Structural Equation Modeling: Concepts, Issues, and Applications

From Book News, Inc.
For graduate students and seasoned researchers in the social and behavioral sciences, explains the concepts and methodologies of applying structural equation modeling to research problems. Among the topics are estimates and tests, evaluating the model fit, non-normal variables, and objectivity and reasoning. The examples of applications include the relation of personality variables to symptom complaint, and predictors of change in antisocial behavior during elementary school for boys. Assumes a prior knowledge of traditional inferential statistics. Annotation copyright Book News, Inc. Portland, Or.


Review
"SEMCIA by and large accomplishes its goal to be a convenient, contemporary, and accurate source of knowledge in SEM." 


Review
"SEMCIA by and large accomplishes its goal to be a convenient, contemporary, and accurate source of knowledge in SEM." 


Book Description
Practical and up-to-date, Structural Equation Modeling includes chapters on major aspects of the structural equation modeling approach to research design and data analysis. Written by internationally recognized leaders in structural equation modeling, this book targets graduate students and seasoned researchers in the social and behavioral sciences who wish to understand the basic concepts and issues associated with the structural equation modeling approach and applications to research problems. Though technically sound, the chapters are primarily nontechnical in content and stylemaking the volume an excellent introduction to the structural equation modeling approach for readers studied in traditional inferential statistics. Early chapters are devoted to fundamental concepts such as estimation, fit, assumptions, power, and inference. Later chapters address such practical issues as the use of computer programs for applying the approach to research questions in the social and behavioral sciences.


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For graduate students and seasoned researchers in the social and behavioral sciences, explains the concepts and methodologies of applying structural equation modeling to research problems. Among the topics are estimates and tests, evaluating the model fit, non-normal variables, and objectivity and reasoning. The examples of applications include the relation of personality variables to symptom complaint, and predictors of change in antisocial behavior during elementary school for boys. Assumes a prior knowledge of traditional inferential statistics. Annotation c. Book News, Inc., Portland, OR (booknews.com)


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