השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח השוואת שיטות של בְּלַנְד-אַלְטְמַן× | מקדם קאפה של כהן× | |
|---|---|---|
| תחום | סטטיסטיקה | סטטיסטיקה |
| משפחה | Hypothesis test | Hypothesis test |
| שנת המקור≠ | 1986 | 1960 |
| הוגה השיטה≠ | J. Martin Bland & Douglas G. Altman | Jacob Cohen |
| סוג≠ | Graphical and statistical method comparison | Inter-rater reliability coefficient |
| מקור מכונן≠ | Bland, J.M. & Altman, D.G. (1986). Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement. Lancet, 327(8476), 307–310. DOI ↗ | Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46. DOI ↗ |
| כינויים≠ | Bland-Altman plot, limits of agreement analysis, method agreement analysis, Bland-Altman Uyum Analizi | kappa coefficient, kappa statistic, Cohen's Kappa (Değerlendiriciler Arası Uyum) |
| קשורות≠ | 5 | 3 |
| תקציר≠ | The Bland-Altman analysis is a graphical and statistical technique for assessing agreement between two measurement methods applied to the same subjects. Introduced by J. Martin Bland and Douglas G. Altman in their landmark 1986 Lancet paper, it plots the difference between the two methods against their mean for each subject, and derives the bias (mean difference) along with limits of agreement (LoA) that capture 95% of differences in the population. | Cohen's kappa (κ) is a statistical measure of inter-rater reliability for categorical classifications, introduced by Jacob Cohen in 1960. Unlike simple percent agreement, kappa corrects for the level of agreement that would be expected purely by chance, making it the standard metric when two raters independently assign observations to the same set of mutually exclusive categories. |
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