机器学习方法在心理评估和测试构建中的潜力

IF 3.2 3区 心理学 Q2 PSYCHOLOGY, APPLIED
Steven Bißantz, Susanne Frick, Filip Melinscak, D. Iliescu, Eunike Wetzel
{"title":"机器学习方法在心理评估和测试构建中的潜力","authors":"Steven Bißantz, Susanne Frick, Filip Melinscak, D. Iliescu, Eunike Wetzel","doi":"10.1027/1015-5759/a000817","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":48018,"journal":{"name":"European Journal of Psychological Assessment","volume":"9 17","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Potential of Machine Learning Methods in Psychological Assessment and Test Construction\",\"authors\":\"Steven Bißantz, Susanne Frick, Filip Melinscak, D. Iliescu, Eunike Wetzel\",\"doi\":\"10.1027/1015-5759/a000817\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":48018,\"journal\":{\"name\":\"European Journal of Psychological Assessment\",\"volume\":\"9 17\",\"pages\":\"\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-01-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Psychological Assessment\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1027/1015-5759/a000817\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHOLOGY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Psychological Assessment","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1027/1015-5759/a000817","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Potential of Machine Learning Methods in Psychological Assessment and Test Construction
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
CiteScore
6.40
自引率
4.00%
发文量
71
期刊介绍: The main purpose of the EJPA is to present important articles which provide seminal information on both theoretical and applied developments in this field. Articles reporting the construction of new measures or an advancement of an existing measure are given priority. The journal is directed to practitioners as well as to academicians: The conviction of its editors is that the discipline of psychological assessment should, necessarily and firmly, be attached to the roots of psychological science, while going deeply into all the consequences of its applied, practice-oriented development.
×
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:481959085
Book学术官方微信