Psychological methods最新文献

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Supplemental Material for An Explainable Artificial Intelligence Handbook for Psychologists: Methods, Opportunities, and Challenges 心理学家可解释人工智能手册的补充材料:方法,机会和挑战
IF 7 1区 心理学
Psychological methods Pub Date : 2025-07-28 DOI: 10.1037/met0000772.supp
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引用次数: 0
Supplemental Material for Joint Variable Selection in Generalized Linear Mixed Models With Random Regularized Penalized Quasi-Likelihood Technique 基于随机正则化惩罚拟似然技术的广义线性混合模型联合变量选择补充材料
IF 7 1区 心理学
Psychological methods Pub Date : 2025-07-28 DOI: 10.1037/met0000783.supp
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引用次数: 0
Robust detection of signed outliers in multivariate data with applications to early identification of risk for autism. 多变量数据中签名异常值的鲁棒检测及其在自闭症风险早期识别中的应用。
IF 7 1区 心理学
Psychological methods Pub Date : 2025-07-21 DOI: 10.1037/met0000775
Jesus E Delgado,Jed T Elison,Nathaniel E Helwig
{"title":"Robust detection of signed outliers in multivariate data with applications to early identification of risk for autism.","authors":"Jesus E Delgado,Jed T Elison,Nathaniel E Helwig","doi":"10.1037/met0000775","DOIUrl":"https://doi.org/10.1037/met0000775","url":null,"abstract":"This article proposes an approach for detecting multivariate outliers that combines robust estimation methods with signed detection information. Our method uses the Mahalanobis distance to quantify each observation's extremeness from the expected value relative to the covariance matrix, and we leverage robust estimation tools, i.e., the minimum covariance determinant, to estimate the mean vector and covariance matrix used in the Mahalanobis distance calculation. Furthermore, we incorporate a signing element into the distance calculation to give researchers greater control over the specific regions of multivariate space that should be prioritized when searching for outliers, which allows for more targeted risk assessment and classification. Lastly, we unify the robust and signed elements into a framework that can be used within bilinear models such as principal components analysis and factor analysis. Using simulated and real data examples, we demonstrate that the proposed approach can result in improved risk assessment and outlier detection, particularly when the sample is contaminated with a moderate-to-large number of outliers that have noteworthy contamination strengths. Overall, our results show that making use of a robust method when assessing multivariate risk leads to more accurate estimates, particularly when combined with relevant signing information. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":20782,"journal":{"name":"Psychological methods","volume":"26 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144669552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Adapting methods for correcting selective reporting bias in meta-analysis of dependent effect sizes. 依赖效应量荟萃分析中修正选择性报告偏倚的适应方法。
IF 7 1区 心理学
Psychological methods Pub Date : 2025-07-10 DOI: 10.1037/met0000773
Man Chen, James E. Pustejovsky
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引用次数: 0
Generative pretrained transformer models can function as highly reliable second screeners of titles and abstracts in systematic reviews: A proof of concept and common guidelines. 生成预训练的变压器模型可以在系统评论中作为高度可靠的标题和摘要的第二筛选器:概念证明和通用指南。
IF 7 1区 心理学
Psychological methods Pub Date : 2025-07-10 DOI: 10.1037/met0000769
Mikkel Helding Vembye, Julian Christensen, Anja Bondebjerg Mølgaard, Frederikke Lykke Witthöft Schytt
{"title":"Generative pretrained transformer models can function as highly reliable second screeners of titles and abstracts in systematic reviews: A proof of concept and common guidelines.","authors":"Mikkel Helding Vembye, Julian Christensen, Anja Bondebjerg Mølgaard, Frederikke Lykke Witthöft Schytt","doi":"10.1037/met0000769","DOIUrl":"https://doi.org/10.1037/met0000769","url":null,"abstract":"","PeriodicalId":20782,"journal":{"name":"Psychological methods","volume":"11 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reevaluating R²med as an effect size measure for indirect effects. 重新评价R²med作为间接效应的效应大小度量。
