Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Ristiintaulukointianalyysi× | Cramérin V× | |
|---|---|---|
| Tieteenala | Tilastotiede | Tilastotiede |
| Menetelmäperhe | Hypothesis test | Hypothesis test |
| Syntyvuosi≠ | 1900 | 1946 |
| Kehittäjä≠ | Karl Pearson | Harald Cramér |
| Tyyppi≠ | Descriptive and inferential categorical analysis | Nonparametric association measure |
| Alkuperäislähde≠ | 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 ↗ | Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press. ISBN: 978-0691080420 |
| Rinnakkaisnimet | crosstab, contingency table analysis, two-way frequency table, bivariate frequency analysis | cramers v, cramer v, phi coefficient (r×c), Cramer's V (İlişki Kuvveti) |
| Liittyvät≠ | 5 | 3 |
| Tiivistelmä≠ | Cross-tabulation analysis (contingency table analysis) is a foundational descriptive and inferential technique for examining the relationship between two or more categorical variables. It arranges observed frequencies into a table of rows and columns, enabling visual inspection of patterns and formal chi-square testing of independence between the variables. | Cramer's V is a nonparametric effect-size statistic that measures the strength of association between two categorical variables on a scale from 0 to 1. Introduced by the Swedish mathematician Harald Cramér in his 1946 work Mathematical Methods of Statistics, it generalises the phi coefficient to tables of any size, making it the standard companion statistic to the chi-square test. |
| ScholarGateAineisto ↗ |
|
|