Cronbach's alpha reliability: Interval estimation, hypothesis testing, and sample size planning
Abstract
Summary Cronbach's alpha is one of the most widely used measures of reliability in the social and organizational sciences. Current practice is to report the sample value of Cronbach's alpha reliability, but a confidence interval for the population reliability value also should be reported. The traditional confidence interval for the population value of Cronbach's alpha makes an unnecessarily restrictive assumption that the multiple measurements have equal variances and equal covariances. We propose a confidence interval that does not require equal variances or equal covariances. The results of a simulation study demonstrated that the proposed method performed better than alternative methods. We also present some sample size formulas that approximate the sample size requirements for desired power or desired confidence interval precision. R functions are provided that can be used to implement the proposed confidence interval and sample size methods. Copyright © 2014 John Wiley & Sons, Ltd.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The sample size needed for the current study was approximately 102 patients.
“the sample size needed for the current study was approximately 102 patients”
From The Psychological Flexibility in Epilepsy Questionnaire (PFEQ): Psychometric properties of the Persian version (2022) · cites this paper as [20]
Cites
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931 · see citing works
Wasserman, S. S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,347 · see citing works
Test Theory: A Unified Treatment
Zwick, R., & McDonald, R. P. (2000) · Journal of the American Statistical Association · doi:10.2307/2669496 · Cited by 3,637 · see citing works
Statistical analysis of sets of congeneric tests
Jöreskog, K. G. (1971) · Psychometrika · doi:10.1007/bf02291393 · Cited by 1,481 · see citing works
STATISTICAL ANALYSIS OF SETS OF CONGENERIC TESTS*
Jöreskog, K. G. (1969) · ETS Research Bulletin Series · doi:10.1002/j.2333-8504.1969.tb00777.x · Cited by 1,205 · see citing works
Sample Size Requirements for Estimating Pearson, Kendall and Spearman Correlations
Bonett, D. G., & Wright, T. A. (2000) · Psychometrika · doi:10.1007/bf02294183 · Cited by 1,095 · see citing works
Self-citationSample Size Requirements for Testing and Estimating Coefficient Alpha
Bonett, D. G. (2002) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986027004335 · Cited by 593 · see citing works
Self-citationTesting Statistical Hypotheses of Equivalence and Noninferiority
Wellek, S. (2010) · doi:10.1201/ebk1439808184 · Cited by 548 · see citing works
Kruschke, J., Aguinis, H., & Joo, H. (2012) · Organizational Research Methods · doi:10.1177/1094428112457829 · Cited by 526 · see citing works
The Approximate Sampling Distribution of Kuder-Richardson Reliability Coefficient Twenty
Feldt, L. S. (1965) · Psychometrika · doi:10.1007/bf02289499 · Cited by 296 · see citing works
Alpha's standard error (ASE): an accurate and precise confidence interval estimate.
Duhachek, A., & Iacobucci, D. (2004) · Journal of Applied Psychology · doi:10.1037/0021-9010.89.5.792 · Cited by 176 · see citing works
A sensible formulation of the significance test.
Jones, L. V., & Tukey, J. W. (2000) · Psychological Methods · doi:10.1037/1082-989x.5.4.411 · Cited by 167 · see citing works
Reliability Beyond Theory and Into Practice
Sijtsma, K. (2008) · Psychometrika · doi:10.1007/s11336-008-9103-y · Cited by 164 · see citing works
On the Distribution of the Maximum Likelihood Estimator of Cronbach's Alpha
Zyl, V., Neudecker, H., & Nel, D. G. (2000) · Psychometrika · doi:10.1007/bf02296146 · Cited by 136 · see citing works
Varying coefficient meta-analytic methods for alpha reliability.
Bonett, D. G. (2010) · Psychological Methods · doi:10.1037/a0020142 · Cited by 97 · see citing works
Self-citationConfidence intervals for standardized linear contrasts of means.
Bonett, D. G. (2008) · Psychological Methods · doi:10.1037/1082-989x.13.2.99 · Cited by 95 · see citing works
Self-citationSample Size Requirements for Comparing Two Alpha Coefficients
Bonett, D. G. (2003) · Applied Psychological Measurement · doi:10.1177/0146621602239477 · Cited by 52 · see citing works
Self-citationYuan, K., Guarnaccia, C. A., & Hayslip, B. (2003) · Educational and Psychological Measurement · doi:10.1177/0013164402239314 · Cited by 44 · see citing works
Kistner, E. O., & Muller, K. E. (2004) · Psychometrika · doi:10.1007/bf02295646 · Cited by 43 · see citing works
Coefficient Alpha Bootstrap Confidence Interval Under Nonnormality
Padilla, M. A., Divers, J., & Newton, M. (2012) · Applied Psychological Measurement · doi:10.1177/0146621612445470 · Cited by 36 · see citing works
Comments and recommendations regarding the hypothesis testing controversy
Bonett, D. G., & Wright, T. A. (2007) · Journal of Organizational Behavior · doi:10.1002/job.448 · Cited by 21 · see citing works
Self-citationUSING CONFIDENCE INTERVALS IN SUPPLY CHAIN AND OPERATIONS RESEARCH*
Bonett, D. G., & Wright, T. A. (2008) · Journal of Supply Chain Management · doi:10.1111/j.1745-493x.2009.03152.x · Cited by 16 · see citing works
Self-citation(1999)
Flagged first, then by citations
Cited by
Sorted by citations
Investigating the Impact of Gamification on Student Motivation, Engagement, and Performance
García-López, I. M., Acosta-Gonzaga, E., & Ruiz-Ledesma, E. F. (2023) · Education Sciences · doi:10.3390/educsci13080813 · Cited by 78 · see citing works
Macdonald, M., Vaucher, P., & Esteves, J. E. (2018) · International journal of osteopathic medicine · doi:10.1016/j.ijosm.2018.07.003 · Cited by 37 · see citing works
Davoudi, M., Lundgren, T., Jansson-Fröjmark, M., Saeedipour, Z., & Badinlou, F. (2022) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2022.108672 · Cited by 12 · see citing works
“We used the guidelines for sample size in psychometric properties’ research [19,20].”
MethodThe Persian version of the psychological flexibility in sport scale: a psychometric study
Badinlou, F., Badami, R., Reinebo, G., Jansson-Fröjmark, M., Sepehri, F., Molaviniya, S., & Lundgren, T. (2022) · BMC Psychology · doi:10.1186/s40359-022-00962-x · Cited by 6 · see citing works
- Authors
- Bonett, D. G., & Wright, T. A.
- Affiliations
- University of California, Santa Cruz (US)
- Fordham University (US)
- Corresponding author
- Bonett, Douglas G.
- Venue
- Journal of Organizational Behavior
- Publisher
- Wiley
- Published
- 2014-10-13
- Volume
- 36
- Issue
- 1
- Pages
- 3-15
- ISSN
- 0894-3796 (ISSN-L)
- 1099-1379
- OpenAlex
- W2114299207
- Cited by
- 1,237
- References
- 23
- Citations by year
- 2026: 111 · 2025: 176 · 2024: 190 · 2023: 206 · 2022: 168 · 2021: 122 · 2020: 109 · 2019: 60 · 2018: 49 · 2017: 22 · 2016: 18 · 2015: 5 · 2014: 1
- FWCI
- 19.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Organizational Behavior (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- Cronbach's alpha, reliability statistics, confidence intervals, interval estimation, hypothesis testing, sample size determination, heteroscedasticity, measurement reliability, statistical power
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review