This book is designed to provide a conceptually-oriented introduction to multiple regression. It is divided into two main parts. The author concentrates on multiple regression analysis in the first part and structural equation modeling in the second part. Provides an introduction to multiple regression analysis, path analysis, confirmatory factor analysis, and structural equation modeling. Students gain a foundation in multiple regression. Multiple regression is used as a jumping-off place for structural equation ...
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This book is designed to provide a conceptually-oriented introduction to multiple regression. It is divided into two main parts. The author concentrates on multiple regression analysis in the first part and structural equation modeling in the second part. Provides an introduction to multiple regression analysis, path analysis, confirmatory factor analysis, and structural equation modeling. Students gain a foundation in multiple regression. Multiple regression is used as a jumping-off place for structural equation modeling with measured variables (path analysis). Latent variables are introduced as a way of obviating some of the threats to path models, and SEM with latent variables is presented as the culmination of the previous topics. (not so sure about this one) Conceptual, rather than formula oriented, approach "
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