| 000 | 01471pab a2200193 454500 | ||
|---|---|---|---|
| 008 | 180718b2000 xxu||||| |||| 00| 0 eng d | ||
| 100 | _aMurphy, Kevin R. | ||
| 245 | _aInterrater correlations do not estimate the reliability of job performance ratings | ||
| 260 | _c2000 | ||
| 300 | _ap.873-900 | ||
| 362 | _aWinter | ||
| 520 | _aInterrater correlations are widely interpreted as estimates of the reliability of supervisory performance ratings, and are frequently used to correct the correlations between ratings and other measures (e.g., test scores) for attenuation. These interrater correlations do provide some useful information, but they are no reliability coefficients. There is clear evidence of systematic rater effects in performance appraisal, and variance associated with raters is not a source of random measurement error. We use generalizability theory to show why rater variance is not properly interpreted as measurement error, and show how such systematic rater effects can influence both reliability estimates and validity coefficients. We show conditions under which interrater correlations can either overestimate or underestimate reliability coefficients, and discuss reasons other than random measurement error for low interrater correlations. - Reproduced | ||
| 650 | _aEmployees - Rating of | ||
| 650 | _aJob satisfaction | ||
| 650 | _aJob evaluation | ||
| 700 | _aDe Shon, Richard | ||
| 773 | _aPersonnel Pschology | ||
| 909 | _a47317 | ||
| 999 |
_c47317 _d47317 |
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