管理研究中的控制变量

Guclu Atinc, Marcia J. Simmering
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引用次数: 4

摘要

在管理研究中,使用控制变量来改进对数据统计关系的推断是普遍存在的。在管理的微观和宏观子领域中,控制变量被包括在内,以消除混杂方差,并为研究人员提供解释发现的增强能力。学者们已经探索了在各种统计分析中包含控制变量的理论基础和统计效果。此外,围绕它们的使用和报告的最佳实践存在着大量的文献。具体而言,研究人员已被指示在手稿中报告有关使用控制变量的理论依据、测量方法和统计分析中包含控制变量的更详细信息。此外,最近的研究表明,在许多情况下,删除控制变量的价值。尽管有证据表明,推荐使用控制变量的最佳实践的文章被越来越多地引用,但研究人员在遵循这些建议方面仍然存在滞后。最后,对控制变量的未来研究有一些有价值的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control Variables in Management Research
The use of control variables to improve inferences about statistical relationships in data is ubiquitous in management research. In both the micro- and macro-subfields of management, control variables are included to remove confounding variance and provide researchers with an enhanced ability to interpret findings. Scholars have explored the theoretical underpinnings and statistical effects of including control variables in a variety of statistical analyses. Further, a robust literature surrounding the best practices for their use and reporting exists. Specifically, researchers have been directed to report more detailed information in manuscripts regarding the theoretical rationale for the use of control variables, their measurement, and their inclusion in statistical analysis. Moreover, recent research indicates the value of removing control variables in many cases. Although there is evidence that articles recommending best practices for control variables use are increasingly being cited, there is also still a lag in researchers following recommendations. Finally, there are avenues for valuable future research on control variables.
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