Zachary F Fisher,Younghoon Kim,Vladas Pipiras et al.
Zachary F Fisher et al.
How best to model structurally heterogeneous processes is a foundational question in the social, health and behavioral sciences. Recently, Fisher et al. introduced the multi-VAR approach for simultaneously estimating multiple-subject multiv...
Latently Mediating: A Bayesian Take on Causal Mediation Analysis with Structured Survey Data [0.03%]
潜中介效应分析：具有结构化调查数据的因果中介分析的贝叶斯方法
Alessandro Varacca
Alessandro Varacca
In this paper, we propose a Bayesian causal mediation approach to the analysis of experimental data when both the outcome and the mediator are measured through structured questionnaires based on Likert-scaled inquiries. Our estimation strat...
Why You Should Not Estimate Mediated Effects Using the Difference-in-Coefficients Method When the Outcome is Binary [0.03%]
当结果变量为二元变量时，为什么不用系数之差的方法估计中介效应
Judith J M Rijnhart,Matthew J Valente,David P MacKinnon
Judith J M Rijnhart
Despite previous warnings against the use of the difference-in-coefficients method for estimating the indirect effect when the outcome in the mediation model is binary, the difference-in-coefficients method remains readily used in a variety...
A Causal View on Bias in Missing Data Imputation: The Impact of Evil Auxiliary Variables on Norming of Test Scores [0.03%]
因果视角下的缺失数据插补偏差：恶意辅助变量对测试评分规范的影响分析
Erik Sengewald,Katinka Hardt,Marie-Ann Sengewald
Erik Sengewald
Among the most important merits of modern missing data techniques such as multiple imputation (MI) and full-information maximum likelihood estimation is the possibility to include additional information about the missingness process via aux...
Justin D Kracht,Niels G Waller
Justin D Kracht
Researchers simulating covariance structure models sometimes add model error to their data to produce model misfit. Presently, the most popular methods for generating error-perturbed data are those by Tucker, Koopman, and Linn (TKL), Cudeck...
Exploring Estimation Procedures for Reducing Dimensionality in Psychological Network Modeling [0.03%]
探索心理网络模型降维的估计方法
Dingjing Shi,Alexander P Christensen,Eric Anthony Day et al.
Dingjing Shi et al.
To understand psychological data, it is crucial to examine the structure and dimensions of variables. In this study, we examined alternative estimation algorithms to the conventional GLASSO-based exploratory graph analysis (EGA) in network ...
A Review of Some of the History of Factorial Invariance and Differential Item Functioning [0.03%]
关于事实oring不变性和项目功能差异的一些历史回顾
David Thissen
David Thissen
The concept of factorial invariance has evolved since it originated in the 1930s as a criterion for the usefulness of the multiple factor model; it has become a form of analysis supporting the validity of inferences about group differences ...
Killing Two Birds with One Stone: Accounting for Unfolding Item Response Process and Response Styles Using Unfolding Item Response Tree Models [0.03%]
一石二鸟：利用展开项目响应树模型解释 unfolding 项目的响应过程和响应风格
Zhaojun Li,Lingyue Li,Bo Zhang et al.
Zhaojun Li et al.
Two research streams on responses to Likert-type items have been developing in parallel: (a) unfolding models and (b) individual response styles (RSs). To accurately understand Likert-type item responding, it is vital to parse unfolding res...
From Behavioral Genetics to Idiographic Science: Methodological Developments and Applications Inspired by the Work of Peter C. M. Molenaar [0.03%]
从行为遗传学到个性化科学：受Peter C. M. Molenaar作品启发的方法发展和应用
Sy-Miin Chow,Ellen L Hamaker,Nilam Ram
Sy-Miin Chow
This special issue is a collection of papers inspired by Dr. Molenaar's work and innovations - a tribute to his passion for advancing science and his ability to ignite a spark of creativity and innovation in multiple generations of scientis...
Equivalence Testing Based Fit Index: Standardized Root Mean Squared Residual [0.03%]
基于等值检验的拟合指数：标准化均方根残差
Nataly Beribisky,Robert A Cribbie
Nataly Beribisky
A popular measure of model fit in structural equation modeling (SEM) is the standardized root mean squared residual (SRMR) fit index. Equivalence testing has been used to evaluate model fit in structural equation modeling (SEM) but has yet ...