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| 컴퓨터화 적응형 검사 측정 불변성× | 다집단 측정 불변성 검정× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1990s–2000s | 1971–1993 |
| 창시자≠ | Building on Meredith (1993) for invariance and Lord (1980) for adaptive testing | Jöreskog, K. G. (1971); Meredith, W. (1993) |
| 유형≠ | Measurement equivalence testing in adaptive testing contexts | Model comparison / hypothesis testing |
| 원전≠ | Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0805864946 | Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗ |
| 별칭 | CAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CAT | measurement invariance, factorial invariance, cross-group invariance, MI testing |
| 관련 | 6 | 6 |
| 요약≠ | Computerized adaptive test measurement invariance evaluates whether a CAT instrument measures the same latent construct with the same psychometric properties across different groups (e.g., gender, language, clinical vs. community) or time points. It combines IRT-based adaptive test frameworks with measurement equivalence testing to ensure fair and comparable score interpretation. | Multi-group measurement invariance testing examines whether a latent construct is measured in the same way across two or more distinct groups — such as cultures, genders, or age cohorts. It is a prerequisite for meaningful group comparisons of latent means or relationships, ensuring that observed score differences reflect true differences rather than measurement artifacts. |
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