A Procedure for Estimation of Trait, Method, and Error Variance Attributable to a Measure1 2
A Procedure for Estimation of Trait, Method, and Error Variance Attributable to a Measure1 2
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估计可归因于测量的特征、方法和误差方差的程序1 2
DOI：
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发表时间：
1970
期刊：
影响因子：
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通讯作者：
L. Wolins
中科院分区：
文献类型：
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作者：
R. Boruch;L. Wolins
为了描述本文所考虑的问题以及解决方案所依据的基本原理，必须遵守以下定义。特质被定义为其反应被观察到的受试者的任何潜在的可测量属性，例如，方法是指用于观察或评估特质的手段，例如同伴评级、心理学家评级、问卷调查等。测量是指施用于受试者以获得观察结果的特定特质-方法组合。多特质-多方法矩阵由使用多种方法评估同一组特质中每个成员的测量之间的相关性组成。本文描述的过程是基于多特征多方法数据的显式模型。正式模型与经典的坎贝尔和Fiske（1959）的模型有关。该程序也是基于Wolins（1964）和Stanley（1961）以前的研究。另一
IN order to delineate the problem considered in this paper, and the rationale upon which the solution is based, the following definitions mill be adhered to. A trait is defined as any potentially measureable attribute of the subject whose responses are observed, e.g., anxiety, neuroticism, morale, etc. A method refers to the means used to ob: -ewe or assess the trait, e.g. peer ratings, psychologist’s ratings, questionnaires, etc. The measure refers to the particular trait-method combination administered to a subject to obtain an observation. The multitrait-multimethod matrix is comprised of correlations between measures which use a number of methods to assess each member of the same set of traits. The procedure described in this paper is based on explicit models for multitrait-multimethod data. The formal models are related to models implicit in the classical Campbell and Fiske (1959) presentation. The procedure is based also on previous research conducted by Wolins (1964) and by Stanley (1961). Another