规则网络
偏差(统计)
心理学
人际交往
概化理论
社会心理学
实证研究
统计
结构方程建模
数学
发展心理学
作者
Jeremy D. Mackey,Charn P. McAllister,B. Parker Ellen,Jack Carson
标识
DOI:10.1177/0149206319862612
摘要
Workplace deviance research has expanded rapidly over the past decade. Despite the expansive body of research available, we have an incomplete understanding of the measurement, magnitude, and direction of relationships within workplace deviance’s nomological network. We draw from 235 empirical samples of data (k = 235, N = 66,990) to conduct random-effects meta-analyses of interpersonal (k = 156, N = 42,239) and organizational (k = 206, N = 60,008) workplace deviance research so we can build the solid foundation necessary to advance the conversation in this literature. We use an exploratory meta-analytic approach and the horizontal contrasting method of theory elaboration to provide a nuanced understanding of the relationship between interpersonal and organizational deviance (ρ = .67, k = 110, N = 30,426) as well as determine the magnitude and generalizability (i.e., external validity) of relationships within their nomological networks. We find some evidence of differences (i.e., heterogeneity) in the measurement and magnitude of relationships across contexts. Overall, we conduct a state-of-the-art meta-analysis that leverages contemporary meta-analytic techniques and the extensive body of empirical workplace deviance research available to improve our understanding of the measurement of workplace deviance and relationships within its nomological network. Our study instigates new debates about the completeness of our understanding of workplace deviance and provides the empirical building blocks necessary for this literature to reach its unrealized potential.
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