Psychometric and Machine Learning Approaches to Reduce the Length of Scales-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Psychometric and Machine Learning Approaches to Reduce the Length of Scales

Published:2020-08-04 Issue:6 Volume:56 Page:903-919
ISSN:0027-3171
Container-title:Multivariate Behavioral Research
language:en
Short-container-title:Multivariate Behavioral Research

Author:

Gonzalez Oscar¹^ORCID

Affiliation:

1. University of North Carolina at Chapel Hill

Funder

National Science Foundation

National Institute on Drug Abuse

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Experimental and Cognitive Psychology,General Medicine,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00273171.2020.1781585

Reference76 articles.

1. Screening for Depression in Well Older Adults: Evaluation of a Short Form of the CES-D

2. Noncompliant responding: Comparing exclusion criteria in MTurk personality research to improve data quality

3. Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm

4. Evaluating Effect, Composite, and Causal Indicators in Structural Equation Models

Cited by 25 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

1. Item reduction of the “Support Intensity Scale” for people with intellectual disabilities, using machine learning;British Journal of Learning Disabilities;2024-08-19

2. An abbreviated Chinese dyslexia screening behavior checklist for primary school students using a machine learning approach;Behavior Research Methods;2024-07-29

3. Computationally intelligent workflow for improved psychotherapy interventions: an ontology-based approach;International Journal of Information Technology;2024-06-03

4. Shortening and Personalizing Psychodiagnostic Assessments with Decision Tree-Machine Learning Classifiers: An Application Example Based on the Patient Health Questionnaire-9;International Journal of Mental Health and Addiction;2024-05-23

5. At-any-Point-in-Time, Individual’s Psychological Well-Being Matters: Meta-analysis of Reliability Generalisation of (Ryff's SPWB) as the measure;2024-04-17

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