方法对比
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| 偏相关× | Pearson积矩相关系数× | |
|---|---|---|
| 领域 | 统计学 | 统计学 |
| 方法族 | Hypothesis test | Hypothesis test |
| 起源年份≠ | 1924 | 1895 |
| 提出者≠ | R. A. Fisher | Karl Pearson |
| 类型≠ | Parametric correlation with covariate control | Parametric correlation |
| 开创性文献≠ | Fisher, R.A. (1924). The Distribution of the Partial Correlation Coefficient. Metron, 3, 329–332. link ↗ | Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI ↗ |
| 别名≠ | partial r, controlled correlation, Kısmi Korelasyon (Partial Correlation) | pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi |
| 相关≠ | 2 | 4 |
| 摘要≠ | Partial correlation measures the linear relationship between two continuous variables after removing the shared influence of one or more control variables. The technique was formalised by R. A. Fisher in 1924 and is the standard approach whenever a researcher suspects that a third variable inflates or suppresses the observed association between two variables of interest. | The Pearson product-moment correlation coefficient (r) is a parametric measure of the direction and strength of the linear association between two continuous variables. Introduced by Karl Pearson in 1895, it remains the most widely used bivariate correlation statistic in the social, health, and natural sciences. The coefficient ranges from −1 (perfect negative linear relationship) to +1 (perfect positive), with 0 indicating no linear association. |
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