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 ...
Multilevel Semiparametric Latent Variable Modeling in R with "galamm" [0.03%]
基于R中的"galamm"程序的多水平半参数潜变量模型分析
Øystein Sørensen
Øystein Sørensen
We present the R package galamm, whose goal is to provide common ground between structural equation modeling and mixed effect models. It supports estimation of models with an arbitrary number of crossed or nested random effects, smoothing s...
Latent Reciprocal Engagement and Accuracy Variables in Social Relations Structural Equation Modeling [0.03%]
社会关系结构方程模型中的潜在互惠参与和准确性变量
David Jendryczko,Fridtjof W Nussbeck
David Jendryczko
The social relations model (SRM) is the standard approach for analyzing dyadic data stemming from round-robin designs. The model can be used to estimate correlation-coefficients that reflect the overall reciprocity or accuracy of judgements...
Beyond Pearson's Correlation: Modern Nonparametric Independence Tests for Psychological Research [0.03%]
超越皮尔逊相关：心理研究中的现代非参数独立性检验
Julian D Karch,Andres F Perez-Alonso,Wicher P Bergsma
Julian D Karch
When examining whether two continuous variables are associated, tests based on Pearson's, Kendall's, and Spearman's correlation coefficients are typically used. This paper explores modern nonparametric independence tests as an alternative, ...
Alternative Approaches to Estimate Causal Mediated Effects in the Single-Mediator Model [0.03%]
单介变量模型中估计因果中介效应的替代方法
Diana Alvarez-Bartolo,David P MacKinnon
Diana Alvarez-Bartolo