Performance on Embedded Figures Tests

Author:

Glicksohn Joseph12,Kinberg Zehavit12

Affiliation:

1. Department of Criminology, Bar-Ilan University, Israel

2. The Leslie and Susan Gonda (Goldschmied) Multidisciplinary Brain Research Center, Israel

Abstract

We examined individual performance on an embedded figures test, in two separate studies. Performance measures were both the number (m) of hits (H) and the number of false alarms (FA), and their respective reaction times (RT). Using these measures, we postulated four templates of performance, indicative of field dependence (mH = low, RTH = long, mFA = high), field independence (mH = high, RTH = short, mFA = low), impulsiveness (mH = low, RTH = short, mFA = high), and reflectiveness (mH = high, RTH = long, mFA = low). In the first study, individual profiles were correlated with these four templates, whose mean values were updated in a stepwise manner, under the constraint that the individual profile had to be substantially correlated with the emerging template (r > 0.9). This procedure resulted in the final placement of a total of 64 individuals (80%) into one of the four templates. In the second study, we could identify 87% of the participants in such a manner. These participants also provided us with performance data on the rod-and-frame test (RFT), and a line-bisection task (whose analysis here is innovative), as well as scores on the sensation-seeking scales. We emphasize the utility of adopting such a finely-tuned approach to the study of the disembedding aspect of the cognitive style, and to the profiling of individual differences in general.

Publisher

Hogrefe Publishing Group

Subject

Biological Psychiatry,General Psychology

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