Method Variance and Marker Variables: A Review and Comprehensive CFA Marker Technique
Method Variance and Marker Variables: A Review and Comprehensive CFA Marker Technique
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DOI：
10.1177/1094428110366036
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发表时间：
2010-04
影响因子：
9.5
通讯作者：
L. J. Williams;N. Hartman;Flávia Cavazotte
中科院分区：
文献类型：
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作者：
L. J. Williams;N. Hartman;Flávia Cavazotte
Lindell 和 Whitney 引入了部分相关技术，现在称为相关标记技术，用于使用理论上与研究中的实质性变量无关的标记变量来控制方法方差。本文（a）首先回顾了他们的具体分析计划，然后（b）回顾了遵循该计划的全部或部分的实证研究。作者还 (c) 描述了一种已应用于标记变量分析的结构方程方法，并 (d) 回顾了使用这种分析方法的实证研究。接下来，作者 (e) 制定了全面的验证性因子分析 (CFA) 标记技术分析计划，并 (f) 通过实证示例论证了该计划。最后，作者 (g) 描述了如何与其他方法方差过程一起检查标记变量，(h) 讨论理论在选择标记变量的关键步骤中的重要作用，以及 (i) 讨论综合 CFA 标记技术的假设和局限性。
Lindell and Whitney introduced a partial correlation technique, now referred to as the correlational marker technique, for controlling method variance using a marker variable that is theoretically unrelated to substantive variables in a study. This article (a) first reviews their specific analysis plan, and then (b) reviews empirical studies that have followed all or part of this plan. The authors also (c) describe a structural equation method that has been applied to the analysis of marker variables and (d) review empirical studies using this analytical approach. Next, the authors (e) develop a comprehensive confirmatory factor analysis (CFA) marker technique analysis plan, and (f) demonstrate this plan with an empirical example. Finally, the authors (g) describe how marker variables can be examined along with other method variance processes, (h) discuss the important role of theory in the critical step of selecting marker variables, and (i) discuss assumptions and limitations of the Comprehensive CFA Marker Technique.