The use of structural equation modeling (SEM) has grown substantially over the past 40
years within organizational research and beyond. There have been many different …

Assessing and analysing individual differences in change over time is of central scientific
importance to developmental neuroscience. However, the literature is based largely on …

Research into autism and mental health has traditionally associated poor mental health and
autism as inevitably linked. Other possible explanations for mental health problems among …

Researchers in the field of network psychometrics often focus on the estimation of Gaussian
graphical models (GGMs)—an undirected network model of partial correlations—between …

We introduce the network model as a formal psychometric model, conceptualizing the
covariance between psychometric indicators as resulting from pairwise interactions between …

新世纪前20 年, 国内结构方程模型(SEM) 方法研究主要涉及5 个主题: 模型发展, 参数估计,
模型评价, 测量不变性及特殊数据处理, 特别是模型发展方面(即SEM 的各种变式) 有较多成果 …

Significantly revised, the fifth edition of the most complete, accessible text now covers all
three approaches to structural equation modeling (SEM)--covariance-based SEM …

Survey data in social, behavioral, and health sciences often contain many variables (p).
Structural equation modeling (SEM) is commonly used to analyze such data. With a …

Objective To investigate the associations between age, vascular health, and Alzheimer
disease (AD) imaging biomarkers in an elderly sample. Methods We identified 430 …

Machine learning (ie, data mining, artificial intelligence, big data) has been increasingly
applied in psychological science. Although some areas of research have benefited …