Modeling Individual Differences in Automatic Evaluation Measured by Evaluative Decision Task

Author:

Rebernjak Blaž1,Buško Vesna1

Affiliation:

1. Faculty of Humanities and Social Sciences, University of Zagreb, Croatia

Abstract

The study concerns the measurement of individual differences in the automatic processing of affective stimuli within an affective priming paradigm. Automatic processing measures, termed processing tendencies, were defined by parcels composed of difference score items of the Evaluative Decision Task reaction time variables. Confirmatory factor analytic framework was used (1) to construct parcels of individual items and to evaluate them in terms of unidimensionality and temporal invariance, (2) to examine the structure of relationships among the processing tendencies, and (3) to test the stability of individual differences in processing tendencies over a 4-week period. Random assignment of items to parcels showed unidimensionality as well as invariance over time. Processing tendencies relating to same-valence targets – facilitation and inhibition of positive targets as well as facilitation and inhibition of negative targets – showed a positive relationship at both timepoints not predicted by theory. Furthermore, evidence in favor of stability of individual differences in processing tendencies was obtained for positive targets, while the results for negative targets were less clear. The results are interpreted in light of current theories of automatic affective processing.

Publisher

Hogrefe Publishing Group

Subject

Biological Psychiatry,General Psychology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3