作者: Karin Schermelleh-Engel , Karl Schweizer , Helfried Moosbrugger
DOI:
关键词: Differential psychology 、 Latent variable 、 Confirmatory factor analysis 、 Latent variable model 、 Psychology 、 Structural equation modeling 、 Econometrics 、 Sample (statistics) 、 Representation (mathematics) 、 Theoretical computer science 、 Structure (mathematical logic)
摘要: This paper provides descriptions and applications of models for investigating hierarchical structures in differential psychology. These are sub-classified into common-source, person-situation state-trait according to the characteristic restrictions relationships between manifest variables combinations first-order latent variables. The include one level two or more levels It is advantage this framework that a few can be adapted large number by minor modifications. Cross-sectional longitudinal approaches suggested different aspects issue. While cross-sectional approach concerned with behavior situations, deals observed at occasions. Structural equation modeling formal representation these models. Some applied structure social optimism. For sample N=462 participants it demonstrated model including three second-order variable an appropriate data.