Capturing bias in structural equation modeling
Capturing bias in structural equation modeling
复制标题
捕获结构方程建模中的偏差
DOI：
10.4324/9781315537078-1
复制
发表时间：
2018
影响因子：
6.8
通讯作者：
F. Vijver
中科院分区：
文献类型：
--
作者：
F. Vijver
等效性研究已经成熟。30年前，很少有概念模型和统计技术来解决跨文化研究中系统测量误差的来源（早期的例子，见Cleary & Hilton, 1968; Lord, 1977, 1980; Poortinga, 1971）。这种情况已经改变；在过去的几十年里，概念模型和统计技术得到了发展和完善。已经发表了许多实证例子。人们越来越意识到这一领域对跨文化理论发展的重要性。越来越多的期刊要求提交跨文化研究手稿的作者提供支持研究措施等效性的证据。然而，该领域的蓬勃发展并没有导致概念化、方法和分析的趋同。例如，教育测试侧重于分析作为跨文化比较问题来源的项目，通常使用项目反应理论（例如，Emenogu & Childs, 2005）。在人格心理学中，探索性因素分析通常被用作一种工具来检查问卷中潜在因素的相似性（例如，麦克雷，2002）。在调查研究和市场营销中，结构方程模型（SEM）是最常用的（例如，Steenkamp & Baumgartner, 1998）。从理论角度看，这些模型是相互关联的；例如，Brown（2015）描述了项目反应理论和验证性因素分析（源于一般潜在变量模型）的关系；另见Glockner-Rist & 4Hoijtink， 2003)。然而，从实践的角度来看，这些模型可以看作是相对独立的范式；对于一个批判性的局外人来说，实体领域和分析方法之间的联系是相当武断和难以理解的。
Equivalence studies are coming of age. Thirty years ago there were few conceptual models and statistical techniques to address sources of systematic measurement error in cross-cultural studies (for early examples, see Cleary & Hilton, 1968; Lord, 1977, 1980; Poortinga, 1971). This picture has changed; in the last decades conceptual models and statistical techniques have been developed and refined. Many empirical examples have been published. There is a growing awareness of the importance of the field for the advancement of cross-cultural theorizing. An increasing number of journals require authors who submit manuscripts of cross-cultural studies to present evidence supporting the equivalence of the study measures. Yet the burgeoning of the field has not led to a convergence in conceptualizations, methods, and analyses. For example, educational testing focuses on the analysis of items as sources of problems of cross-cultural comparisons, often using item response theory (e.g., Emenogu & Childs, 2005). In personality psychology, exploratory factor analysis is commonly applied as a tool to examine similarity of factors underlying a questionnaire (e.g., McCrae, 2002). In survey research and marketing, structural equation modeling (SEM) is most frequently employed (e.g., Steenkamp & Baumgartner, 1998). From a theoretical perspective, these models are related; for example, the relationship of item response theory and confirmatory factor analysis (as derived from a general latent variable model) has been described by Brown (2015; see also Glockner-Rist & 4Hoijtink, 2003). However, from a practical perspective, the models can be seen as relatively independent paradigms; for a critical outsider the link between substantive field and analysis method is rather arbitrary and difficult to comprehend.