Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Teste de McNemar× | Teste Qui-Quadrado de Independência× | |
|---|---|---|
| Área | Estatística | Estatística |
| Família | Hypothesis test | Hypothesis test |
| Ano de origem≠ | 1947 | 1900 |
| Autor original≠ | Quinn McNemar | Karl Pearson |
| Tipo≠ | Nonparametric test for paired binary data | Nonparametric test of association |
| Fonte seminal≠ | McNemar, Q. (1947). Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2), 153–157. 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 ↗ |
| Outros nomes | McNemar chi-square test, test for correlated proportions, paired binary test, McNemar Testi | chi-squared test, Pearson's chi-square test, test of independence, ki-kare bağımsızlık testi |
| Relacionados≠ | 5 | 2 |
| Resumo≠ | 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. | 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. |
| ScholarGateConjunto de dados ↗ |
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