Considered the most comprehensive of the introductory guides to structural equation modeling (SEM), this accessible text prepares readers to conduct their own analysis and critique related research. The comprehensive review of both basic concepts anda wide variety of SEM model applicationsincluding multilevel modeling, mixture modeling, and Monte Carlo methods better prepares readers to apply SEM to a wider variety of research questions, including those with complex designs and measurement problems. Noted for its accessible, applied approach, examples are formulated to keep programming details and the use of algebra to a minimum to help readers more easily grasp the critical concepts and theories. The book also features a greater emphasis on statistical power and model validation than other texts, each chapter encompassing key concepts, a chapter overview, numerous examples from a variety of disciplines, tables and figures including path diagrams, a summary, and exercises to assist with conceptual understanding. The authors' thorough four step approach to modeling data is now introduced just prior to the individual chapters on the models and then applied to each model introduced in the book.
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.
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.
This revised edition is intended to give students and researchers a basic understanding of SEM, focusing on the conceptual steps one takes in analyzing theoretical models.
TABLE 16.1 SPSS Correlation Output Correlations COLUMN 1 COLUMN 2 COLUMN 3 COLUMN 4 COL1 Pearson Correlation 1.000 .404a ... cholesky root of cov matrix */ z = normal(j(v,n, seed)); /* generate nvars*samplesize normal distribution */.
This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM).
In this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach.
This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM).
A highly readable introduction, Using LISREL for Structural Equation Modeling is for researchers and graduate students in the social sciences who want or need to use structural equation modeling techniques to answer substantive research ...
"This text aims to provide readers with a nonmathematical introduction to the basic concepts associated with structural equation modeling, and to illustrate its basic applications using the Mplus program"--Provided by publisher.
This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation ...