方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 验证性因子分析 (CFA)× | 项目功能差异 (DIF) 分析× | |
|---|---|---|
| 领域≠ | 统计学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1969 | 1988 |
| 提出者≠ | Karl Jöreskog | Paul W. Holland & Dorothy T. Thayer (Mantel-Haenszel approach, 1988) |
| 类型≠ | Confirmatory latent variable model | Item-level fairness / measurement equivalence analysis |
| 开创性文献≠ | Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363 | Holland, P. W. & Thayer, D. T. (1988). Differential Item Performance and the Mantel-Haenszel Procedure. ETS Research Report Series. link ↗ |
| 别名≠ | Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model | Madde Yanlılık Analizi (DIF — Differential Item Functioning), item bias analysis, Mantel-Haenszel DIF, Lord chi-square DIF |
| 相关 | 4 | 4 |
| 摘要≠ | Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships. | Differential Item Functioning analysis examines whether examinees from different groups — such as gender, ethnicity, or language background — who have the same underlying ability respond differently to a test item. First formalised by Holland and Thayer in 1988 via the Mantel-Haenszel procedure, it is the principal tool in modern test development for detecting and removing item bias. |
| ScholarGate数据集 ↗ |
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