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Dyads in Organizational Research: Conceptual Issues and Multilevel Analyses

机译:组织研究中的二元论:概念问题和多层次分析

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摘要

Although extensive work exists on multilevel theory building, testing and inference drawing in organizational research, work focusing on interpersonal relationships and the dyad as a level of analysis is scarcer compared to research focusing on individuals, groups/teams, and organizations. This scarcity is attributable to conceptual and methodological challenges in modeling dyads as a level of analysis. To address these challenges, we first present a discussion of the conceptualization of different dyadic configurations in work settings. Then, drawing on this conceptual treatment, we develop and illustrate the application of Random Coefficient Modeling (RCM) via nesting for independent dyads and cross-classification for dependent dyads in work settings. Across both independent and dependent dyads, we illustrate the application of Within and Between Analysis (WABA), another multilevel technique for dyadic analyses. RCM and WABA stem from differing statistical assumptions and are capable of testing different kinds of multilevel questions. We close with prescriptive implications for future multilevel conceptualization and data analysis using RCM and WABA, particularly involving interpersonal work relationships and dyads.
机译:尽管在组织研究中进行了多层次的理论构建,测试和推理绘图方面的广泛工作,但与针对个人,团体/团队和组织的研究相比,以人际关系和双性为分析水平的工作却很少。这种稀缺性归因于在将二元模型作为分析级别进行建模时的概念和方法挑战。为了解决这些挑战,我们首先介绍工作环境中不同二进位配置的概念化。然后,利用这种概念上的处理,我们通过工作中的独立二元组嵌套和交叉二元组交叉分类来开发和说明随机系数模型(RCM)的应用。在独立和依赖的二元组中,我们说明了内部和之间分析(WABA)的应用,这是另一种用于二进位分析的多级技术。 RCM和WABA源于不同的统计假设,并且能够测试不同种类的多层次问题。在结束时,我们将对使用RCM和WABA进行的未来多层次概念化和数据分析具有规范意义,特别是涉及人际工作关系和二分法。

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