多维强迫选择问卷的优势特征分析方法。

IF 2.3 3区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Dimiter M Dimitrov
{"title":"多维强迫选择问卷的优势特征分析方法。","authors":"Dimiter M Dimitrov","doi":"10.1177/00131644251360386","DOIUrl":null,"url":null,"abstract":"<p><p>Proposed is a new method of scoring multidimensional forced-choice (MFC) questionnaires referred to as the dominant trait profile (DTP) method. The DTP method identifies a dominant response vector (DRV) for each trait-a vector of binary scores for preferences in item pairs within MFC blocks from the perspective of a respondent for whom the trait under consideration dominates over the other traits being measured. The respondents' observed response vectors are matched to the DRV for each trait to produce (1/0) matching scores that are then analyzed via latent trait modeling, with scaling options (a) bounded D-scale (from 0 to 1), or (b) item response theory logit scale. The DTP method allows for the comparison of individuals on a trait of interest, as well as their standing in relation to a dominant trait \"standard\" (criterion). The study results indicate that DTP-based trait estimates are highly correlated with those produced by the popular Thurstonian item response theory model and the Zinnes and Griggs pairwise preference item response theory model, while avoiding the complexity of their designs and some computations issues.</p>","PeriodicalId":11502,"journal":{"name":"Educational and Psychological Measurement","volume":" ","pages":"00131644251360386"},"PeriodicalIF":2.3000,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12356822/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Dominant Trait Profile Method of Scoring Multidimensional Forced-Choice Questionnaires.\",\"authors\":\"Dimiter M Dimitrov\",\"doi\":\"10.1177/00131644251360386\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Proposed is a new method of scoring multidimensional forced-choice (MFC) questionnaires referred to as the dominant trait profile (DTP) method. The DTP method identifies a dominant response vector (DRV) for each trait-a vector of binary scores for preferences in item pairs within MFC blocks from the perspective of a respondent for whom the trait under consideration dominates over the other traits being measured. The respondents' observed response vectors are matched to the DRV for each trait to produce (1/0) matching scores that are then analyzed via latent trait modeling, with scaling options (a) bounded D-scale (from 0 to 1), or (b) item response theory logit scale. The DTP method allows for the comparison of individuals on a trait of interest, as well as their standing in relation to a dominant trait \\\"standard\\\" (criterion). The study results indicate that DTP-based trait estimates are highly correlated with those produced by the popular Thurstonian item response theory model and the Zinnes and Griggs pairwise preference item response theory model, while avoiding the complexity of their designs and some computations issues.</p>\",\"PeriodicalId\":11502,\"journal\":{\"name\":\"Educational and Psychological Measurement\",\"volume\":\" \",\"pages\":\"00131644251360386\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-08-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12356822/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Educational and Psychological Measurement\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1177/00131644251360386\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Educational and Psychological Measurement","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/00131644251360386","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

摘要

提出了一种多维强迫选择(MFC)问卷评分的新方法——显性特征谱(DTP)法。DTP方法为每个特征确定一个主导反应向量(DRV)——从被调查者的角度来看,在MFC块内的项目对偏好的二进制分数向量,被调查者认为所考虑的特征比其他被测量的特征占主导地位。被调查者观察到的反应向量与每个特质的DRV相匹配,产生(1/0)匹配分数,然后通过潜在特质建模进行分析,缩放选项为(a)有界d量表(从0到1)或(b)项目反应理论logit量表。DTP方法允许对个人感兴趣的特征进行比较,以及他们与主导特征“标准”(标准)的关系。研究结果表明,基于dtp的特质估计与流行的Thurstonian项目反应模型和Zinnes和Griggs配对偏好项目反应模型产生的特质估计高度相关,同时避免了它们设计的复杂性和一些计算问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Dominant Trait Profile Method of Scoring Multidimensional Forced-Choice Questionnaires.

Proposed is a new method of scoring multidimensional forced-choice (MFC) questionnaires referred to as the dominant trait profile (DTP) method. The DTP method identifies a dominant response vector (DRV) for each trait-a vector of binary scores for preferences in item pairs within MFC blocks from the perspective of a respondent for whom the trait under consideration dominates over the other traits being measured. The respondents' observed response vectors are matched to the DRV for each trait to produce (1/0) matching scores that are then analyzed via latent trait modeling, with scaling options (a) bounded D-scale (from 0 to 1), or (b) item response theory logit scale. The DTP method allows for the comparison of individuals on a trait of interest, as well as their standing in relation to a dominant trait "standard" (criterion). The study results indicate that DTP-based trait estimates are highly correlated with those produced by the popular Thurstonian item response theory model and the Zinnes and Griggs pairwise preference item response theory model, while avoiding the complexity of their designs and some computations issues.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Educational and Psychological Measurement
Educational and Psychological Measurement 医学-数学跨学科应用
CiteScore
5.50
自引率
7.40%
发文量
49
审稿时长
6-12 weeks
期刊介绍: Educational and Psychological Measurement (EPM) publishes referred scholarly work from all academic disciplines interested in the study of measurement theory, problems, and issues. Theoretical articles address new developments and techniques, and applied articles deal with innovation applications.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信