Suppr超能文献

人格变量可预测跨物体的与力量相关的态度维度。

Personality variables predict strength-related attitude dimensions across objects.

机构信息

Clemson University, Clemson, SC 29634-1355, USA.

出版信息

J Pers. 2009 Jun;77(3):859-82. doi: 10.1111/j.1467-6494.2009.00567.x. Epub 2009 Mar 25.

Abstract

We examined personality predictors of different attitude strength-related dimensions across objects. Participants responded to questions regarding 11 attitude objects that assessed the overall evaluation of the object and the strength-related dimensions of importance, certainty, and relevance. Confirmatory factor analyses supported a 4-factor solution underlying the self-report and extremity dimensions across the 11 attitude objects, with importance and relevance and certainty and extremity loading on 2 second-order factors. The need to evaluate, need for affect, sense of coherence, dogmatism, and personal fear of invalidity were all related at the bivariate level to at least one strength-related dimension. The need to evaluate and the need for affect independently predicted variance in certainty/extremity across the attitude objects and sense of coherence and dogmatism predicted unique variance in importance/relevance across objects. Discussion focuses on the possible processes by which personality variables predict strength-related dimensions across objects.

摘要

我们考察了不同态度强度相关维度的人格预测因子在不同对象之间的表现。参与者回答了关于 11 个态度对象的问题,这些问题评估了对对象的整体评价以及与强度相关的重要性、确定性和相关性维度。验证性因素分析支持了 11 个态度对象的自我报告和极端性维度的 4 因素解决方案,重要性和相关性以及确定性和极端性在 2 个二阶因素上加载。在双变量水平上,评估的需要、情感的需要、意义感、教条主义和个人对无效性的恐惧都与至少一个强度相关维度有关。评估的需要和情感的需要独立预测了态度对象中确定性/极端性的方差,意义感和教条主义预测了对象间重要性/相关性的独特方差。讨论集中在人格变量通过哪些可能的过程来预测对象间的强度相关维度。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验