Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/wiley/advancing-alpha-measuring-reliability-with-confidence-l1Juh1ois0
References (35)
-
L. Aiken (1994)
Psychological testing and assessment, 9th ed. -
L.A. Clark, D. Watson (1995)
Constructing validity: Basic issues in objective scale development, 7
-
L.R. Aiken (2002)
Psychological testing and assessment -
J. Peter, Gilbert Churchill (1986)
Relationships among Research Design Choices and Psychometric Properties of Rating Scales: A Meta-AnalysisJournal of Marketing Research, 23
-
(1994)
Psychometric theory (3rd ed.) -
Gordon Bruner, P. Hensel, K. James (1992)
Marketing Scales Handbook: A Compilation of Multi-Item Measures -
D. Gerbing, James Anderson (1988)
An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its AssessmentJournal of Marketing Research, 25
-
Gilbert Churchill (1979)
A Paradigm for Developing Better Measures of Marketing ConstructsJournal of Marketing Research, 16
-
(1995)
For personal use only--not for distribution. Constructing Validity: Basic Issues in Objective Scale Development -
K. Yuan, P. Bentler (2002)
On robusiness of the normal-theory based asymptotic distributions of three reliability coefficient estimatesPsychometrika, 67
-
Jorge Mendoza, Karen Stafford, Joseph Stauffer (2000)
Large-sample confidence intervals for validity and reliability coefficients.Psychological methods, 5 3
-
R. Charter (2000)
Confidence Interval Formulas for Split-Half Reliability CoefficientsPsychological Reports, 86
-
W. Bearden, R. Netemeyer, M. Mobley (1993)
Handbook of Marketing Scales: Multi-Item Measures for Marketing and Consumer Behavior Research -
A. Anastasi, S. Urbina (1996)
Psychological testing -
M.J. Allen, W.M. Yen (1979)
Introduction to measurement theory -
(1979)
Introduction to measurement theory. Monterey, CA: Brooks/Cole -
D. Iacobucci (2001)
Methodological and statistical concerns of the experimental behavioral researcher -
J.P. Peter, G.A. Churchill (1986)
Relationships among research design choices and psychometric properties of rating scales, 23
-
J. Zyl, H. Neudecker, D. Nel (2000)
On the distribution of the maximum likelihood estimator of Cronbach's alphaPsychometrika, 65
-
(2002)
On robustness of the normal-theory -
A. Anastasi, S. Urbina (1997)
Psychological testing, 7th ed. -
J. Cortina (1993)
What Is Coefficient Alpha? An Examination of Theory and ApplicationsJournal of Applied Psychology, 78
-
H. Osburn (2000)
Coefficient alpha and related internal consistency reliability coefficients.Psychological methods, 5 3
-
L. Cronbach (1988)
Internal consistency of tests: Analyses old and newPsychometrika, 53
-
T.P. Hogan, A. Benjamin, K.L. Brezinski (2000)
Reliability methods, 60
-
Kathryn Villani, Y. Wind (1975)
On the Usage of “Modified” Personality Trait Measures in Consumer ResearchJournal of Consumer Research, 2
-
Heng Li, R. Rosenthal, D. Rubin (1996)
Reliability of measurement in psychology: From Spearman-Brown to maximal reliability.Psychological Methods, 1
-
L. Feldt (1965)
The approximate sampling distribution of Kuder-Richardson reliability coefficient twentyPsychometrika, 30
-
L. Feldt, David Woodruff, Fathi Salih (1987)
Statistical Inference for Coefficient AlphaApplied Psychological Measurement, 11
-
T. Hogan, A. Benjamin, Kristen Brezinski (2000)
Reliability Methods: A Note on the Frequency of Use of Various TypesEducational and Psychological Measurement, 60
-
D. Iacobucci, Gilbert Churchill (1976)
Marketing Research: Methodological Foundations -
L. Cronbach (1951)
Coefficient alpha and the internal structure of testsPsychometrika, 16
-
J.C. Nunnally, I.H. Bernstein (1994)
Psychometric theory -
R. Peterson (1994)
A Meta-analysis of Cronbach's Coefficient AlphaJournal of Consumer Research, 21
-
P. Kopalle, D. Lehmann (1997)
Alpha Inflation? The Impact of Eliminating Scale Items on Cronbach's AlphaOrganizational Behavior and Human Decision Processes, 70
- Publisher
- Wiley
- Copyright
- © Society for Consumer Psychology
- ISSN
- 1057-7408
- eISSN
- 1532-7663
- DOI
- 10.1207/S15327663JCP1304_14
- Publisher site
- See Article on Publisher Site
Abstract
In this research, we present the inferential statistics for Cronbach's coefficient alpha. This index of reliability is extremely important in consumer research. The estimation of alpha and its confidence intervals are described and an analytical demonstration illustrates the effects on these statistics of their components, including the number of items, the item intercorrelations, and sample size. SAS and SPSS programs are offered for easy implementation. We conclude with a prescription that every time a researcher reports a coefficient alpha, the confidence interval for alpha should accompany the alpha estimate.
Journal
Journal of Consumer Psychology – Wiley
Published: Jan 1, 2003