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Journal ArticleDOI

What Is Coefficient Alpha? An Examination of Theory and Applications

Jose M. Cortina
- 01 Feb 1993 - 
- Vol. 78, Iss: 1, pp 98-104
TLDR
A review of the Social Sciences Citations Index for the literature from 1966 to 1990 revealed that Cronbach's (1951) article had been cited approximately 60 times per year and in a total of 278 different journals.
Abstract
Coefficient alpha (Cronbach, 1951) is certainly one of the most important and pervasive statistics in research involving test construction and use. A review of the Social Sciences Citations Index for the literature from 1966 to 1990 revealed that Cronbach's (1951) article had been cited approximately 60 times per year and in a total of 278 different journals. In addition to the areas of psychology in which one may expect to see alpha used, such as educational, industrial, social, clinical, child, community, and abnormal psychology, this list of journals included representatives from experimental psychology, sociology, statistics, medicine, counseling, nursing, economics, political science, criminology, gerontology, broadcasting, anthropology, and accounting. In spite of its widespread use, however, there is some confusion as to the true meaning and proper interpretation of the statistic. In this article I address this confusion in two ways. First, a theoretical discussion of alpha is presented. This includes some of the many statements that have been made about alpha and an attempt to integrate these statements. Second, I take a more practical approach in which the interpretation of alpha is examined by observing the changes in alpha as the number of items and interitem correlations are manipulated.

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Citations
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Journal ArticleDOI

Making sense of Cronbach's alpha

TL;DR: The meaning of Cronbach’s alpha, the most widely used objective measure of reliability, is explained and the underlying assumptions behind alpha are explained in order to promote its more effective use.
Journal ArticleDOI

Constructing validity: Basic issues in objective scale development

TL;DR: In this article, the authors discuss theoretical principles, practical issues, and pragmatic decisions to help developers maximize the construct validity of scales and subscales, and propose factor analysis as a crucial role in ensuring unidimensionality and discriminant validity.
Journal ArticleDOI

The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education

TL;DR: Cronbach's alpha is a statistic commonly quoted by authors to demonstrate that tests and scales that have been constructed or adopted for research projects are fit for purpose as discussed by the authors, which is a measure of reliability.
Journal ArticleDOI

Development and validation of work–family conflict and family–work conflict scales.

TL;DR: This paper developed and validated short, self-report scales of work-family conflict (WFC) and family-work conflict (FWC) using conceptualizations consistent with the current literature.
Report SeriesDOI

Handbook on Constructing Composite Indicators: Methodology and User Guide

TL;DR: In this paper, the authors present a handbook for constructing and using composite indicators for policy makers, academics, the media and other interested parties, which is concerned with those which compare and rank country performance in areas such as industrial competitiveness, sustainable development, globalisation and innovation.
References
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Journal ArticleDOI

Coefficient alpha and the internal structure of tests.

TL;DR: In this paper, a general formula (α) of which a special case is the Kuder-Richardson coefficient of equivalence is shown to be the mean of all split-half coefficients resulting from different splittings of a test, therefore an estimate of the correlation between two random samples of items from a universe of items like those in the test.
Journal ArticleDOI

Psychometric theory (2nd ed.).

Rosedith Sitgreaves
- 01 Jan 1979 - 
Book

Statistical Theories of Mental Test Scores

TL;DR: In this paper, the authors present a survey of test theory models and their application in the field of mental test analysis. But the focus of the survey is on test-score theories and models, and not the practical applications and limitations of each model studied.
Book

Introduction to Measurement Theory

Mary J. Allen
TL;DR: A review of basic statistical concepts for test construction is given in this paper, with a focus on the use of latent-trait models for measuring test scores, and a discussion of current developments in measurement.
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