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
Path and Direction Discovery in Individual Dynamic Factor Models: A Regularized Hybrid Unified Structural Equation Modeling with Latent Variable [0.03%]
基于隐变量的正则化混合统一结构方程模型及其在动态个体因子模型路径和方向识别中的应用
Ai Ye,Kenneth A Bollen
Ai Ye
There has been an increasing call to model multivariate time series data with measurement error. The combination of latent factors with a vector autoregressive (VAR) model leads to the dynamic factor model (DFM), in which dynamic relations ...
Clustering Individuals Based on Similarity in Idiographic Factor Loading Patterns [0.03%]
基于个别因素负荷模式相似性的聚类分析方法
Cara J Arizmendi,Kathleen M Gates
Cara J Arizmendi
Idiographic measurement models such as p-technique and dynamic factor analysis (DFA) assess latent constructs at the individual level. These person-specific methods may provide more accurate models than models obtained from aggregated data ...
An Exact Bayesian Model for Meta-Analysis of the Standardized Mean Difference with Its Simultaneous Credible Intervals [0.03%]
一个用于标准化均值差的元分析的确切贝叶斯模型及其同时可信区间
Yonggang Lu,Qiujie Zheng,Kevin Henning
Yonggang Lu
While Bayesian methodology is increasingly favored in behavioral research for its clear probabilistic inference and model structure, its widespread acceptance as a standard meta-analysis approach remains limited. Although some conventional ...
Causal Latent Class Analysis with Distal Outcomes: A Modified Three-Step Method Using Inverse Propensity Weighting [0.03%]
基于逆倾向值加权的具有结果变量的因果潜在类别分析的改进三步法
Trà T Lê,Felix J Clouth,Jeroen K Vermunt
Trà T Lê
Bias-adjusted three-step latent class (LC) analysis is a popular technique for estimating the relationship between LC membership and distal outcomes. Since it is impossible to randomize LC membership, causal inference techniques are needed ...
Multiple Imputation with Factor Scores: A Practical Approach for Handling Simultaneous Missingness Across Items in Longitudinal Designs [0.03%]
基于因子分数的多重插补法：一种处理纵向设计中项目同时缺失的实际方法
Yanling Li,Zita Oravecz,Linying Ji et al.
Yanling Li et al.
Missingness in intensive longitudinal data triggered by latent factors constitute one type of nonignorable missingness that can generate simultaneous missingness across multiple items on each measurement occasion. To address this issue, we ...
Using Conditional Entropy Networks of Ordinal Measures to Examine Changes in Self-Worth Among Adolescent Students in High School [0.03%]
基于序数变量的条件熵模型及其在青少年自尊变化研究中的应用
Emanuela Furfaro,Fushing Hsieh,Maureen R Weiss et al.
Emanuela Furfaro et al.
We implement an analytic approach for ordinal measures and we use it to investigate the structure and the changes over time of self-worth in a sample of adolescents students in high school. We represent the variations in self-worth and its ...