作者: Stefano Cantis , Antonino M. Oliveri
DOI: 10.1007/978-3-642-17103-1_55
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摘要: Collapsing over variables is a necessary procedure in much empirical research. Consequences are yet not always properly evaluated. In this paper, different definitions of collapsibility (simple, strict, strong, etc.) and corresponding sufficient conditions reviewed We point out the relevance limitations main contributions within unifying interpretative framework. deem such work to be useful since debate on topic has often developed terms that neither focused nor clear.