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将协变量纳入社会关系模型:一种处理感知者和目标效应测量误差的合理值方法。

Integrating Covariates into Social Relations Models: A Plausible Values Approach for Handling Measurement Error in Perceiver and Target Effects.

机构信息

a Leibniz Institute for Science and Mathematics Education , Kiel , Germany.

b Centre for International Student Assessment , Germany.

出版信息

Multivariate Behav Res. 2018 Jan-Feb;53(1):102-124. doi: 10.1080/00273171.2017.1406793.

DOI:10.1080/00273171.2017.1406793
PMID:29304292
Abstract

The Social Relations Model (SRM) is a conceptual and analytical approach to examining dyadic behaviors and interpersonal perceptions within groups. In an SRM, the perceiver effect describes a person's tendency to perceive other group members in a certain way, whereas the target effect measures the tendency to be perceived by others in certain ways. In SRM research, it is often of interest to relate these individual SRM effects to covariates. However, the estimated individual SRM effects might not provide a very reliable measure of the true, unobserved SRM effects, resulting in distorted estimates of associations with other variables. This article introduces a plausible values approach that allows users to correct for measurement error when assessing the association of individual SRM effects with other individual difference variables. In the plausible values approach, the latent, true individual SRM effects are treated as missing values and are imputed from an imputation model by applying Bayesian estimation techniques. In a simulation study, the statistical properties of the plausible values approach are compared with two approaches that have been used in previous research. A data example from educational psychology is presented to illustrate how the plausible values approach can be implemented with the software WinBUGS.

摘要

社会关系模型 (SRM) 是一种用于研究群体内二元行为和人际感知的概念和分析方法。在 SRM 中,感知者效应描述了一个人以某种方式感知其他群体成员的倾向,而目标效应则衡量了被他人以某种方式感知的倾向。在 SRM 研究中,通常有兴趣将这些个体 SRM 效应与协变量相关联。然而,估计的个体 SRM 效应可能无法提供真实、未观察到的 SRM 效应的非常可靠的衡量标准,从而导致与其他变量的关联的估计值失真。本文介绍了一种似然值方法,该方法允许用户在评估个体 SRM 效应与其他个体差异变量的关联时,对测量误差进行校正。在似然值方法中,潜在的、真实的个体 SRM 效应被视为缺失值,并通过应用贝叶斯估计技术从插补模型中进行插补。在一项模拟研究中,将似然值方法的统计性质与之前研究中使用的两种方法进行了比较。展示了教育心理学中的一个数据示例,说明如何使用 WinBUGS 软件实现似然值方法。

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