By Randall E. Schumacker, Richard G. Lomax
Noted for its crystal transparent factors, this e-book is taken into account the main complete introductory textual content to structural equation modeling (SEM). famous for its thorough overview of simple strategies and a wide selection of versions, this publication higher prepares readers to use SEM to quite a few learn questions. Programming information and using algebra are stored to a minimal to aid readers simply grab the innovations to allow them to behavior their very own research and critique similar learn. that includes a better emphasis on statistical strength and version validation than different texts, every one bankruptcy good points key techniques, examples from a variety of disciplines, tables and figures, a precis, and workouts.
Highlights of the generally revised 4th version include:
-Uses varied SEM software program (not simply Lisrel) together with Amos, EQS, LISREL, Mplus, and R to illustrate applications.
-Detailed creation to the statistical equipment with regards to SEM together with correlation, regression, and issue research to maximise realizing (Chs. 1 – 6).
-The five step method of modeling information (specification, id, estimation, checking out, and amendment) is now coated in additional aspect and sooner than the modeling chapters to supply a extra coherent view of ways to create types and interpret effects (ch. 7).
-More dialogue of speculation trying out, strength, sampling, impression sizes, and version healthy, serious issues for starting modelers (ch. 7).
- every one version bankruptcy now specializes in one strategy to increase knowing through supplying extra description, assumptions, and interpretation of effects, and an workout regarding research and output (Chs. eight -15).
-The use of SPSS AMOS diagrams to explain the theoretical models.
-The key gains of every of the software program applications (Ch. 1).
-Guidelines for reporting SEM examine (Ch. 16).
-www.routledge.com/9781138811935 which gives entry to facts units that may be used with any application, hyperlinks to different SEM examples, comparable readings, and magazine articles, and extra.
Reorganized, the hot version starts with a extra exact creation to SEM together with many of the software program programs on hand, by way of chapters on info access and enhancing, and correlation that is severe to knowing how lacking facts, non-normality, dimension, and restrict of diversity in rankings impacts SEM research. a number of regression, direction, and issue types are then reviewed and exploratory and confirmatory issue research is brought. those chapters reveal how saw variables proportion variance in defining a latent variables and introduce how size mistakes might be faraway from saw variables. bankruptcy 7 information the five SEM modeling steps together with version specification, identity, estimation, trying out, and amendment besides a dialogue of speculation checking out and the similar problems with strength, and pattern and impact sizes.Chapters eight to fifteen offer complete introductions to diversified SEM versions together with a number of team, Second-Order CFA, Dynamic issue, Multiple-Indicator Multiple-Cause, combined Variable and mix, Multi-Level, Latent development, and SEM interplay versions. all of the five SEM modeling steps is defined for every version in addition to an program. bankruptcy workouts offer perform with and improve realizing of the research of every version. The booklet concludes with a evaluation of SEM directions for reporting study.
Designed for introductory graduate classes in structural equation modeling, issue research, complex, multivariate, or utilized information, quantitative innovations, or facts II taught in psychology, schooling, company, and the social and healthcare sciences, this functional publication additionally appeals to researchers in those disciplines. must haves comprise an creation to intermediate facts that covers correlation and regression principles.
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Additional info for A Beginner’s Guide to Structural Equation Modeling
PRELIS2: User’s reference guide. Lincolnwood, IL: Scientific Software International. , & du Toit, M. (2001). LISREL8: New statistical features. Chicago, IL: Scientific Software International. McKnight, P. , McKnight, K. , & Aurelio, J. F. (2007). Missing data: A gentle introduction. New York: Guilford. -Y. , & Ehman, L. H. (2007). Advances in missing data methods and implications for educational research. In S. S. ), Real data analysis. Charlotte: Information Age. Schafer, J. L. (1997). Analysis of incomplete data.
Many researchers choose SEM software based on whether it runs in a Windows, Mac OS X, or UNIX (Linux) environment on their computer. We will demonstrate regression models, path models, confirmatory factor models, and the various SEM models in the book using some of these SEM software programs. We understand that the reader will not have access to most of these software programs; however, the data sets and examples in the book can be run with the SEM software available to you. The data and programs on the book website were saved as ASCII files, which permit easy copying and use in any SEM software program.
Analysis of incomplete data. Boca Raton, FL: Chapman & Hall/CRC Press. Stevens, S. S. (1946). On the theory of scales of measurement. Science, 103, 677–680. 29 Chapter 3 CORRELATION CHAPTER CONCEPTS Types of correlation coefficients Factors affecting correlation Outliers Correction for attenuation Non-positive definite matrices Bivariate, part, and partial correlation What is a suppressor variable? Correlation versus causation In the previous chapter, we explained several data preparation issues that can affect structural equation modeling.