Suppr超能文献

在使用BUGS/JAGS的混合效应位置量表模型中对消极和积极情绪的个体内变异中的个体差异进行建模。

Modeling Individual Differences in Within-Person Variation of Negative and Positive Affect in a Mixed Effects Location Scale Model Using BUGS/JAGS.

作者信息

Rast Philippe, Hofer Scott M, Sparks Catharine

机构信息

a Department of Psychology , University of Victoria.

出版信息

Multivariate Behav Res. 2012 Mar 30;47(2):177-200. doi: 10.1080/00273171.2012.658328.

Abstract

A mixed effects location scale model was used to model and explain individual differences in within-person variability of negative and positive affect across 7 days (N=178) within a measurement burst design. The data come from undergraduate university students and are pooled from a study that was repeated at two consecutive years. Individual differences in level and change in mood was modeled with a random intercept and random slope where the residual within-person variability was allowed to vary across participants. Additionally changes in within-person variability were explained by the inclusion of a time-varying predictor indicating the severity of daily stressors. This model accounted for 2 location and 2 scale effects and provided evidence that individuals who reported higher severity in daily stressors also exhibited greater variability in affect-but only for participants who showed low overall affect variability and who reported low average negative affect. Those who were more variable in their affect reports overall were less reactive to daily stressors in the sense that their high levels of affect variability remained high. We describe the utility of this model for further research on individual variation and change.

摘要

在测量突发设计中,使用混合效应位置尺度模型对178名个体在7天内消极和积极情绪的个体内变异性差异进行建模和解释。数据来自大学生,是从连续两年重复进行的一项研究中汇总而来的。情绪水平和变化的个体差异通过随机截距和随机斜率进行建模,其中允许个体内残差变异性在参与者之间有所不同。此外,通过纳入一个随时间变化的预测因子(表明每日应激源的严重程度)来解释个体内变异性的变化。该模型考虑了2个位置效应和2个尺度效应,并提供了证据表明,报告每日应激源严重程度较高的个体在情绪方面也表现出更大的变异性——但仅限于那些总体情绪变异性较低且平均消极情绪报告较低的参与者。那些总体情绪报告变异性较高的人对每日应激源的反应较小,因为他们高水平的情绪变异性仍然很高。我们描述了该模型在个体变异和变化的进一步研究中的效用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验