Abstract
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.
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Ton Steerneman passed away on September, 28, 2005.
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Kok, R.A.W., Postma, T.J.B.M. & Steerneman, A.G.M. Cross-Classification Analysis Using Prediction Logic Versus Theory-Testing Logic: Comments on the Use of the DEL-Technique. Qual Quant 42, 491–511 (2008). https://doi.org/10.1007/s11135-006-9056-0
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DOI: https://doi.org/10.1007/s11135-006-9056-0