Leveraging lavaan for iterated conditional expectations: A streamlined parametric g-formula [0.03%]
利用lavaan进行迭代条件期望：一种简洁的参数g公式方法
Wen Wei Loh
Wen Wei Loh
Longitudinal designs are widely used to assess causal effects that develop over time. But treatment-confounder causal feedback complicates adjusting for time-varying confounding. An established solution from the causal inference literature ...
Adjustment set selection for estimating optimal treatment rules under confounding [0.03%]
干扰下的最优治疗规则的选择调整集估计
Nina Galanter,Susan M Shortreed,Erica E M Moodie
Nina Galanter
There is an increasing call for individualized treatment rules, which leverage individual patient characteristics to recommend treatments or interventions, tailoring recommendations based on their covariates. This is particularly of interes...
An application of procedural knowledge space theory to the study of strategic planning in board games [0.03%]
程序知识空间理论在棋盘游戏战略规划研究中的应用
Andrea Brancaccio,Luca Stefanutti
Andrea Brancaccio
Procedural knowledge space theory (PKST) integrates knowledge space theory and problem space theory to model human problem-solving. This study extends PKST to competitive, two-player games and presents the first empirical application of hom...
A comparison of the predictive performance of continuous and class-based latent trait models [0.03%]
连续和分类潜在特征模型预测性能的比较
Wanjing Anya Ma,Yiqing Liu,Klint Kanopka et al.
Wanjing Anya Ma et al.
The ability of a student can be conceptualized as either a continuously varying entity (e.g., conventional analysis using dichotomous item response theory [IRT] models; Lord & Novick, 1968) or a bundle of latent classes (e.g., cognitive dia...
Network accuracy across levels of analysis using stochastic block models [0.03%]
基于随机块模型的跨分析层次的网络预测准确度
Alexander P Christensen,Jeongwon Choi
Alexander P Christensen
Researchers apply network psychometric methods across many levels of analysis-from understanding causal pathways (edges) and variable importance (centrality) to uncovering dimensionality (community) and group differences (network similarity...
Douglas G Bonett
Douglas G Bonett
When planning a study that uses multiple measurement trials, both the number of participants and the number of measurement trials are fundamental design elements. In multiple measurement trial studies, each participant is repeatedly exposed...
Identifying careless responding in ecological momentary assessment: Inconsistent signals from different detection methods in the WARN-D Data [0.03%]
使用不同检测方法识别生态时刻评估中的随意应答：来自WARN-D数据的不一致信号
Leonie V D E Vogelsmeier,Björn S Siepe,Esther Ulitzsch et al.
Leonie V D E Vogelsmeier et al.
Collecting intensive longitudinal data via methods like ecological momentary assessment (EMA) is necessary to study dynamics in psychological constructs. However, detecting careless responding is more important than ever, as this methodolog...
Post Hoc comparisons in fixed-effect ANOVA: A sequential fusion approach with calibrated error control [0.03%]
固定效应方差分析中的事后检验：一种校准误差控制的序贯融合方法
Yvonnick Noel
Yvonnick Noel
Post hoc comparisons following a significant analysis of variance (ANOVA) are typically conducted using pairwise methods such as Tukey's honestly significant difference or Holm-Bonferroni corrections. Although these procedures control famil...
Bayesian marginalized zero-inflated Poisson model with random effects for single-case experimental designs: A simulation study [0.03%]
一种用于单被试实验设计的贝叶斯边缘化随机效应零膨胀泊松模型：一项模拟研究
Chendong Li,Wen Luo
Chendong Li
Analyzing zero-inflated count data in single-case experimental designs presents a significant analytical challenge. Although traditional zero-inflated generalized linear mixed models are available, they estimate a conditional treatment effe...
Evaluating local structural-after-measurement and traditional approaches for the estimation of complex nonlinear effects among latent variables [0.03%]
评价结构后测量和传统方法在估计潜在变量之间复杂非线性效应方面的表现
Felipe Fontana Vieira,Kjell Solem Slupphaug,Yves Rosseel
Felipe Fontana Vieira
Various methods exist to include interaction or quadratic terms involving latent variables in structural equation models. Most use system-wide estimation, where all parameters are estimated simultaneously and have been investigated in model...