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In any investigation of a causal relationship between an X and a Y, the time when X and Y are measured is crucial for determining whether X causes Y, as well as the true strength of that relationship. Using past research and a review of current research, we develop a set of X,Y configurations that describe the main ways that causal relationships are represented in theory and tested in research. We discuss the theoretical, methodological, and analytical issues pertaining to when we measure X and Y and discuss the implications of this analysis for constructing better organizational theories.
Mitchell et al. (Mon,) studied this question.
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