Detecting Model Misfit in Structural Equation Modeling with Machine Learning-A Proof of Concept [0.03%]
结合机器学习进行结构方程模型的拟合度检测概念性研究
Melanie Viola Partsch,David Goretzko
Melanie Viola Partsch
Despite the popularity of structural equation modeling in psychological research, accurately evaluating the fit of these models to data is still challenging. Using fixed fit index cutoffs is error-prone due to the fit indices' dependence on...
A Two-Step Estimator for Growth Mixture Models with Covariates in the Presence of Direct Effects [0.03%]
考虑直接效应的具有协变量的增长混合模型的两阶段估计方法研究
Yuqi Liu,Zsuzsa Bakk,Ethan M McCormick et al.
Yuqi Liu et al.
Growth mixture models (GMMs) are popular approaches for modeling unobserved population heterogeneity over time. GMMs can be extended with covariates, predicting latent class (LC) membership, the within-class growth trajectories, or both. Ho...
Standardized Estimates of Second-Order Latent Growth Models: A Comparison of Alternative Latent-Standardization Methods [0.03%]
二阶潜在增长模型的标准化估计：替代潜在标准化方法的比较分析
Yifan Wang,Zhonglin Wen,Kit-Tai Hau et al.
Yifan Wang et al.
Second-order latent growth models (LGMs) have garnered considerable attention and are increasingly utilized in longitudinal data analyses of latent constructs comprised of multiple items. The growth parameter estimates in these models are i...
Analyzing Count Data in Single Case Experimental Designs with Generalized Linear Mixed Models: Does Serial Dependency Matter? [0.03%]
广义线性混合模型在单案例实验设计中分析计数数据：序列相关重要吗？
Haoran Li,Wen Luo
Haoran Li
Single-case experimental designs (SCEDs) involve repeated measurements of a small number of cases under different experimental conditions, offering valuable insights into treatment effects. However, challenges arise in the analysis of SCEDs...
Siwei Liu,Christopher M Crawford,Zachary F Fisher et al.
Siwei Liu et al.
In this study, we extend the dynamic fit index (DFI) developed by McNeish and Wolf to the context of time series analysis. DFI is a simulation-based method for deriving fit index cutoff values tailored to the specific model and data charact...
On the Ratio Between Point-Polyserial and Polyserial Correlations for Non-Normal Bivariate Distributions [0.03%]
非正态二元分布下的点多项列相关与多项列相关的比值研究
Alessandro Barbiero
Alessandro Barbiero
It is a well-known fact that for the bivariate normal distribution the ratio between the point-polyserial correlation (the linear correlation after one of the two variables is discretized into k categories with probabilities pi, i=1,…...
The Impact of Temporal Expectation on Unconscious Inhibitory Processing: A Computational Analysis Using Hierarchical Drift Diffusion Modeling [0.03%]
基于分层漂移扩散模型的时序预期对潜意识抑制加工的影响的计算研究
Yongchun Wang,Jinlan Cao,Wandong Chen et al.
Yongchun Wang et al.
Numerous studies have shown that motor inhibition can be triggered automatically when the cognitive system encounters interfering stimuli, even a suspicious stimulus in the absence of perceptual awareness (e.g., the negative compatibility e...
Ming-Chi Tseng
Ming-Chi Tseng
This study primarily investigates the impact of ignoring nonnormal distributions in RSEM models on the estimation of parameters in the second residual structure. The results of the simulation studies demonstrate that when the RSEM model fol...
Regularized Cross-Sectional Network Modeling with Missing Data: A Comparison of Methods [0.03%]
具有缺失数据的正则化横截面网络模型及其方法比较
Carl F Falk,Joshua Starr
Carl F Falk
Many applications of network modeling involve cross-sectional data of psychological variables (e.g., symptoms for psychological disorders), and analyses are often conducted using a regularized Gaussian graphical model (GGM) employing a lass...
Dynamics Between Asynchronously Measured Variables: A Multilevel Approach to Momentary Affect and Morning Sleep Reports [0.03%]
不同步测量变量间的动态关系：对瞬间情绪和晨间睡眠报告的多层次方法研究
Sophie W Berkhout,Noémi K Schuurman,Koen Niemeijer et al.
Sophie W Berkhout et al.
The reciprocal relations between sleep and affect have been a common focus in psychological research. Researchers studying affective processes often collect data multiple times a day over several days. Subjective sleep quality, on the other...