IF 7 1区 心理学
Psychological methods Pub Date : 2025-07-10 DOI: 10.1037/met0000771
Sang-June Park, Youjae Yi
{"title":"Reevaluating R²med as an effect size measure for indirect effects.","authors":"Sang-June Park, Youjae Yi","doi":"10.1037/met0000771","DOIUrl":"https://doi.org/10.1037/met0000771","url":null,"abstract":"","PeriodicalId":20782,"journal":{"name":"Psychological methods","volume":"35 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Supplemental Material for Adapting Methods for Correcting Selective Reporting Bias in Meta-Analysis of Dependent Effect Sizes 辅助效应量元分析中修正选择性报告偏倚的适应性方法补充材料
IF 7 1区 心理学
Psychological methods Pub Date : 2025-07-03 DOI: 10.1037/met0000773.supp
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引用次数: 0
An alternative framework for nonexperimental cross-sectional mediation studies: Associational variable analysis. 非实验横断面中介研究的另一种框架:关联变量分析。
IF 7.6 1区 心理学
Psychological methods Pub Date : 2025-07-03 DOI: 10.1037/met0000774
Carl F Weems
{"title":"An alternative framework for nonexperimental cross-sectional mediation studies: Associational variable analysis.","authors":"Carl F Weems","doi":"10.1037/met0000774","DOIUrl":"https://doi.org/10.1037/met0000774","url":null,"abstract":"<p><p>Despite strong evidence of its logical and empirical problems, there remains a veritable eruption of mediational studies using nonexperimental cross-sectional data (NECSD). At best, such studies can say little about true mediation and at worse can create an inaccurate picture of the conclusions from the data. This article overviews the reasons to not frame NECSD studies as mediational and articulates reasons why it may continue despite solid reasons to stop. Associational variable analysis is introduced as an alternative framework to help articulate a more accurate depiction of findings. Articulation of the steps, examples of conducting the steps, and framing findings are provided from an empirical data set. Associational variable analysis is an alternative conceptual framework drawing on the analytic techniques developed for mediation but provides a more accurate framework for the articulation of findings from NECSD studies with mediational-type goals. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":20782,"journal":{"name":"Psychological methods","volume":" ","pages":""},"PeriodicalIF":7.6,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144560896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Supplemental Material for Generative Pretrained Transformer Models Can Function as Highly Reliable Second Screeners of Titles and Abstracts in Systematic Reviews: A Proof of Concept and Common Guidelines 生成预训练变压器模型的补充材料可以作为系统评论中标题和摘要的高度可靠的第二筛选器:概念证明和通用指南
IF 7 1区 心理学
Psychological methods Pub Date : 2025-06-30 DOI: 10.1037/met0000769.supp
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引用次数: 0
Moving from exploratory to confirmatory network analysis: An evaluation of structural equation modeling fit indices and cutoff values in network psychometrics. 从探索性网络分析到验证性网络分析:网络心理测量学中结构方程模型拟合指数和截断值的评价。
IF 7 1区 心理学
Psychological methods Pub Date : 2025-06-23 DOI: 10.1037/met0000760
Xinkai Du, Nora Skjerdingstad, René Freichel, Omid V. Ebrahimi, Ria H. A. Hoekstra, Sacha Epskamp
{"title":"Moving from exploratory to confirmatory network analysis: An evaluation of structural equation modeling fit indices and cutoff values in network psychometrics.","authors":"Xinkai Du, Nora Skjerdingstad, René Freichel, Omid V. Ebrahimi, Ria H. A. Hoekstra, Sacha Epskamp","doi":"10.1037/met0000760","DOIUrl":"https://doi.org/10.1037/met0000760","url":null,"abstract":"","PeriodicalId":20782,"journal":{"name":"Psychological methods","volume":"12 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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