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| 다집단 내용 타당도× | 측정 불변성 검증× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1986–2006 | 2000 |
| 창시자≠ | Lynn (1986); extended by Polit & Beck (2006) | Vandenberg & Lance |
| 유형≠ | Validity assessment / expert judgment aggregation | Multi-group confirmatory factor analysis procedure |
| 원전≠ | Polit, D. F. & Beck, C. T. (2006). The content validity index: Are you sure you know what's being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497. DOI ↗ | Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70. DOI ↗ |
| 별칭 | multi-group CVI, cross-group content validity, subgroup content validity index, multi-panel content validity | Factorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği |
| 관련≠ | 4 | 3 |
| 요약≠ | Multi-group content validity extends the standard content validity index (CVI) procedure by computing and comparing item- and scale-level validity indices across two or more distinct expert panels or subgroups. It ensures that a scale's items are judged as relevant and representative not only overall but also within each subgroup of interest, supporting cross-group generalizability of the instrument. | Measurement invariance testing is a sequence of nested confirmatory factor analysis (CFA) models that examines whether a psychological scale measures the same latent construct in the same way across distinct groups or time points. Systematized and popularized by Vandenberg and Lance (2000), the procedure tests a hierarchy of constraints — from identical factor patterns to identical item intercepts — so that researchers can justify meaningful group comparisons on latent means. |
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