방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 코크란 Q 검정× | 맥니마르 검정× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열 | Hypothesis test | Hypothesis test |
| 기원 연도≠ | 1950 | 1947 |
| 창시자≠ | William G. Cochran | Quinn McNemar |
| 유형≠ | Nonparametric proportions comparison | Nonparametric test for paired binary data |
| 원전≠ | Cochran, W. G. (1950). The comparison of percentages in matched samples. Biometrika, 37(3–4), 256–266. DOI ↗ | McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. DOI ↗ |
| 별칭≠ | Cochran Q Testi, Cochran's Q, Q test for related proportions | McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi |
| 관련≠ | 4 | 5 |
| 요약≠ | Cochran's Q test is a nonparametric hypothesis test introduced by William G. Cochran in 1950 for comparing proportions across three or more related binary measurements. It extends McNemar's test to the multiple-condition case and is the method of choice when every participant is observed under each condition and the outcome is recorded as a simple success/failure (1/0). | McNemar's test is a nonparametric hypothesis test that compares two paired (correlated) binary proportions, such as a yes/no measurement taken on the same subjects before and after an intervention. It was introduced by Quinn McNemar in 1947 and works on the 2×2 table of matched outcomes. |
| ScholarGate데이터셋 ↗ |
|
|