社会关系结构方程模型中的潜在互惠参与和准确性变量。

IF 5.3 3区 心理学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Multivariate Behavioral Research Pub Date : 2024-08-07 DOI:10.1080/00273171.2024.2386060
David Jendryczko, Fridtjof W Nussbeck
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引用次数: 0

摘要

社会关系模型(SRM)是分析由循环设计产生的二元数据的标准方法。该模型可用于估算相关系数,以反映样本或总体层面上个体和二元组判断的整体互惠性或准确性。在社会关系结构方程模型框架内,基于随机测量和经典测试理论的统计基础,我们展示了如何对多指标 SRM 进行修改,以捕捉互惠参与的个体间和社群间差异或互惠准确性的个体间差异。所有模型都在一个包含模仿、喜欢和元喜欢(被喜欢的信念)测量指标的开放式循环数据集上进行了说明。结果表明,参与互惠模仿的人在与某人互动后会得到更多的喜欢,而高估自己的受欢迎程度与被人喜欢的程度较低密切相关。本文讨论了模型的进一步应用、优势和局限性。
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Latent Reciprocal Engagement and Accuracy Variables in Social Relations Structural Equation Modeling.

The social relations model (SRM) is the standard approach for analyzing dyadic data stemming from round-robin designs. The model can be used to estimate correlation-coefficients that reflect the overall reciprocity or accuracy of judgements for individual and dyads on the sample- or population level. Within the social relations structural equation modeling framework and on the statistical grounding of stochastic measurement and classical test theory, we show how the multiple indicator SRM can be modified to capture inter-individual and inter-dyadic differences in reciprocal engagement or inter-individual differences in reciprocal accuracy. All models are illustrated on an open-access round-robin data set containing measures of mimicry, liking, and meta-liking (the belief to be liked). Results suggest that people who engage more strongly in reciprocal mimicry are liked more after an interaction with someone and that overestimating one's own popularity is strongly associated with being liked less. Further applications, advantages and limitations of the models are discussed.

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来源期刊
Multivariate Behavioral Research
Multivariate Behavioral Research 数学-数学跨学科应用
CiteScore
7.60
自引率
2.60%
发文量
49
审稿时长
>12 weeks
期刊介绍: Multivariate Behavioral Research (MBR) publishes a variety of substantive, methodological, and theoretical articles in all areas of the social and behavioral sciences. Most MBR articles fall into one of two categories. Substantive articles report on applications of sophisticated multivariate research methods to study topics of substantive interest in personality, health, intelligence, industrial/organizational, and other behavioral science areas. Methodological articles present and/or evaluate new developments in multivariate methods, or address methodological issues in current research. We also encourage submission of integrative articles related to pedagogy involving multivariate research methods, and to historical treatments of interest and relevance to multivariate research methods.
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