Gemma Hammerton,Jon Heron,Katie Lewis et al.
Gemma Hammerton et al.
Latent classes are a useful tool in developmental research, however there are challenges associated with embedding them within a counterfactual mediation model. We develop and test a new method "updated pseudo class draws (uPCD)" to examine...
Multilevel Latent Differential Structural Equation Model with Short Time Series and Time-Varying Covariates: A Comparison of Frequentist and Bayesian Estimators [0.03%]
短时间序列和时变协变量的多层次潜在差异结构方程模型：频率学派估计与贝叶斯估计的比较
Young Won Cho,Sy-Miin Chow,Christina M Marini et al.
Young Won Cho et al.
Continuous-time modeling using differential equations is a promising technique to model change processes with longitudinal data. Among ways to fit this model, the Latent Differential Structural Equation Modeling (LDSEM) approach defines lat...
Finite Mixtures of Latent Trait Analyzers With Concomitant Variables for Bipartite Networks: An Analysis of COVID-19 Data [0.03%]
具有伴随变量的有限潜在特征分析混合模型在二分网络中的应用：对COVID-19数据进行分析
Dalila Failli,Maria Francesca Marino,Francesca Martella
Dalila Failli
Networks consist of interconnected units, known as nodes, and allow to formally describe interactions within a system. Specifically, bipartite networks depict relationships between two distinct sets of nodes, designated as sending and recei...
The Effects of Questionnaire Length on the Relative Impact of Response Styles in Ambulatory Assessment [0.03%]
问卷长度对日间评估中反应风格相对影响的效应
Kilian Hasselhorn,Charlotte Ottenstein,Thorsten Meiser et al.
Kilian Hasselhorn et al.
Ambulatory assessment (AA) is becoming an increasingly popular research method in the fields of psychology and life science. Nevertheless, knowledge about the effects that design choices, such as questionnaire length (i.e., number of items ...
Linear Mixed-Effects Models for Dependent Data: Power and Accuracy in Parameter Estimation [0.03%]
依赖数据的线性混合效应模型：参数估计中的功效与精确度
Yue Liu,Kit-Tai Hau,Hongyun Liu
Yue Liu
Linear mixed-effects models have been increasingly used to analyze dependent data in psychological research. Despite their many advantages over ANOVA, critical issues in their analyses remain. Due to increasing random effects and model comp...
Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods [0.03%]
心理测量网络中条件独立性的检验：三种贝叶斯方法的分析
Nikola Sekulovski,Sara Keetelaar,Karoline Huth et al.
Nikola Sekulovski et al.
Network psychometrics uses graphical models to assess the network structure of psychological variables. An important task in their analysis is determining which variables are unrelated in the network, i.e., are independent given the rest of...
Bayesian Multivariate Logistic Regression for Superiority and Inferiority Decision-Making under Observable Treatment Heterogeneity [0.03%]
基于可观测治疗异质性的优效和劣效决策的贝叶斯多元逻辑回归
Xynthia Kavelaars,Joris Mulder,Maurits Kaptein
Xynthia Kavelaars
The effects of treatments may differ between persons with different characteristics. Addressing such treatment heterogeneity is crucial to investigate whether patients with specific characteristics are likely to benefit from a new treatment...
Methodological and Statistical Practices of Using Symptom Networks to Evaluate Mental Health Interventions: A Review and Reflections [0.03%]
评估心理健康干预措施的症状网络使用方法和统计实践的回顾与反思
Lea Schumacher,Julian Burger,Jette Echterhoff et al.
Lea Schumacher et al.
The network approach to psychopathology, which assesses associations between individual symptoms, has recently been applied to evaluate treatments for mental disorders. While various options for conducting network analyses in intervention r...
Understanding the Consequences of Collinearity for Multilevel Models: The Importance of Disaggregation Across Levels [0.03%]
理解共线性对多层模型的影响：跨层次细化的重要性
Haley E Yaremych,Kristopher J Preacher
Haley E Yaremych
In multilevel models, disaggregating predictors into level-specific parts (typically accomplished via centering) benefits parameter estimates and their interpretations. However, the importance of level-specificity has been sparsely addresse...
Determining Sample Size Requirements in EFA Solutions: A Simple Empirical Proposal [0.03%]
确定EFA解的样本量要求的一个简单的实证建议
Urbano Lorenzo-Seva,Pere J Ferrando
Urbano Lorenzo-Seva
In unrestricted or exploratory factor analysis (EFA), there is a wide range of recommendations about the size samples should be to attain correct and stable solutions. In general, however, these recommendations are either rules of thumb or ...