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首页> 外文期刊>Multivariate behavioral research >Modeling Common Traits and Method Effects in Multitrait-Multimethod Analysis
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Modeling Common Traits and Method Effects in Multitrait-Multimethod Analysis

机译:多特征多方法分析中的常见特征和方法效果建模

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摘要

Method effects often occur when constructs are measured by different methods. In traditional multitrait-multimethod (MTMM) models method effects are regarded as residuals, which implies a mean method effect of zero and no correlation between trait and method effects. Furthermore, in some recent MTMM models, traits are modeled to be specific to a certain method. However, often we are not interested in a method-specific trait but in a trait that is common to all methods. Here we present the Method Effect model with common trait factors, which allows modeling "common" trait factors and method factors that represent method "effects" rather than residuals. The common trait factors are defined as the mean of the true-score variables of all variables measuring the same trait and the method factors are defined as differences between true-score variables and means of true-score variables. Because the model allows estimating mean method effects, correlations between method factors, and correlations between trait and method factors, new research questions may be investigated. The application of the model is demonstrated by 2 examples studying the effect of negative, as compared with positive, item wording for the measurement of mood states.
机译:当用不同的方法测量结构时,通常会产生方法效果。在传统的多特征多方法(MTMM)模型中,方法效果被视为残差,这意味着平均方法效果为零,并且特征与方法效果之间没有相关性。此外,在一些最近的MTMM模型中,特征被建模为特定于某种方法。但是,通常我们对特定于方法的特征不感兴趣,而对所有方法都通用的特征感兴趣。在这里,我们介绍了具有公共特征因子的“方法效果”模型,该模型可以对“公共”特征因子和表示方法“效果”而不是残差的方法因子进行建模。共同特征因子定义为所有测量相同特征的变量的真实得分变量的均值,方法因子定义为真实得分变量和真实得分变量均值之间的差异。因为该模型允许估计平均方法效果,方法因素之间的相关性以及特征和方法因素之间的相关性,所以可能会研究新的研究问题。该模型的应用通过两个示例进行了研究,这些示例研究了否定项与积极项相比对情绪状态测量的影响。

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