Building Better Theory: Time and the Specification of When Things Happen
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 d...
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Veröffentlicht in: | The Academy of Management review 2001-10, Vol.26 (4), p.530-547 |
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container_title | The Academy of Management review |
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creator | Mitchell, Terence R. James, Lawrence R. |
description | 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. |
doi_str_mv | 10.2307/3560240 |
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subjects | Business studies Causality Design analysis Hypotheses Hypothesis Measurement Organization theory Organizational research Rates of change Research design Research methods Self efficacy Social psychology Statistical variance Studies Test theory Time Time series Variables |
title | Building Better Theory: Time and the Specification of When Things Happen |
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