Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
|
Your cart is empty |
|||
Showing 1 - 8 of 8 matches in All Departments
A Beginner's Guide to Structural Equation Modeling, fifth edition, has been redesigned with consideration of a true beginner in structural equation modeling (SEM) in mind. The book covers introductory through intermediate topics in SEM in more detail than in any previous edition. All of the chapters that introduce models in SEM have been expanded to include easy-to-follow, step-by-step guidelines that readers can use when conducting their own SEM analyses. These chapters also include examples of tables to include in results sections that readers may use as templates when writing up the findings from their SEM analyses. The models that are illustrated in the text will allow SEM beginners to conduct, interpret, and write up analyses for observed variable path models to full structural models, up to testing higher order models as well as multiple group modeling techniques. Updated information about methodological research in relevant areas will help students and researchers be more informed readers of SEM research. The checklist of SEM considerations when conducting and reporting SEM analyses is a collective set of requirements that will help improve the rigor of SEM analyses. This book is intended for true beginners in SEM and is designed for introductory graduate courses in SEM taught in psychology, education, business, and the social and healthcare sciences. This book also appeals to researchers and faculty in various disciplines. Prerequisites include correlation and regression methods.
A Beginner's Guide to Structural Equation Modeling, fifth edition, has been redesigned with consideration of a true beginner in structural equation modeling (SEM) in mind. The book covers introductory through intermediate topics in SEM in more detail than in any previous edition. All of the chapters that introduce models in SEM have been expanded to include easy-to-follow, step-by-step guidelines that readers can use when conducting their own SEM analyses. These chapters also include examples of tables to include in results sections that readers may use as templates when writing up the findings from their SEM analyses. The models that are illustrated in the text will allow SEM beginners to conduct, interpret, and write up analyses for observed variable path models to full structural models, up to testing higher order models as well as multiple group modeling techniques. Updated information about methodological research in relevant areas will help students and researchers be more informed readers of SEM research. The checklist of SEM considerations when conducting and reporting SEM analyses is a collective set of requirements that will help improve the rigor of SEM analyses. This book is intended for true beginners in SEM and is designed for introductory graduate courses in SEM taught in psychology, education, business, and the social and healthcare sciences. This book also appeals to researchers and faculty in various disciplines. Prerequisites include correlation and regression methods.
By focusing primarily on the application of structural equation modeling (SEM) techniques in example cases and situations, this book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical derivations. The book was written for a broad audience crossing many disciplines, assumes an understanding of graduate level multivariate statistics, including an introduction to SEM.
Featuring contributions from some of the leading researchers in the
field of SEM, most chapters are written by the author(s) who
originally proposed the technique and/or contributed substantially
to its development. Content highlights include latent variable
mixture modeling, multilevel modeling, interaction modeling, models
for dealing with nonstandard and noncompliance samples, the latest
on the analysis of growth curve and longitudinal data,
specification searches, item parceling, and equivalent models. This
volume will appeal to educators, psychologists, biologists,
business professionals, medical researchers, and other social and
health scientists. It is assumed that the reader has mastered the
equivalent of a graduate-level multivariate statistics course that
included coverage of introductory SEM techniques.
This volume provides a comprehensive presentation of the various
procedures currently available for testing interaction and
nonlinear effects in structural equation modeling. By focusing on
various software applications, the reader should quickly be able to
incorporate one of the procedures into testing interaction or
nonlinear effects in their own model. Although every attempt is
made to keep mathematical details to a minimum, it is assumed that
the reader has mastered the equivalent of a graduate-level
multivariate statistics course which includes adequate coverage of
structural equation modeling. This book will be of interest to
researchers and practitioners in education and the social
sciences.
This volume provides a comprehensive presentation of the various
procedures currently available for testing interaction and
nonlinear effects in structural equation modeling. By focusing on
various software applications, the reader should quickly be able to
incorporate one of the procedures into testing interaction or
nonlinear effects in their own model. Although every attempt is
made to keep mathematical details to a minimum, it is assumed that
the reader has mastered the equivalent of a graduate-level
multivariate statistics course which includes adequate coverage of
structural equation modeling. This book will be of interest to
researchers and practitioners in education and the social
sciences.
By focusing primarily on the application of structural equation
modeling (SEM) techniques in example cases and situations, this
book provides an understanding and working knowledge of advanced
SEM techniques with a minimum of mathematical derivations. The book
was written for a broad audience crossing many disciplines, assumes
an understanding of graduate level multivariate statistics,
including an introduction to SEM.
Featuring contributions from some of the leading researchers in the field of SEM, most chapters are written by the author(s) who originally proposed the technique and/or contributed substantially to its development. Content highlights include latent variable mixture modeling, multilevel modeling, interaction modeling, models for dealing with nonstandard and noncompliance samples, the latest on the analysis of growth curve and longitudinal data, specification searches, item parceling, and equivalent models. This volume will appeal to educators, psychologists, biologists, business professionals, medical researchers, and other social and health scientists. It is assumed that the reader has mastered the equivalent of a graduate-level multivariate statistics course that included coverage of introductory SEM techniques.
|
You may like...
Stand Up Paddleboarding 2.0 - Top 101…
Howexpert, Kayla Anderson
Hardcover
R748
Discovery Miles 7 480
The Little Book Of Safari Animal Sounds
Caz Buckingham, Andrea Pinnington
Board book
(1)
Hidden Figures - The Untold Story of the…
Margot Lee Shetterly
Paperback
(2)
|