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РЖ ВИНИТИ 15 (BI44) 97.03-04П1.104

Erez, Amir.
Using random rather than fixed effects models in meta-analysis: Implications for situational specificity and validity generalization [Text] / Amir Erez, Matthew C. Bloom, Martin T. Wells // Pers. Psychol. - 1996. - Vol. 49, N 2. - P275-396 . - ISSN 0031-5826
Перевод заглавия: Использование модели случайного, а не фиксированного эффекта в метаанализе: приложение к вопросу о ситуационной специфичности и генерализации валидности
Аннотация: Combining statistical information across studies (i.e., meta-analysis) is a standard research tool in applied psychology. The most common meta-analytic approach in applied psychology, the fixed effects approach, assumes that individual studies are homogeneous and are sampled from the same population. This model assumes that sampling error alone explains the majority of observed differences in study effect sizes and its use has lead some to challenge the notion of situational specificity in favor of validity generalization. We critique the fixed effects methodology and propose an advancement - the random effects model (RE) which provides estimates of how between-study differences influence the relationships under study. RE models assume that studies are heterogeneous since they are often conducted by different investigators under different settings. Parameter estimates of both models are compared and evidence in favor of the random effects approach is presented. We argue against use of the fixed effects model because it may lead to misleading conclusions about situational specificity. США, Dep. of Human Resource Studies, School of Industrial & Labor Relations, 393 Ives Hall, Cornell Univ., Ithaca NY 14853-3901. Библ. 51

ГРНТИ	15.21.69

ВИНИТИ 151.21.69.03
Рубрики: ПСИХОМЕТРИЯ
МЕТА-АНАЛИЗ
МЕТОДЫ ОБРАБОТКИ ДАННЫХ
ИНДИВИДУАЛЬНЫЕ РАЗЛИЧИЯ
ОБЗОРЫ
БИБЛ. 51
ЧЕЛОВЕК

Доп.точки доступа:
Bloom, Matthew C.; Wells, Martin T.

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