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。
| 基于Rasch模型的计算机化自适应测试（CAT-Rasch）× | 验证性因子分析（CFA）× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1960 (Rasch model); CAT integration from 1970s onward | 1969 |
| 提出者≠ | Georg Rasch (measurement model); adaptive testing formalized by Wainer, van der Linden, and others | Karl Gustav Jöreskog |
| 类型≠ | Adaptive psychometric measurement | Hypothesis-testing latent variable model |
| 开创性文献≠ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| 别名 | CAT-Rasch, Rasch-based CAT, adaptive Rasch testing, computerized adaptive measurement | CFA, confirmatory FA, measurement model, restricted factor analysis |
| 相关≠ | 5 | 4 |
| 摘要≠ | Computerized adaptive testing with the Rasch model selects items in real time based on each examinee's evolving ability estimate, so that every person receives a test precisely calibrated to their proficiency level. The result is a shorter, more efficient measurement instrument that loses none of the precision of a full-length fixed-form test. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
| ScholarGate数据集 ↗ |
|
|