A Bayesian Approach to Estimating Reciprocal Effects with the Bivariate STARTS Model [0.03%]
基于BAYESIAN方法的双向STARTS模型估计互惠效应的方法研究
Oliver Lüdtke,Alexander Robitzsch,Esther Ulitzsch
Oliver Lüdtke
The bivariate Stable Trait, AutoRegressive Trait, and State (STARTS) model provides a general approach for estimating reciprocal effects between constructs over time. However, previous research has shown that this model is difficult to esti...
Conducting Bayesian-Classical Hybrid Power Analysis with R Package Hybridpower [0.03%]
基于R包Hybridpower的贝叶斯-经典混合势能分析方法研究
Joonsuk Park,Jolynn Pek
Joonsuk Park
There are several approaches to incorporating uncertainty in power analysis. We review these approaches and highlight the Bayesian-classical hybrid approach that has been implemented in the R package hybridpower. Calculating Bayesian-classi...
Bayesian Uncertainty Estimation for Gaussian Graphical Models and Centrality Indices [0.03%]
高斯图形模型的贝叶斯不确定性估计及其中心度指标
Joran Jongerling,Sacha Epskamp,Donald R Williams
Joran Jongerling
In the network approach to psychopathology, psychological constructs are conceptualized as networks of interacting components (e.g., the symptoms of a disorder). In this network view, interest is on the degree to which symptoms influence ea...
Using Support Vector Machines for Facet Partitioning in Multidimensional Scaling [0.03%]
利用支持向量机进行多维尺度分析中的属性划分
Patrick Mair,Joshua S Cetron,Ingwer Borg
Patrick Mair
In this article we focus on interpreting multidimensional scaling (MDS) configurations using facet theory. The facet theory approach is attempting to partition a representational space, facet by facet, into regions with certain simplifying ...
Alberto Maydeu-Olivares
Alberto Maydeu-Olivares
Jointly Modeling Participant-Level Data and Summary Statistics for Treatment Differences [0.03%]
联合建模参与者级别数据和治疗差异汇总统计量
Kenneth Tyler Wilcox,Lijuan Wang
Kenneth Tyler Wilcox
A Dynamic Structural Equation Approach to Modeling Wage Dynamics and Cumulative Advantage across the Lifespan [0.03%]
生命周期工资动态和累积优势的动态结构方程建模方法研究
Andrea Hasl,Manuel Voelkle,Julia Kretschmann et al.
Andrea Hasl et al.
Wages and wage dynamics directly affect individuals' and families' daily lives. In this article, we show how major theoretical branches of research on wages and inequality-that is, cumulative advantage (CA), human capital theory, and the li...
Tuning Random Forests for Causal Inference under Cluster-Level Unmeasured Confounding [0.03%]
用于群组级别未测量混淆变量的因果推断中的随机森林调参
Youmi Suk,Hyunseung Kang
Youmi Suk
Recently, there has been growing interest in using machine learning methods for causal inference due to their automatic and flexible ability to model the propensity score and the outcome model. However, almost all the machine learning metho...
Using Lasso and Adaptive Lasso to Identify DIF in Multidimensional 2PL Models [0.03%]
利用LASSO和自适应LASSO在多维2PL模型中识别DIF
Chun Wang,Ruoyi Zhu,Gongjun Xu
Chun Wang
Differential item functioning (DIF) analysis refers to procedures that evaluate whether an item's characteristic differs for different groups of persons after controlling for overall differences in performance. DIF is routinely evaluated as...
Han Du,Ge Jiang,Zijun Ke
Han Du
Meta-analysis combines pertinent information from existing studies to provide an overall estimate of population parameters/effect sizes, as well as to quantify and explain the differences between studies. However, testing between-study hete...