模棱两可
统计过程控制
控制(管理)
差异(会计)
幻觉
统计分析
心理学
控制变量
计算机科学
计量经济学
统计
认知心理学
数学
人工智能
过程(计算)
会计
经济
操作系统
程序设计语言
作者
Kevin D. Carlson,Jinpei Wu
标识
DOI:10.1177/1094428111428817
摘要
The authors extend previous recommendations for improved control variable (CV) practice in management research by mapping the objectives for using statistical control to recommendations for research practice. Including CVs in research designs to permit statistical control of “nuisance” variance is a common research practice that is subject to well-documented and potentially serious problems. Yet because CVs are frequently weakly related to focal variables, they rarely influence the interpretation of results. As a result, current practice offers an illusion of statistical control when in fact little control actually occurs. The authors extend the growing literature on CV practice by examining the ambiguity of researchers' stated purposes for using statistical control that makes it difficult to determine whether common CV practice accomplishes any of these intents effectively. Guidelines for improving research practice are offered, including adopting a conservative stance toward the inclusion of CVs in the analysis of quasiexperimental and correlational designs guided by the principle “When in doubt, leave them out.”
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