Multidimensional Modeling of Traits and Response Styles
Multidimensional Modeling of Traits and Response Styles
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特征和反应风格的多维建模
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Claus H. Carstensen
中科院分区：
文献类型：
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作者：
Eunike Wetzel;Claus H. Carstensen
除了回答者的潜在特质水平外，回答风格也会影响项目回答。一个共同的问题是，个人之间的比较的基础上的总和分数可能会无效的反应风格的影响。本文探讨了一种多维的方法来建模特质和反应风格同时进行。模型将不同的反应风格，以及人格特质（大五方面）进行了比较模型拟合。研究了特质与反应风格之间的关系，并比较了不同的极端反应风格（ERS）建模方法对特质估计的影响。所有多维模型显示出更好的拟合比一维模型，表明响应风格影响项目响应与ERS显示最大的增量方差解释。ERS和中点反应风格主要是特质独立的，而默许和不默许与几个人格特质密切相关。预期的后验估计参与者的特质水平没有显着不同的二维和一维模型时，一组异质项目被用来建模ERS。当相同的项目被用来模拟ERS和性状时，性状估计发生了轻微的调整，尽管这种方法中的ERS维度只反映了特定规模的ERS，而不是一般的ERS趋势。
Response styles can influence item responses in addition to a respondent’s latent trait level. A common concern is that comparisons between individuals based on sum scores may be rendered invalid by response style effects. This paper investigates a multidimensional approach to modeling traits and response styles simultaneously. Models incorporating different response styles as well as personality traits (Big Five facets) were compared regarding model fit. Relationships between traits and response styles were investigated and different approaches to modeling extreme response style (ERS) were compared regarding their effects on trait estimates. All multidimensional models showed a better fit than the unidimensional models, indicating that response styles influenced item responses with ERS showing the largest incremental variance explanation. ERS and midpoint response style were mainly trait-independent whereas acquiescence and disacquiescence were strongly related to several personality traits. Expected a posteriori estimates of participants’ trait levels did not differ substantially between two-dimensional and unidimensional models when a set of heterogeneous items was used to model ERS. A minor adjustment of trait estimates occurred when the same items were used to model ERS and the trait, though the ERS dimension in this approach only reflected scale-specific ERS, rather than a general ERS tendency.