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 ...
Exploring Within-Person Variability in Qualitative Negative and Positive Emotional Granularity by Means of Latent Markov Factor Analysis [0.03%]
采用潜在马尔可夫因子分析探索定性消极情绪和积极情绪的个体内部变化性
Marcel C Schmitt,Leonie V D E Vogelsmeier,Yasemin Erbas et al.
Marcel C Schmitt et al.
Emotional granularity (EG) is an individual's ability to describe their emotional experiences in a nuanced and specific way. In this paper, we propose that researchers adopt latent Markov factor analysis (LMFA) to investigate within-person ...
A Model-Based Approach to the Disentanglement and Differential Treatment of Engaged and Disengaged Item Omissions [0.03%]
基于模型的参与度和非参与度项目遗漏分离及差异化处理的方法研究
Esther Ulitzsch,Susu Zhang,Steffi Pohl
Esther Ulitzsch
Item omissions in large-scale assessments may occur for various reasons, ranging from disengagement to not being capable of solving the item and giving up. Current response-time-based classification approaches allow researchers to implement...
Understanding Composite-Based Structural Equation Modeling Methods From the Perspective of Regression Component Analysis [0.03%]
从回归成分分析角度理解基于构件的结构方程建模方法
Edward E Rigdon
Edward E Rigdon
Regression component analysis (RCA) replaces the factors in a factor analysis model with weighted composites of the model's observed variables. The weight matrix may be calculated from the factor model's parameter estimates. Thus, RCA param...
Considering the 'With Whom': Differences Between Event- and Signal-Contingent ESM Data of Person-Specific Social Interactions [0.03%]
考虑交往对象：事件触发式和信号触发式生态 moment 社会互动测量的差异性分析
Marie Stadel,Marijtje A J van Duijn,Aidan G C Wright et al.
Marie Stadel et al.
Experience sampling studies often aim to capture social interactions. A central methodological question in such studies is whether to use event- or signal-contingent sampling. The little existing research on this issue has not taken into ac...
Lourens Waldorp,Jonas Haslbeck
Lourens Waldorp
Calculating confidence intervals and p-values of edges in networks is useful to decide their presence or absence and it is a natural way to quantify uncertainty. Since lasso estimation is often used to obtain edges in a network, and the und...