Structural equation modeling in organizational research: The state of our science and some proposals for its future
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 …
years within organizational research and beyond. There have been many different …
[HTML][HTML] Developmental cognitive neuroscience using latent change score models: A tutorial and applications
Assessing and analysing individual differences in change over time is of central scientific
importance to developmental neuroscience. However, the literature is based largely on …
importance to developmental neuroscience. However, the literature is based largely on …
Extending the minority stress model to understand mental health problems experienced by the autistic population
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 …
autism as inevitably linked. Other possible explanations for mental health problems among …
Psychometric network models from time-series and panel data
S Epskamp - Psychometrika, 2020 - Springer
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 …
graphical models (GGMs)—an undirected network model of partial correlations—between …
Generalized network psychometrics: Combining network and latent variable models
We introduce the network model as a formal psychometric model, conceptualizing the
covariance between psychometric indicators as resulting from pairwise interactions between …
covariance between psychometric indicators as resulting from pairwise interactions between …
新世纪20 年国内结构方程模型方法研究与模型发展
王阳, 温忠麟, 李伟, 方杰 - 心理科学进展, 2022 - journal.psych.ac.cn
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 …
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 …
[图书][B] Principles and practice of structural equation modeling
RB Kline - 2023 - books.google.com
Significantly revised, the fifth edition of the most complete, accessible text now covers all
three approaches to structural equation modeling (SEM)--covariance-based SEM …
three approaches to structural equation modeling (SEM)--covariance-based SEM …
Structural equation modeling with many variables: A systematic review of issues and developments
L Deng, M Yang, KM Marcoulides - Frontiers in psychology, 2018 - frontiersin.org
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 …
Structural equation modeling (SEM) is commonly used to analyze such data. With a …
Age, vascular health, and Alzheimer disease biomarkers in an elderly sample
P Vemuri, TG Lesnick, SA Przybelski… - Annals of …, 2017 - Wiley Online Library
Objective To investigate the associations between age, vascular health, and Alzheimer
disease (AD) imaging biomarkers in an elderly sample. Methods We identified 430 …
disease (AD) imaging biomarkers in an elderly sample. Methods We identified 430 …
Machine learning and psychological research: The unexplored effect of measurement
R Jacobucci, KJ Grimm - Perspectives on Psychological …, 2020 - journals.sagepub.com
Machine learning (ie, data mining, artificial intelligence, big data) has been increasingly
applied in psychological science. Although some areas of research have benefited …
applied in psychological science. Although some areas of research have benefited …