Raju Nambury S, Laffitte Larry J, Byrne Barbara M
Institute of Psychology, Illinois Institute of Technology, Chicago 60616-3793, USA.
J Appl Psychol. 2002 Jun;87(3):517-29. doi: 10.1037/0021-9010.87.3.517.
Current interest in the assessment of measurement equivalence emphasizes 2 major methods of analysis. The authors offer a comparison of a linear method (confirmatory factor analysis) and a nonlinear method (differential item and test functioning using item response theory) with an emphasis on their methodological similarities and differences. The 2 approaches test for the equality of true scores (or expected raw scores) across 2 populations when the latent (or factor) score is held constant. Both approaches can provide information about when measurement nonequivalence exists and the extent to which it is a problem. An empirical example is used to illustrate the 2 approaches.
当前对测量等效性评估的关注主要强调两种主要分析方法。作者对线性方法(验证性因子分析)和非线性方法(使用项目反应理论的差异项目和测试功能分析)进行了比较,重点在于它们在方法上的异同。这两种方法在潜在(或因子)得分保持不变时,检验两个总体中真分数(或预期原始分数)的相等性。两种方法都可以提供有关测量不等效何时存在以及其成为问题的程度的信息。文中通过一个实证例子来说明这两种方法。