Asian researchers should be more critical: The example of testing mediators using time-lagged data

Kenneth S. Law (), Chi-Sum Wong (), Ming Yan () and Guohua Huang ()
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Kenneth S. Law: The Chinese University of Hong Kong
Chi-Sum Wong: The Chinese University of Hong Kong
Ming Yan: Sun Yat-sen University
Guohua Huang: Hong Kong Baptist University

Asia Pacific Journal of Management, 2016, vol. 33, issue 2, No 2, 319-341

Abstract: Abstract In the past decade, there has been call for Asian researchers to be more confident and not limit themselves to follow only the footsteps of Western studies. In this paper, we follow up the discussion in Western literature about the importance of testing mediators with longitudinal data. The prevailing way of testing mediation is the use of time-lagged models. That is, the predictor or mediator is collected at prior time points than the outcome variable. We believe this is not sufficient. Instead, cross-lagged models, which measure all three types of variables at different time points, are necessary for testing mediation. Unfortunately, Asian researchers have again followed the footsteps of the suboptimal practice of time-lagged models. Using computer simulation data and a real-life dataset collected in China, we show that erroneous conclusions may be drawn even when the predictor, the mediator, and outcome variables are measured at different time waves under the time-lagged model. We propose a more appropriate procedure to use the cross-lagged model to test the exact causal ordering among the predictor, the mediator, and the outcome variable.

Keywords: Asian management research; Mediation; Time-lagged model; Cross-lagged model; Organizational socialization (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (10)

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DOI: 10.1007/s10490-015-9453-9

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