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Modeled After Barbara Byrne's Other Best-selling Structural Equation Modeling (sem) Books, This Practical Guide Reviews The Basic Concepts And Applications Of Sem Using M Plus Versions 5 & 6. The Author Reviews Sem Applications Based On Actual Data Taken From Her Own Research. Using Non-mathematical Language, It Is Written For The Novice Sem User. With Each Application Chapter, The Author Walks The Reader Through All Steps Involved In Testing The Sem Model Including: An Explanation Of The Issues Addressed Illustrated And Annotated Testing Of The Hypothesized And Post Hoc Models Explanation And Interpretation Of All M Plus Input And Output Files Important Caveats Pertinent To The Sem Application Under Study A Description Of The Data And Reference Upon Which The Model Was Based The Corresponding Data And Syntax Files Available At Http://www.psypress.com/sem-with-mplus/datasets. The First Two Chapters Introduce The Fundamental Concepts Of Sem And Important Basics Of The M Plus Program. The Remaining Chapters Focus On Sem Applications And Include A Variety Of Sem Models Presented Within The Context Of Three Sections: Single-group Analyses, Multiple-group Analyses, And Other Important Topics, The Latter Of Which Includes The Multitrait-multimethod, Latent Growth Curve, And Multilevel Models. Intended For Researchers, Practitioners, And Students Who Use Sem And M Plus, This Book Is An Ideal Resource For Graduate Level Courses On Sem Taught In Psychology, Education, Business, And Other Social And Health Sciences And/or As A Supplement For Courses On Applied Statistics, Multivariate Statistics, Intermediate Or Advanced Statistics, And/or Research Design. Appropriate For Those With Limited Exposure To Sem Or M Plus, A Prerequisite Of Basic Statistics Through Regression Analysis Is Recommended.
This book investigates the practical application of structural equation modeling (SEM) using the Mplus software program to analyze complex social and health science data. Barbara M. Byrne, an established authority in quantitative research methods, provides a non-mathematical framework designed to guide novice users through the technical nuances of SEM. By utilizing actual research data, the author demonstrates how to construct, test, and interpret statistical models while navigating the specific syntax and output requirements of Mplus versions 5 and 6.
What You Will Find
Experts and educators frequently cite this work as a foundational resource for graduate-level courses in psychology, business, and education. Readers often note the clarity of the prose, which successfully demystifies complex statistical procedures for those with limited prior exposure to SEM.
Page Count:
432
Publication Date:
2013-01-01
Publisher:
Taylor & Francis Group
ISBN-10:
0203807642
ISBN-13:
9780203807644
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