Introduction to Structural Equation Models prepares the reader to understand the recent sociological literature on the use of structural equation models in research, and discusses methodological questions pertaining to such models. The material in first seven chapters is almost entirely standard, with the remaining four introducing progressively more open-ended issues, seducing the reader into beginning to think for himself about the properties of models or even to suggest problems that may intrigue the advanced student.
This book traces the theory and methodology of multivariate statistical analysis and shows how it can be conducted in practice using the LISREL computer program.
A Workbook Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray. Joseph F. Hair Jr. • G. Tomas M. Hult Christian M. Ringle • Marko Sarstedt Nicholas P. Danks • Soumya Ray Partial Least ...
Presents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using Mplus Focusing on the conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates basic concepts ...
Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his ...
Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to structural equation modelling (SEM).
May, R. M., Levin, S.A., & Sugihara, G. (2008). Complex systems: Ecology for bankers. Nature, 451(7181), 893–895. McPherson, M., Smith-Lovin, L., & Cook, ... Pryor, F. L. (1980). The Asian mode of production as an economic system.
The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts.
The new edition's expanded use of applications make this book ideal for advanced students and researchers in psychology, education, business, health care, political science, sociology, and biology.
New to This Edition *Extensively revised to cover important new topics: Pearl' s graphing theory and SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. ...
... McDonald«s Centrality Index (Mc; McDonald, 1989) was minimally affected by model size when comparing means. The difference in fit between the two models, ĵMc, can then be calculated by subtracting the Mc for M0 from the Mc for M1.