방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 단축형 확인적 요인분석 (SF-CFA)× | 측정 불변성 검증× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1990s–2000s | 2000 |
| 창시자≠ | Building on CFA methodology (Jöreskog, 1969) applied to abbreviated scale contexts | Vandenberg & Lance |
| 유형≠ | Confirmatory latent-variable model | Multi-group confirmatory factor analysis procedure |
| 원전≠ | Byrne, B. M. (2008). Structural Equation Modeling with EQS: Basic Concepts, Applications, and Programming (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805841268 | 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 | SF-CFA, abbreviated scale CFA, short-form validation, brief scale factor analysis | Factorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği |
| 관련≠ | 4 | 3 |
| 요약≠ | Short-form confirmatory factor analysis applies CFA to a reduced subset of items drawn from a longer validated scale, testing whether the abbreviated version preserves the original factor structure with acceptable model fit and reliability. It is a standard step in short-form scale development and validation. | 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. |
| ScholarGate데이터셋 ↗ |
|
|