Rough set methodology in meta-analysis - a comparative and exploratory analysis
AbstractWe study the applicability of the pattern recognition methodology "rough set data analysis" (RSDA) in the field of meta analysis. We give a summary of the mathematical and statistical background and then proceed to an application of the theory to a meta analysis of empirical studies dealing with the deterrent effect introduced by Becker and Ehrlich. Results are compared with a previously devised meta regression analysis. We find that the RSDA can be used to discover information overlooked by other methods, to preprocess the data for further studying and to strengthen results previously found by other methods.
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Bibliographic InfoPaper provided by Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute of Economics (VWL) in its series Darmstadt Discussion Papers in Economics with number 36791.
Date of creation: Nov 2005
Date of revision:
Publication status: Published in Darmstadt Discussion Papers in Economics . 157 (2005-11)
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Rough Data Set; RSDA; Meta Analysis; Data Mining; Pattern Recognition; Deterrence; Criminometrics;
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