Cross-Classification Analysis Using Prediction Logic Versus Theory-Testing Logic: Comments on the Use of the DEL-Technique.

Autor: Kok, Robert A. W., Postma, Theo J. B. M., Steerneman, A. G. M.
Předmět:
Zdroj: Quality & Quantity; Aug2008, Vol. 42 Issue 4, p491-511, 21p, 5 Charts
Abstrakt: Without acknowledging the paradigm difference between testing theory and predicting events, researchers in the field of management and organization continue to use the DEL-technique as a promising technique to evaluate theory based on cross-classification data analysis. We address the purpose and interpretation of the DEL-measure within the theory-testing and events-predicting paradigm. We argue that DEL, a proportionate reduction in error measure, is not to be interpreted in terms of the proportionate error reduction of knowing a prediction rule over not knowing it. In addition, a significant DEL-value is not to be interpreted as a dependence-measure of acceptance of a hypothesis as the only and best relationship between two categorical variables, just as a non-significant DEL-value cannot be interpreted as a measure of independence. Furthermore, an alternative proportionate reduction in error measure generates unequivocally interpretable results compared to the DEL-technique. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index