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Quality & Quantity -  相似文献   
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While a great deal of the literature has been dedicated to statistical modeling to use illustrate conceptual models, one simple but important area, not adequately covered, is the exploration of the “causal nexus”. This is that usually unexplored area between a predictor variable and the criterion variable which may beg the question, “Why?”. That is, why is that indicator or predictor variable related to the criterion? Or, just how are they related? To explore the nexus a series of progressively more accurate hypotheses should be tested. This process is termed a “nexus analytic approach”. In this research note the process, the logic, and a form for its presentation is presented.  相似文献   
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