Short-Scale Construction Using Meta-Analytic Ant Colony Optimization

IF 4.7 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-03-25 DOI:10.1027/1015-5759/a000818
U. Schroeders, Maximilian Morgenstern, K. Jankowsky, Timo Gnambs
{"title":"Short-Scale Construction Using Meta-Analytic Ant Colony Optimization","authors":"U. Schroeders, Maximilian Morgenstern, K. Jankowsky, Timo Gnambs","doi":"10.1027/1015-5759/a000818","DOIUrl":null,"url":null,"abstract":"Abstract: The Need for Cognition Scale (NCS) is a self-report scale measuring individual differences in the tendency to engage in and enjoy thinking. The shortened version with 18 items (NCS-18; Cacioppo et al., 1984 ) has widely been administered in research on persuasion, critical thinking, and educational achievement. Whereas most studies advocated for essential uni-dimensionality, the question remains which psychometric model yields the best representation of the NCS-18. In the present study, we compared six competing measurement models for the NCS-18 with meta-analytic structural equation models using summary data of 87 samples ( N = 90,215). Results demonstrated that the negatively worded items introduced considerable measurement bias that was best accounted for with an acquiescence model. In a further analytical step, we showcased how the pooled correlation matrix can be used to compile short versions of the NCS-18 via Ant Colony Optimization. We examined model fit and reliability of short scales with varying item numbers (between 4 and 15) and a balanced ratio of positively and negatively worded items. We discuss the potentials and limits of the newly proposed method.","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":" 464","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1027/1015-5759/a000818","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract: The Need for Cognition Scale (NCS) is a self-report scale measuring individual differences in the tendency to engage in and enjoy thinking. The shortened version with 18 items (NCS-18; Cacioppo et al., 1984 ) has widely been administered in research on persuasion, critical thinking, and educational achievement. Whereas most studies advocated for essential uni-dimensionality, the question remains which psychometric model yields the best representation of the NCS-18. In the present study, we compared six competing measurement models for the NCS-18 with meta-analytic structural equation models using summary data of 87 samples ( N = 90,215). Results demonstrated that the negatively worded items introduced considerable measurement bias that was best accounted for with an acquiescence model. In a further analytical step, we showcased how the pooled correlation matrix can be used to compile short versions of the NCS-18 via Ant Colony Optimization. We examined model fit and reliability of short scales with varying item numbers (between 4 and 15) and a balanced ratio of positively and negatively worded items. We discuss the potentials and limits of the newly proposed method.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用元分析蚁群优化技术进行短尺度构建
摘要:认知需要量表(NCS)是一种自我报告量表,用于测量个体在参与和享受思考的倾向方面的差异。在有关说服、批判性思维和教育成就的研究中,有 18 个项目的简短版本(NCS-18;Cacioppo 等人,1984 年)被广泛使用。虽然大多数研究都主张 NCS-18 具有基本的单维性,但问题是哪种心理测量模型能最好地反映 NCS-18。在本研究中,我们使用 87 个样本(N=90,215)的汇总数据,通过元分析结构方程模型比较了 NCS-18 的六个相互竞争的测量模型。结果表明,消极措辞的项目带来了相当大的测量偏差,而这种偏差在默许模型中得到了最好的解释。在进一步的分析步骤中,我们展示了如何通过蚁群优化,利用汇集的相关矩阵编制简短版本的 NCS-18。我们检验了不同项目数(4 到 15 个之间)的简易量表的模型拟合度和可靠性,以及正反措辞项目的平衡比例。我们讨论了新提出方法的潜力和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
期刊最新文献
Issue Publication Information Issue Editorial Masthead Corroborating the Monro-Kellie Principles. High-Performance Flexible Strain Sensor Enhanced by Functionally Partitioned Conductive Network for Intelligent Monitoring of Human Activities Carbon Nanotube-Enhanced Liquid Metal Composite Ink for Strain Sensing and Digital Recognition
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1