[HTML][HTML] Brain structure and cognitive ability in healthy aging: a review on longitudinal correlated change
Little is still known about the neuroanatomical substrates related to changes in specific
cognitive abilities in the course of healthy aging, and the existing evidence is predominantly …
cognitive abilities in the course of healthy aging, and the existing evidence is predominantly …
Big data and human resource management research: An integrative review and new directions for future research
The lack of sufficient big data-based approaches impedes the development of human
resource management (HRM) research and practices. Although scholars have realized the …
resource management (HRM) research and practices. Although scholars have realized the …
[HTML][HTML] 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 …
Methodological research and model development on structural equation models in China's mainland from 2001 to 2020
Y WANG, Z WEN, W LI, J FANG - Advances in Psychological …, 2022 - journal.psych.ac.cn
Structural equation modeling (SEM) is an important statistical method in social science
research. In the first two decades of the 21st century, great progress has been made in …
research. In the first two decades of the 21st century, great progress has been made in …
[HTML][HTML] Science interest, utility, self-efficacy, identity, and science achievement among high school students: An application of SEM tree
A Alhadabi - Frontiers in Psychology, 2021 - frontiersin.org
The current study explored the associations between non–cognitive science-related
variables, ie, science interest, utility, self-efficacy, science identity, and science achievement …
variables, ie, science interest, utility, self-efficacy, science identity, and science achievement …
Quantifying the importance of lifetime frequency versus number of methods in conceptualizing nonsuicidal self-injury severity.
Objective: Extant literature has generally conceptualized nonsuicidal self-injury severity in
terms of its frequency, although more recently researchers have assessed nonsuicidal self …
terms of its frequency, although more recently researchers have assessed nonsuicidal self …
Exploratory factor analysis trees: Evaluating measurement invariance between multiple covariates
P Sterner, D Goretzko - Structural Equation Modeling: A …, 2023 - Taylor & Francis
Measurement invariance (MI) describes the equivalence of a construct across groups. To be
able to meaningfully compare latent factor means between groups, it is crucial to establish …
able to meaningfully compare latent factor means between groups, it is crucial to establish …
Comparison of frequentist and Bayesian regularization in structural equation modeling
R Jacobucci, KJ Grimm - Structural Equation Modeling: A …, 2018 - Taylor & Francis
Research in regularization, as applied to structural equation modeling (SEM), remains in its
infancy. Specifically, very little work has compared regularization approaches across both …
infancy. Specifically, very little work has compared regularization approaches across both …
Application of structural equation modeling (SEM) in estimating the contributing factors to satisfaction of TASKA services in East Coast Malaysia
AF Kharuddin, N Azid, Z Mustafa… - Asian Journal of …, 2020 - ojs.upsi.edu.my
This research shows the application of the Structured Equation Modeling (SEM) to obtain the
best model for studying the relationship between the more efficient and accurate against the …
best model for studying the relationship between the more efficient and accurate against the …
[图书][B] Machine Learning for Social and Behavioral Research
Today's social and behavioral researchers increasingly need to know:" What do I do with all
this data?" This book provides the skills needed to analyze and report large, complex data …
this data?" This book provides the skills needed to analyze and report large, complex data …