Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming

  • ISBN 13:


  • ISBN 10:


  • Edition: 1st
  • Format: Hardcover
  • Copyright: 07/28/2011
  • Publisher: Psychology Pres

Note: Not guaranteed to come with supplemental materials (access cards, study guides, lab manuals, CDs, etc.)

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Modeled after Barbara Byrne#xE2;#xAC;"s other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using MplusVersion 6. The author reviews SEM applications based on#xE3;#xAC;#xAC;actual data taken from#xE3;#xAC;#xAC;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 Mplusinput and output files important caveats pertinent to the SEM application under study#xE3;#xAC;#xAC; a description of the data and reference upon which the model was based the corresponding data and syntax files available on the book#xE2;#xAC;"s website. The first two chapters introduce the fundamental concepts of SEM andimportant basics#xE3;#xAC;#xAC;of the Mplus 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,#xE3;#xAC;#xAC;and students who use SEM and Mplusin their work, this book#xE3;#xAC;#xAC;is an ideal resource for graduate level courses on SEM taught in departments of 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. This book is appropriate for those having limited or no previous exposure to either SEM or Mplus, although a prerequisite of basic statistics through regression analysis is recommended. It serves as an invaluable companion to the Mplus User#xE2;#xAC;"s Guide, as well as to any SEM textbook.

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