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| 앵커 기반 최소 임상적 중요 변화량(Minimal Important Difference)× | 내용 타당도 비율 (Content Validity Ratio, CVR)× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1989 | 1975 |
| 창시자≠ | Guyatt, Jaeschke, and Singer | Charles H. Lawshe |
| 유형≠ | Minimal clinically important difference estimation | Expert panel content validity assessment |
| 원전≠ | Jaeschke, R., Singer, J., & Guyatt, G. H. (1989). Measurement of health status: Ascertaining the minimal clinically important difference. Controlled Clinical Trials, 10(4), 407-415. DOI ↗ | Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563-575. link ↗ |
| 별칭 | MCID, Minimal clinically important difference, Anchor-based MCID, Minimal important change | CVR, Content validity index, Expert judgment content validity, Lawshe CVR |
| 관련 | 4 | 4 |
| 요약≠ | The anchor-based method for establishing Minimal Clinically Important Difference (MCID) is a technique for determining the smallest change in a patient-reported outcome (PRO) that patients or clinicians perceive as meaningful or important. Pioneered by Guyatt, Jaeschke, and Singer in 1989, this approach anchors changes in outcome scores to external clinically meaningful events or judgments, enabling researchers and clinicians to interpret whether treatment effects represent real, patient-relevant improvements. | The Content Validity Ratio (CVR) is a quantitative method developed by Charles Lawshe in 1975 for evaluating the extent to which items in a measurement instrument are relevant and representative of a target construct. The method aggregates expert panel judgments into a single validity coefficient for each item, enabling researchers to identify and retain only those items deemed essential by domain experts. CVR provides objective support for content validity claims during scale development. |
| ScholarGate데이터셋 ↗ |
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