File Download
There are no files associated with this item.
Supplementary
-
Citations:
- Appears in Collections:
Conference Paper: Estimating and comparing scale reliabilities using bootstrap bias-corrected Cronbach’s alpha coefficient.
Title | Estimating and comparing scale reliabilities using bootstrap bias-corrected Cronbach’s alpha coefficient. |
---|---|
Authors | |
Issue Date | 2014 |
Publisher | Institute of Strategic and International Studies (ISIS). |
Citation | Institute of Strategic and International Studies (ISIS) – Venice International Multidisciplinary Academic Summit, Venice, Italy, 7-9 July 2014. In ISIS- Venice International Multidisciplinary Academic Summit Proceedings, 2014, p. 60 How to Cite? |
Abstract | Reliability is an important psychometric property of a test in psychological measurement. Traditionally,
the Cronbach’s alpha coefficient (α) is commonly employed as an internal consistency estimate that
measures the reliability of a test with multiple items (Cronbach, 1951). This method, however, assumes
tau-equivalent items and it serves only as a lower bound (i.e., biased) estimate of reliability when the
items concerned are congeneric. In this talk, therefore, we propose a bootstrap bias-corrected alpha
coefficient (σ*) as an alternative, which we believe is more accurate in (1) estimating the true test
reliability, and (2) testing the equality of test reliabilities in two independent samples. Through a Monte
Carlo experiment, we compared the empirical performance of α and α* under different model conditions.
First, simulation results indicated that when the test items are congeneric, α* is more accurate than α in
estimating the true reliability. Second, when testing the equality of scale reliabilities in two independent
samples, the test based on α will over-reject the correct null hypothesis of equal reliability when the items
are tau-equivalent in one sample and congeneric in the other. Third, when the two groups have unequal
reliabilities, the power of the test based on α will depend critically on the form of the items in the two
groups. Finally, the test based on α* performs satisfactorily across all simulation conditions, in terms of
both Type I error rate and statistical power. |
Description | Conference Theme: Multiple Perspectives on Strategy and Innovation – From Theory to Practice |
Persistent Identifier | http://hdl.handle.net/10722/199707 |
ISBN |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chan, W | en_US |
dc.contributor.author | Kwan, JLY | en_US |
dc.contributor.author | Zhao, Y | en_US |
dc.date.accessioned | 2014-07-22T01:30:22Z | - |
dc.date.available | 2014-07-22T01:30:22Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.citation | Institute of Strategic and International Studies (ISIS) – Venice International Multidisciplinary Academic Summit, Venice, Italy, 7-9 July 2014. In ISIS- Venice International Multidisciplinary Academic Summit Proceedings, 2014, p. 60 | en_US |
dc.identifier.isbn | 9780615846880 | - |
dc.identifier.uri | http://hdl.handle.net/10722/199707 | - |
dc.description | Conference Theme: Multiple Perspectives on Strategy and Innovation – From Theory to Practice | - |
dc.description.abstract | Reliability is an important psychometric property of a test in psychological measurement. Traditionally, the Cronbach’s alpha coefficient (α) is commonly employed as an internal consistency estimate that measures the reliability of a test with multiple items (Cronbach, 1951). This method, however, assumes tau-equivalent items and it serves only as a lower bound (i.e., biased) estimate of reliability when the items concerned are congeneric. In this talk, therefore, we propose a bootstrap bias-corrected alpha coefficient (σ*) as an alternative, which we believe is more accurate in (1) estimating the true test reliability, and (2) testing the equality of test reliabilities in two independent samples. Through a Monte Carlo experiment, we compared the empirical performance of α and α* under different model conditions. First, simulation results indicated that when the test items are congeneric, α* is more accurate than α in estimating the true reliability. Second, when testing the equality of scale reliabilities in two independent samples, the test based on α will over-reject the correct null hypothesis of equal reliability when the items are tau-equivalent in one sample and congeneric in the other. Third, when the two groups have unequal reliabilities, the power of the test based on α will depend critically on the form of the items in the two groups. Finally, the test based on α* performs satisfactorily across all simulation conditions, in terms of both Type I error rate and statistical power. | - |
dc.language | eng | en_US |
dc.publisher | Institute of Strategic and International Studies (ISIS). | - |
dc.relation.ispartof | ISIS- Venice International Multidisciplinary Academic Summit Proceedings | en_US |
dc.title | Estimating and comparing scale reliabilities using bootstrap bias-corrected Cronbach’s alpha coefficient. | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Zhao, Y: myzhao@hku.hk | en_US |
dc.identifier.hkuros | 231270 | en_US |
dc.identifier.spage | 60 | - |
dc.identifier.epage | 60 | - |
dc.publisher.place | Florida, United States | - |