国内中介效应的方法学研究
温忠麟， 方杰， 谢晋艳， 欧阳劲樱 - 心理科学进展, 2022 - journal.psych.ac.cn
中介效应可以分析自变量对因变量的影响过程和作用机制, 已成为分析多个变量之间关系的一种
重要统计方法. 最近20 年, 中介效应成了研究方法的一个热点. 从中介效应的检验方法, 效应量 …
重要统计方法. 最近20 年, 中介效应成了研究方法的一个热点. 从中介效应的检验方法, 效应量 …
The compatibility of theoretical frameworks with machine learning analyses in psychological research
Highlights•Supervised machine learning is frequently used in psychology
research.•Machine learning offers advantages over traditional statistical analyses.•Theory …
research.•Machine learning offers advantages over traditional statistical analyses.•Theory …
Regularized structural equation modeling
R Jacobucci, KJ Grimm, JJ McArdle - Structural equation modeling …, 2016 - Taylor & Francis
A new method is proposed that extends the use of regularization in both lasso and ridge
regression to structural equation models. The method is termed regularized structural …
regression to structural equation models. The method is termed regularized structural …
Methodological research on mediation effects in China's mainland
Z Wen, J Fang, J Xie, J Ouyang - Advances in Psychological …, 2022 - journal.psych.ac.cn
Being able to analyze the influence mechanism of independent variables on dependent
variables, the analysis of mediation effect has become an important statistical method in …
variables, the analysis of mediation effect has become an important statistical method in …
The relation between emotion understanding and theory of mind in children aged 3 to 8: The key role of language
Although a significant body of research has investigated the relationships among children's
emotion understanding (EU), theory of mind (ToM), and language abilities. As far as we …
emotion understanding (EU), theory of mind (ToM), and language abilities. As far as we …
On the performance of Bayesian approaches in small samples: A comment on Smid, McNeish, Miocevic, and van de Schoot (2020)
S Zitzmann, O Lüdtke, A Robitzsch… - … Equation Modeling: A …, 2021 - Taylor & Francis
This journal recently published a systematic review of simulation studies on the performance
of Bayesian approaches for estimating latent variable models in small samples. The authors …
of Bayesian approaches for estimating latent variable models in small samples. The authors …
国内调节效应的方法学研究
方杰， 温忠麟， 欧阳劲樱， 蔡保贞 - 心理科学进展, 2022 - journal.psych.ac.cn
在心理学和其他社科研究领域, 大量实证文章建立调节效应模型, 以分析自变量对因变量的影响
是如何随着调节变量的变化而改变. 过去10 多年, 调节效应分析成了方法学研究的一个热点 …
是如何随着调节变量的变化而改变. 过去10 多年, 调节效应分析成了方法学研究的一个热点 …
A practical guide to variable selection in structural equation modeling by using regularized multiple-indicators, multiple-causes models
R Jacobucci, AM Brandmaier… - Advances in methods …, 2019 - journals.sagepub.com
Methodological innovations have allowed researchers to consider increasingly
sophisticated statistical models that are better in line with the complexities of real-world …
sophisticated statistical models that are better in line with the complexities of real-world …
Identidication of novel biomarkers in non-small cell lung cancer using machine learning
F Wang, Q Su, C Li - Scientific Reports, 2022 - nature.com
Lung cancer is one of the leading causes of cancer-related deaths worldwide, and non-
small cell lung cancer (NSCLC) accounts for a large proportion of lung cancer cases, with …
small cell lung cancer (NSCLC) accounts for a large proportion of lung cancer cases, with …
Regularized structural equation modeling to detect measurement bias: Evaluation of lasso, adaptive lasso, and elastic net
X Liang, R Jacobucci - Structural Equation Modeling: A …, 2020 - Taylor & Francis
Correct detection of measurement bias could help researchers revise models or refine
psychological scales. Measurement bias detection can be viewed as a variable-selection …
psychological scales. Measurement bias detection can be viewed as a variable-selection …