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| 组内相关系数 (ICC)× | 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≠ | 1979 | 1895 |
| 提出者≠ | Shrout & Fleiss | Karl Pearson |
| 类型≠ | Reliability / agreement coefficient | Parametric correlation |
| 开创性文献≠ | Shrout, P.E. & Fleiss, J.L. (1979). Intraclass Correlations: Uses in Assessing Rater Reliability. Psychological Bulletin, 86(2), 420–428. DOI ↗ | Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. DOI ↗ |
| 别名 | ICC, intraclass correlation, rater reliability coefficient, Sınıf İçi Korelasyon Katsayısı (ICC) | pearson r, product-moment correlation, bivariate correlation, Pearson Korelasyon Analizi |
| 相关≠ | 5 | 4 |
| 摘要≠ | The Intraclass Correlation Coefficient (ICC) is a parametric reliability statistic that quantifies the degree of agreement or consistency among repeated measurements or multiple raters on a continuous outcome. The modern six-form taxonomy was established by Shrout and Fleiss in 1979 and remains the standard framework for selecting and reporting ICC in inter-rater reliability, test-retest repeatability, and multilevel-data analyses. | 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. |
| ScholarGate数据集 ↗ |
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