CONFIRMATORY FACTOR-ANALYSIS AND ITEM RESPONSE THEORY - 2 APPROACHES FOR EXPLORING MEASUREMENT INVARIANCE
CONFIRMATORY FACTOR-ANALYSIS AND ITEM RESPONSE THEORY - 2 APPROACHES FOR EXPLORING MEASUREMENT INVARIANCE
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DOI：
10.1037/0033-2909.114.3.552
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发表时间：
1993-11-01
影响因子：
22.4
通讯作者：
PUGH, RH
中科院分区：
文献类型：
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作者：
REISE, SP;WIDAMAN, KF;PUGH, RH
本研究探讨了验证性因素分析（CFA）和项目反应理论（IRT）模型在心理测量可比性检验中的应用。这两种程序都被用来调查明尼苏达州和中国收集的情绪评级是否具有可比性。讨论了若干问题。第一个问题是建立一个跨群体的共同测量量表，其中涉及特质指标的全部或部分测量不变性。结果表明，使用CFA或IRT模型，测试项目的功能差异，作为跨组的特质指标不需要干扰比较考生在同一个特质维度。第二，解决了模型拟合问题。本文提出用个体拟合统计量来判断IRT模型的实际拟合程度。最后，对未来的研究方向提出了建议。
This study investigated the utility of confirmatory factor analysis (CFA) and item response theory (IRT) models for testing the comparability of psychological measurements. Both procedures were used to investigate whether mood ratings collected in Minnesota and China were comparable. Several issues were addressed. The first issue was that of establishing a common measurement scale across groups, which involves full or partial measurement invariance of trait indicators. It is shown that using CFA or IRT models, test items that function differentially as trait indicators across groups need not interfere with comparing examinees on the same trait dimension. Second, the issue of model fit was addressed. It is proposed that person-fit statistics be used to judge the practical fit of IRT models. Finally, topics for future research are suggested.