Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/77216 
Erscheinungsjahr: 
2002
Schriftenreihe/Nr.: 
Technical Report No. 2002,42
Verlag: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
Zusammenfassung: 
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 questionnaires. 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.
Schlagwörter: 
Cronbach’s alpha
MCD
M-estimator
Robustness
S-estimator
Dokumentart: 
Working Paper

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