摘要
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。从显变量的调节效应、潜变量的调节效应、多层数据的调节效应、基于两层回归模型的单层调节分析、纵向数据的调节效应、调节和中介的整合模型六个主题系统地总结了国内调节效应分析的方法学研究的发展历程。最后对调节效应的未来研究方向做了讨论和拓展。
Moderation models are frequently used in the research of psychology and other social science disciplines.Moderation indicates that the strength and/or direction of the relation between an independent variable and a dependent variable is affected by a third variable called the moderator.Methodological research on moderation effects in China’s mainland covers the following topics:moderation effects of observed variables,latent variables,multi-level data and longitudinal data;the single-level moderation effect analysis based on a two-level regression model;the integration model of moderation and mediation.Finally,the future research directions are discussed.
作者
方杰
温忠麟
欧阳劲樱
蔡保贞
FANG Jie;WEN Zhonglin;OUYANG Jinying;CAI Baozhen(Institute of New Development&Department of Applied Psychology,Guangdong University of Finance&Economics,Guangzhou 510320,China;School of Psychology&Center for Studies of Psychological Application,South China Normal University,Guangzhou 510631,China)
出处
《心理科学进展》
CSSCI
CSCD
北大核心
2022年第8期1703-1714,共12页
Advances in Psychological Science
基金
国家自然科学基金项目(32171091)
国家社会科学基金项目(17BTJ035)资助。
关键词
调节效应
潜变量
类别变量
多层数据
纵向数据
moderating effect
latent variable
categorical variable
multilevel data
longitudinal data