References
- Ahmed, S. E. 1992. Shrinkage preliminary test estimation in multivariate normal distributions. Journal of Statistical Computation and Simulation 43 (3/4):177–95.
- Ahmed, S. E. 2014. Pooling data: Making sense or folly. In Penalty, shrinkage and pretest strategies, 27–52. SpringerBriefs in Statistics. Springer, Cham.
- Ahmed, S. E., and S. Liu. 2009. Asymptotic theory of simultaneous estimation of poisson means. Linear Algebra and Its Applications 430 (10):2734–48.
- Bonett, D. G., and T. A. Wright. 2015. Cronbach’s alpha reliability: Interval estimation, hypothesis testing, and sample size planning. Journal of Organizational Behavior 36 (1):3–15.
- Cronbach, L. J. 1951. Coefficient alpha and the internal structure of tests. Psychometrika 16 (3):297–334.
- Falissard, B. 2015. Package psy. Paris, France: R Foundation for Statistical Computing.
- Javali, S. B., N. V. Gudaganavar, and S. M. Raj. 2011. Effect of varying sample size in estimation of coefficients of internal consistency. WebmedCentral BIOSTATISTICS; 2(2):WMC001572. doi: 10.9754/journal.wmc.2011.001572
- Judge, G., and M. Bock. 1978. The statistical implications of pre-test and stein-rule estimators in econometrics. North-Holland, Amsterdam.
- Najafabadi, P. A. T., and M. O. Najafabadi. 2016. On the Bayesian estimation for Cronbachs alpha. Journal of Applied Statistics 43 (13):2416–41.
- Shah, M. K. A., S. Lisawadi, and S. E. Ahmed 2017. Merging data from multiple sources: Pretest and shrinkage perspectives. Journal of Statistical Computation and Simulation 87 (8):1577–92.
- Sheng, Y., and Z. Sheng. 2012. Is coefficient alpha robust to non-normal data? Frontiers in Psychology 334.
- Sijtsma, K. 2009. On the use, the misuse, and the very limited usefulness of Cronbachs alpha. Psychometrika 74 (1):107–20.
- van Zyl, J. M., H. Neudecker, and D. G. Nel. 2000. On the distribution of the maximum likelihood estimator of Cronbach’s alpha. Psychometrika 65 (3):271–80.
- Zahra, N., S. Lisawadi, and S. E. Ahmed. 2017. Meta-analysis, pretest, and shrinkage estimation of kurtosis parameters. Communications in Statistics–Simulation and Computation 46 (10):7986–8004.