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使用克伦巴赫α系数或组内相关系数估计连续测量的可靠性:迈向两种传统的整合。

Estimating the reliability of continuous measures with Cronbach's alpha or the intraclass correlation coefficient: toward the integration of two traditions.

作者信息

Bravo G, Potvin L

机构信息

Centre de Recherche en Gériatrie, Hôpital d'Youville, Sherbrooke, Québec, Canada.

出版信息

J Clin Epidemiol. 1991;44(4-5):381-90. doi: 10.1016/0895-4356(91)90076-l.

Abstract

The epidemiological literature has been ambiguous concerning reliability estimates for continuous variables. Reproducibility and internal consistency have been presented as different aspects of reliability, the former being estimated with some form of intraclass correlation coefficient, the latter with Cronbach's alpha. Based on demonstrations available in the literature this paper recalls that both estimates are based on the same measurement model and on the same definition of reliability. It also highlights the conditions under which they are equivalent and provides practical suggestions concerning the estimation of reliability, based on design considerations.

摘要

流行病学文献对于连续变量的可靠性估计一直含糊不清。再现性和内部一致性被视为可靠性的不同方面,前者用某种形式的组内相关系数来估计,后者用克朗巴哈系数来估计。基于文献中的论证,本文指出这两种估计都基于相同的测量模型和相同的可靠性定义。本文还强调了它们等效的条件,并基于设计考量,就可靠性估计提供了实用建议。

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