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 ...
Using Monte Carlo Simulation to Forecast the Scientific Utility of Psychological App Studies: A Tutorial [0.03%]
利用蒙特卡洛模拟预测心理应用研究的科学效用：教学教程
Sebastian Kueppers,Richard Rau,Florian Scharf
Sebastian Kueppers
Mobile applications offer a wide range of opportunities for psychological data collection, such as increased ecological validity and greater acceptance by participants compared to traditional laboratory studies. However, app-based psycholog...
Integrating Intra- and Interindividual Phenomena in Psychological Theories [0.03%]
心理理论中整合个体内部和个体间现象
Denny Borsboom,Jonas Haslbeck
Denny Borsboom
Psychological science is divided into two distinct methodological traditions. One tradition seeks to understand how people function at the individual level, while the other seeks to understand how people differ from each other. Methodologie...
Benedikt Langenberg,Jonathan L Helm,Axel Mayer
Benedikt Langenberg
Latent repeated measures ANOVA (L-RM-ANOVA) has recently been proposed as an alternative to traditional repeated measures ANOVA. L-RM-ANOVA builds upon structural equation modeling and enables researchers to investigate interindividual diff...
Parametric g-formula for Testing Time-Varying Causal Effects: What It Is, Why It Matters, and How to Implement It in Lavaan [0.03%]
用于测试时变因果效应的参数g公式：它是什么，为什么重要以及如何在Lavaan中实现它
Wen Wei Loh,Dongning Ren,Stephen G West
Wen Wei Loh
Psychologists leverage longitudinal designs to examine the causal effects of a focal predictor (i.e., treatment or exposure) over time. But causal inference of naturally observed time-varying treatments is complicated by treatment-dependent...