internal Consistency Reliability Estimates: A Conceptual Primer on Coefficient Alpha
Top Cited Papers
- 1 October 2001
- journal article
- research article
- Published by Taylor & Francis in Measurement and Evaluation in Counseling and Development
- Vol. 34 (3) , 177-189
- https://doi.org/10.1080/07481756.2002.12069034
Abstract
Although often ignored, reliability is critical when interpreting study effects and test results. Accordingly, this article focuses on the most commonly used estimate of reliability, internal consistency coefficients, with emphasis on coefficient alpha. An interpretive framework is provided for applied researchers and others seeking a conceptual understanding of these estimates.Keywords
This publication has 28 references indexed in Scilit:
- Reporting Practices and APA Editorial Policies Regarding Statistical Significance and Effect SizeTheory & Psychology, 2000
- Research news and Comment: A National Survey of AERA Members’ Perceptions of Statistical Significance Tests and Other Statistical IssuesEducational Researcher, 2000
- Measurement Error in “Big Five Factors” Personality Assessment: Reliability Generalization across Studies and MeasuresEducational and Psychological Measurement, 2000
- Psychometrics versus Datametrics: Comment on Vacha-Haase’s “Reliability Generalization” Method and Some Epm Editorial PoliciesEducational and Psychological Measurement, 2000
- Psychometrics is Datametrics: the Test is not ReliableEducational and Psychological Measurement, 2000
- Practices Regarding Reporting of Reliability Coefficients: A Review of Three JournalsThe Journal of Experimental Education, 1999
- Research news and Comment: AERA Editorial Policies Regarding Statistical Significance Testing: Three Suggested ReformsEducational Researcher, 1996
- The earth is round (p < .05).American Psychologist, 1994
- Multiple regression as a general data-analytic system.Psychological Bulletin, 1968
- Coefficient alpha and the internal structure of testsPsychometrika, 1951