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| 코크란 Q 검정× | 카이제곱 독립성 검정× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열 | Hypothesis test | Hypothesis test |
| 기원 연도≠ | 1950 | 1900 |
| 창시자≠ | William G. Cochran | Karl Pearson |
| 유형≠ | Nonparametric proportions comparison | Nonparametric test of association |
| 원전≠ | Cochran, W. G. (1950). The comparison of percentages in matched samples. Biometrika, 37(3–4), 256–266. DOI ↗ | Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175. DOI ↗ |
| 별칭≠ | Cochran Q Testi, Cochran's Q, Q test for related proportions | chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi |
| 관련≠ | 4 | 2 |
| 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). | The chi-square test of independence is a nonparametric hypothesis test that examines whether two categorical variables are associated by comparing observed and expected frequencies in a cross-tabulation. It rests on the chi-square criterion introduced by Karl Pearson in 1900. |
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