Title: Robust estimation of Cronbach's alpha
Authors: Christmann, A ×
Van Aelst, Stefan #
Issue Date: 2006
Series Title: JOURNAL OF MULTIVARIATE ANALYSIS vol:97 issue:7 pages:1660-1674
Abstract: Cronbach’s alpha is a popular method to measure reliability, e.g. in quantifying
the reliability of a score to summarize the information of several items in question-
naires. The alpha coefficient is known to be non-robust. We study the behavior of
this coefficient in different settings to identify situations, which can easily occur in
practice, but under which the Cronbach’s alpha coefficient is extremely sensitive to
violations of the classical model assumptions. Furthermore, we construct a robust
version of Cronbach’s alpha which is insensitive to a small proportion of data that
belong to a different source. The idea is that the robust Cronbach’s alpha reflects
the reliability of the bulk of the data. For example, it should not be possible that
some small amount of outliers makes a score look reliable if it is not.
ISSN: 0047-259X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Non-KU Leuven Association publications
× corresponding author
# (joint) last author

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