2.50
Hdl Handle:
http://hdl.handle.net/10755/161545
Type:
Presentation
Title:
Cronbach’s alpha and intra-class correlation coefficient
Abstract:
Cronbach’s alpha and intra-class correlation coefficient
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2001
Author:Wu, Yow-Wu
P.I. Institution Name:University of Buffalo at SUNY
Contact Address:School of Nursing, 820 Kimball Tower, Buffalo, NY, 14214-3079, USA
Contact Telephone:716.829.3207
Nurse researchers are familiar with Cronbach's alpha coefficient and used it as a measure of internal consistency of an instrument. Intra-class correlation coefficient (ICC) was known as a measure of inter-rater reliability and has been commonly used in behavioral measurement, psychometrics, and behavioral genetics. However, most of the researchers may not be fully aware of the relationship between the Cronbach's alpha coefficient and ICC. Armstrong (1981) pointed out when the fixed rater case is used with the mean rating as the unit of analysis, the intra-class correlation coefficient is equivalent to Cronbach's alpha coefficient. What does this mean probably is not clear to many nurse researchers. The purpose of this study is to further illustrate the Armstrong's statement by the analysis of variance (ANOVA) models. With a clear idea how these coefficients are calculated will help nurse researchers understand not only how to apply these two coefficients to their research but also know why these two coefficients are equivalent. In order to achieve this goal, the author will focus on the definition and applications of reliability coefficients and compare the ways in which these two coefficients were calculated. Applications of these coefficients will be emphasized.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleCronbach’s alpha and intra-class correlation coefficienten_GB
dc.identifier.urihttp://hdl.handle.net/10755/161545-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Cronbach&rsquo;s alpha and intra-class correlation coefficient</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2001</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Wu, Yow-Wu</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Buffalo at SUNY</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">School of Nursing, 820 Kimball Tower, Buffalo, NY, 14214-3079, USA</td></tr><tr class="item-phone"><td class="label">Contact Telephone:</td><td class="value">716.829.3207</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">nurwu@buffalo.edu</td></tr><tr><td colspan="2" class="item-abstract">Nurse researchers are familiar with Cronbach's alpha coefficient and used it as a measure of internal consistency of an instrument. Intra-class correlation coefficient (ICC) was known as a measure of inter-rater reliability and has been commonly used in behavioral measurement, psychometrics, and behavioral genetics. However, most of the researchers may not be fully aware of the relationship between the Cronbach's alpha coefficient and ICC. Armstrong (1981) pointed out when the fixed rater case is used with the mean rating as the unit of analysis, the intra-class correlation coefficient is equivalent to Cronbach's alpha coefficient. What does this mean probably is not clear to many nurse researchers. The purpose of this study is to further illustrate the Armstrong's statement by the analysis of variance (ANOVA) models. With a clear idea how these coefficients are calculated will help nurse researchers understand not only how to apply these two coefficients to their research but also know why these two coefficients are equivalent. In order to achieve this goal, the author will focus on the definition and applications of reliability coefficients and compare the ways in which these two coefficients were calculated. Applications of these coefficients will be emphasized.</td></tr></table>en_GB
dc.date.available2011-10-26T23:23:07Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T23:23:07Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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