%0 Journal Article
%T Methods and Recent Research Development in Analysis of Interaction Effects between Latent Variables<br>潜变量交互效应分析方法
%A Wen Zhonglin
%A <br>温忠麟
%A 侯杰泰
%A 马什赫伯特
%J 心理科学进展
%D 2003
%I 
%X Analysis of interaction, the phenomenon that the effect (including the size and direction) of a certain independent variable (or predictor) depends on the state (size, value) of another independent variable, has always been important in psychological or social research. Methods for the analysis of interaction effects between observed variables were briefly reviewed. The main concern of the article was the detailed comparison and discussion on the analysis of latent variable interactions. Four basic approaches, including regression on factor scores, multiple-group structural equation modeling, structural equation modeling with product terms, and two-stage least square regression, were illustrated and contrasted. Advances in these and other analytical methods, including recently developed latent moderated structural equations (LMS) approach and generalized appended product indicator (GAPI) procedure, were also described and evaluated.
%K latent variable
%K interaction effect
%K regression
%K structural equation modeling (SEM)<br>潜变量交互效应分析方法
%K 回归分析
%K 分组线性结构方程模型分析
%K 两步最小二乘回归分析
%K 心理学
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=C94E3F05CFD5644C9DAA97BEB9148D4784B6B22E64D84F4E&jid=FAB1670F77CCC8EC7D836E0D41B12069&aid=1B793D73A60F66F4&yid=D43C4A19B2EE3C0A&vid=708DD6B15D2464E8&iid=94C357A881DFC066&sid=2EAE52BA5B1222A9&eid=4158386E7B9422C8&journal_id=1671-3710&journal_name=心理科学进展&referenced_num=13&reference_num=26