Results 211 to 220 of about 350,704 (260)

Cronbach’s Coefficient Alpha

Organizational Research Methods, 2014
This study disproves the following six common misconceptions about coefficient alpha: (a) Alpha was first developed by Cronbach. (b) Alpha equals reliability. (c) A high value of alpha is an indication of internal consistency. (d) Reliability will always be improved by deleting items using “alpha if item deleted.” (e) Alpha should be greater than or ...
Eunseong Cho, Seonghoon Kim
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Coefficient Alpha: A Reliability Coefficient for the 21st Century?

Journal of Psychoeducational Assessment, 2011
Coefficient alpha is almost universally applied to assess reliability of scales in psychology. We argue that researchers should consider alternatives to coefficient alpha. Our preference is for structural equation modeling (SEM) estimates of reliability because they are informative and allow for an empirical evaluation of the assumptions underlying ...
null Yanyun Yang, Samuel B. Green
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Bayesian meta‐analysis of coefficient alpha

Research Synthesis Methods, 2013
The current paper describes and illustrates a Bayesian approach to the meta‐analysis of coefficient alpha. Alpha is the most commonly used estimate of the reliability or consistency (freedom from measurement error) for educational and psychological measures. The conventional approach to meta‐analysis uses inverse variance weights to combine information
Brannick, Michael T., Zhang, Nanhua
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Coefficient Alpha and Interculture Test Selection

Assessment, 2012
The internal consistency reliability of a measure can be a focal point in an evaluation of the potential adequacy of an instrument for adaptation to another cultural setting. Cronbach’s alpha (α) coefficient is often used as the statistical index for such a determination.
Steven, Thurber, Yasuhiro, Kishi
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Commentary on Coefficient Alpha: A Cautionary Tale

Psychometrika, 2009
The general use of coefficient alpha to assess reliability should be discouraged on a number of grounds. The assumptions underlying coefficient alpha are unlikely to hold in practice, and violation of these assumptions can result in nontrivial negative or positive bias. Structural equation modeling was discussed as an informative process both to assess
Green, Samuel B., Yang, Yanyun
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On the Coefficient Alpha in High-Dimensions

2021
Cronbach’s coefficient alpha remains very important as a measure of internal consistency. The well-known Spearman-Brown formula indicates that as the number of items (i.e., the dimension) goes to infinity, the coefficient alpha eventually approaches one.
Kentaro Hayashi, Ke-Hai Yuan, Regan Sato
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A Meta-Analysis of Cronbach's Coefficient Alpha

Journal of Consumer Research, 1994
Despite some limitations, Cronbach's coefficient alpha remains the most widely used measure of scale reliability. The purpose of this article was to empirically document the magnitudes of alpha coefficients obtained in behavioral research, compare these obtained values with guidelines and recommendations set forth by individuals such as Nunnally (1967,
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A Comprehensive Alpha Coefficient Algorithm

Advances in X-ray Analysis, 1979
AbstractAn algorithm is proposed as a model that describes the intensity concentration relation over a wide concentration range in binary and more complex systems involving absorption and enhancement. All the influence coefficients can be determined from fundamental parameter equations.
G. R. Lachance, F. Claisse
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Meta-analysis of coefficient alpha.

Psychological Methods, 2006
The meta-analysis of coefficient alpha across many studies is becoming more common in psychology by a methodology labeled reliability generalization. Existing reliability generalization studies have not used the sampling distribution of coefficient alpha for precision weighting and other common meta-analytic procedures.
Michael C, Rodriguez, Yukiko, Maeda
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Note on Two Generalizations of Coefficient Alpha

Psychometrika, 1979
An important relationship is given for two generalizations of coefficient alpha, Rajaratnam, Cronbach and Gleser's generalizability formula for stratified-parallel tests and Raju's coefficient beta.
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