Psychological methods最新文献_第2页

Supplemental Material for 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的补充材料：网络心理测量学中结构方程模型拟合指数和截止值的评价

IF 7 1区心理学

Psychological methods Pub Date : 2025-06-16 DOI: 10.1037/met0000760.supp

引用次数: 0

Dynamic measurement invariance cutoffs for two-group fit index differences. 两组拟合指标差异的动态测量不变性截止点。

IF 7.6 1区心理学

Psychological methods Pub Date : 2025-06-12 DOI: 10.1037/met0000767

Daniel McNeish

{"title":"Dynamic measurement invariance cutoffs for two-group fit index differences.","authors":"Daniel McNeish","doi":"10.1037/met0000767","DOIUrl":"https://doi.org/10.1037/met0000767","url":null,"abstract":"Measurement invariance is investigated to ensure that a measurement scale functions similarly across different groups. A prevailing approach is to fit a series of multiple-group confirmatory factor models and then compare differences in fit indices of constrained and unconstrained models. Common recommendations are that a difference in comparative fit index ΔCFI above -.01 or a difference in the root-mean-square error of approximation ΔRMSEA less than .01 suggests evidence of invariance. In this article, we review the methodological literature that highlights that these widely used cutoffs do not generalize well. Specifically, the distributions of fit index differences expand or contract based on model and data characteristics, making any single cutoff unlikely to maintain desirable performance across a wide range of conditions. To address this, we propose a method called dynamic measurement invariance (DMI) cutoffs, which is an extension of dynamic fit index cutoffs originally devised to accommodate related issues in single-group models. DMI generalizes the procedure used in the seminal Cheung and Rensvold (2002) study by executing a simulation based on the researcher's specific model and data characteristics. DMI derives custom fit index difference cutoffs with optimal performance for the model being evaluated. The article explains the method and provides simulations and empirical examples to demonstrate its potential contribution, as well as ways in which it could be extended to expand its scope and utility. Open-source software is also provided to improve the accessibility of the method. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":20782,"journal":{"name":"Psychological methods","volume":" ","pages":""},"PeriodicalIF":7.6,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144286401","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

Neural text embeddings in psychological research: A guide with examples in R. 心理学研究中的神经文本嵌入：用R语言举例的指南。

IF 7.6 1区心理学

Psychological methods Pub Date : 2025-06-12 DOI: 10.1037/met0000768

Louis Teitelbaum, Almog Simchon

{"title":"Neural text embeddings in psychological research: A guide with examples in R.","authors":"Louis Teitelbaum, Almog Simchon","doi":"10.1037/met0000768","DOIUrl":"https://doi.org/10.1037/met0000768","url":null,"abstract":"In this guide, we review neural embedding models and compare three methods of quantifying psychological constructs for use with embeddings: distributed dictionary representation, contextualized construct representation, and a novel approach: correlational anchored vectors. We aim to cultivate an intuition for the geometric properties of neural embeddings and a sensitivity to methodological problems that can arise in their use. We argue that while large language model embeddings have the advantage of contextualization, decontextualized word embeddings may have more ability to generalize across text genres when using cosine or dot product similarity metrics. The three methods of operationalizing psychological constructs in vector space likewise each have their advantages in particular applications. We recommend distributed dictionary representation, which derives a vector representation from a word list, for quantifying abstract constructs relating to the overall feel of a text, especially when the research requires that these constructs generalize across multiple genres of text. We recommend contextualized construct representation, which derives a representation from a questionnaire, for cases in which texts are relatively similar in content to the embedded questionnaire, such as experiments in which participants are asked to respond to a related prompt. Correlational anchored vectors, which derives a representation from labeled examples, requires suitably large and reliable training data. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":20782,"journal":{"name":"Psychological methods","volume":" ","pages":""},"PeriodicalIF":7.6,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144286402","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

Continuous-time structural equation model forests. 连续时间结构方程模型森林。

IF 7 1区心理学

Psychological methods Pub Date : 2025-06-05 DOI: 10.1037/met0000766

Pablo F. Cáncer, Manuel Arnold, Eduardo Estrada, Manuel C. Voelkle

引用次数: 0

Improved estimation of autoregressive models through contextual impulses and robust modeling. 基于上下文脉冲和鲁棒建模的自回归模型改进估计。

IF 7 1区心理学

Psychological methods Pub Date : 2025-06-05 DOI: 10.1037/met0000761

Janne K. Adolf, Eva Ceulemans

引用次数: 0

Utilizing primary study quality in meta-analyses in psychology: A step-by-step tutorial. 在心理学荟萃分析中利用初级研究质量：一步一步的教程。

IF 7 1区心理学

Psychological methods Pub Date : 2025-06-05 DOI: 10.1037/met0000751

Ronny Scherer, Valentin Emslander

引用次数: 0

Supplemental Material for Improved Estimation of Autoregressive Models Through Contextual Impulses and Robust Modeling 通过上下文脉冲和鲁棒建模改进自回归模型估计的补充材料

IF 7 1区心理学

Psychological methods Pub Date : 2025-06-02 DOI: 10.1037/met0000761.supp

引用次数: 0

Estimating causal effects on psychological networks using item response theory. 运用项目反应理论估计心理网络的因果效应。

IF 7.6 1区心理学

Psychological methods Pub Date : 2025-06-02 DOI: 10.1037/met0000764

Joshua B Gilbert, Benjamin W Domingue, James S Kim

{"title":"Estimating causal effects on psychological networks using item response theory.","authors":"Joshua B Gilbert, Benjamin W Domingue, James S Kim","doi":"10.1037/met0000764","DOIUrl":"https://doi.org/10.1037/met0000764","url":null,"abstract":"Network models in which each variable interacts with the others in a complex system have emerged as an important alternative to latent variable models in psychometric research. However, confirmatory methods for group network comparison can be limited by practical constraints, such as the computational intractability of the Ising model in large networks. In this study, we demonstrate how to estimate causal effects on network state and strength when direct network estimation is not feasible by leveraging the mathematical equivalencies between the Ising model and item response theory (IRT) models. We demonstrate through simulation that a two-parameter logistic explanatory IRT model can simultaneously recover causal effects on network state and strength. We first apply the method to a single empirical example of a vocabulary assessment from a content literacy intervention to demonstrate model building and interpretation strategies. We then replicate our approach with 72 empirical data sets from randomized controlled trials with item-level outcome data in education, economics, health, and related fields. Our results show that causal effects on network strength are both common and uncorrelated with effects on network state, suggesting that causal network models can provide new insight into the impact of interventions in the social and behavioral sciences. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":20782,"journal":{"name":"Psychological methods","volume":" ","pages":""},"PeriodicalIF":7.6,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144199866","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 Utilizing Primary Study Quality in Meta-Analyses in Psychology: A Step-by-Step Tutorial 在心理学荟萃分析中利用初级研究质量的补充材料：一步一步的教程

IF 7 1区心理学

Psychological methods Pub Date : 2025-06-02 DOI: 10.1037/met0000751.supp

引用次数: 0

Why the use of segmented regression analysis to explore change in relations between variables is problematic: A simulation study. 为什么使用分段回归分析来探索变量之间关系的变化是有问题的：模拟研究。

IF 7.6 1区心理学

Psychological methods Pub Date : 2025-06-01 Epub Date: 2023-03-27 DOI: 10.1037/met0000576

Moritz Breit, Julian Preuß, Vsevolod Scherrer, Franzis Preckel

引用次数: 0