Book Description
This popular text provides an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM). Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM. The companion Web page offers data and program syntax files for many of the research examples, electronic overheads that can be downloaded and printed by instructors or students, and links to SEM-related resources.
Customer Reviews:
Excellent introduction to SEM.......2007-01-10
Kline's book provides a very readable introduction to and explanation of structural equation modeling. The book does not include statistical proofs, so it would not serve well as an advanced text. But if you are looking for a book that explains what SEM is and how it fits within the larger framework of inferential statistics, I recommend it.
Book Description
Packed with concrete examples, Hatcher's book provides an introduction to more advanced statistical procedures and includes handy appendices that give basic instruction in using the SAS System. Novice SAS users will find all they need to master SAS basics and move into advanced statistical analyses in this one book. Featured is a simple, step-by-step approach to testing structural equation models with latent variables using the CALIS procedure. The following topics are explained in easy-to-understand terms: exploratory factor analysis, principal component analysis, and developing measurement models with confirmatory factor analysis. Other covered topics of note include "LISREL-type" analyses with the user-friendly PROC CALIS and solving problems encountered in real-world social science research.
Supports releases 6.09 and higher of SAS software.
Customer Reviews:
Very Good .......2007-08-06
More detailed explanation of every subject discussed. Nothing was assummed. The appendix include vital information for new SAS users.
Absolutely outstanding.......2007-05-23
This is the single best statistics text I've ever read. It's extremely easy to follow, very practical, and gives outstanding examples. Everything is so clearly described in the book that one might call it Factor analysis and SEM for Dummies. I only wish that the book covered nonrecursive SEM models.
Easy to read.......2006-11-03
Very easy to read. Examples are simple and effective. The book explains the statistical concepts as well as the SAS programming tricks. In fact, the book provides complete code - you will be able to get good amount of analysis done just by copying that code. However, you also need to buy the "The Little SAS Book" if you never used SAS before.
Excellent book.......2003-05-01
This outstanding book was one of the mainstays for my Ph.D. dissertation. It explain factor analysis and SEM techniques in a clear and effective way, with an hands-on approach that guides the reader during all the data analysis and result interpretation phases.
Thank goodness for this book.......2002-10-21
I really needed this for my dissertation. As a computer scientist who is using statistically-based data mining techniques in my PhD dissertation, I needed a good "Quick Course" in factor analysis. More important than just "what is factor analysis", I needed to know how to implement my ideas in SAS. This book did the trick. Now let's hope my advisors think so. :)
Book Description
This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM). This goal is achieved by: 1) presenting a nonmathematical introduction to the basic concepts and applications of structural equation modeling; 2) demonstrating basic applications of SEM using AMOS 4.0; and 3) highlighting features of AMOS 4.0 that address important caveats related to SEM analyses.
Written in a "user-friendly" style, the author "walks" the reader through 10 SEM applications from model specification to estimation to the assessment and interpretation of the output. Each of the book's applications is accompanied by:
*a statement of the hypothesis being tested;
*a schematic representation of the model under study;
*the use and function of a wide variety of icons and pull-down menus;
*a full explanation of related AMOS Graphic input models and output files;
*a model input file based on AMOS BASIC; and
*the published reference from which each application was drawn.
Customer Reviews:
Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (Multivariate Applications Series).......2007-02-21
Great book, easy to read. It goes well as a companion book about SEM with a more mathematically heavy text. The author makes using AMOS easy! I've already shown my Professor something about AMOS he didn't know!
Great Resource.......2006-01-29
If you are looking for a good resource on learning how to use AMOS for structural equation modeling, this is definitely the book. It is easy to understand and well laid out. Well recommended, especially for teaching SEM to students.
wonderful if familiar w/stats + new to sem.......2001-08-07
This book is a wonderful guide to understanding a good range of basics about sem, getting models to work with Amos, and interpreting your output. You will need to be familiar with one of the stats packages that Amos is compatible with. Very much user-friendly in this complicated topic. All of the statistically-related and theory-related aspects are well-referenced, so you can find sources to reference for different aspects of sem. A great book to fill the gap between the Amos user's manual and books on sem in general. (contact Erlbaum about educ pricng.)
Book Description
This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic concepts associated with SEM, (b) to demonstrate basic applications of SEM using both the DOS and Windows versions of LISREL 8, as well as both the LISREL and SIMPLIS lexicons, and (c) to highlight particular features of the LISREL 8 and PRELIS 2 progams that address important caveats related to SEM analyses.
This book is intended neither as a text on the topic of SEM, nor as a comprehensive review of the many statistical funcitons available in the LISREL 8 and PRELIS 2 programs. Rather, the intent is to provide a practical guide to SEM using the LISREL approach. As such, the reader is "walked through" a diversity of SEM applications that include both factor analytic and full latent variable models, as well as a variety of data management procedures.
Customer Reviews:
Structural Equation Modeling With Lisrel, Prelis, and Simpli.......2000-05-05
Offer different softwares(LISREL8, PRELIS2,SIMPLIS) and cover single, multiple groups analyses and provide MTMM model, I thought Dr. Byrne's book one of the most useful resource to apply structural equation model for social science research.
Book Description
This revised edition is intended to give students and researchers a basic understanding of SEM, focusing on the conceptual steps one takes in analyzing theoretical models. SEM is useful in statistical methods courses in social science, education, busines
Customer Reviews:
Good Basic Guide.......2006-03-03
This book lays out the basics of SEM in an understandable way. Doesn't address EVERY issue, but then again it's very accessible and application-oriented, with language not too highly techinical (in relation to other SEM texts).
easy to follow.......2005-07-08
This is quite easy to follow for beginners but you def. need a good stats background to do so!
Easy to read and understand; needs a second edition.......2004-10-04
No one expects statistics to be easy reading, especially when it concerns complicated models such as structural equation modeling (SEM). Nevertheless, this book manages to do just that.
Schumacker and Lomax have successfully put together a guide that explains to beginners (like myself) in simple terms how the whole thing works. As with most books that treat complex models, some basic knowledge of statistics is preferable before you begin to read it. But if your statistics is rusty and you have only vague impressions of probability sketches in your memory, fear not! Schumacker and Lomax are kind to us poor souls, and begin by introducing some basics in chapter 1 to prod your memory: terminology, variable scales, how to treat missing data, outliers and normality. And in chapter 2, they discuss correlation and covariance.
Before talking about structural equation models, Schumacker and Lomax dedicate chapter 3 to a number of statistical methods on which SEM is built. This chapter gives a basic overview of regression, path analysis and factor analysis. The review of these methods helps you to understand SEM better later on. They also provide an excellent understanding of the methods, in case you have not used them before or it's been a while ...
The rest of the guide covers SEM: how to develop and measure a model (chapters 4 and 5), how the model parameters are estimated and how you can check for reliability and validity (chapter 6), and checking for goodness of fit of your model (chapter 7).
In chapter 8, you are shown some examples of computer outputs by two software packages that can conduct SEM, EQS5 and LISREL8-SIMPLIS.
Chapter 9 goes into more detail on models and diagrams (regression, analysis of covariance, path, measurement and structural models). For those that feel by this point that they've gained enough experience, advanced topics such as cross validation, simulation, bootstrap and jacknife methods as well as multiple same and interaction models are covered in chapter 10. And for the super-keen, the technical bits are covered in chapter 11 (health warning: you better be up to speed on matrix algebra).
The great thing about this book is that you most likely will be able to run models and interpret results by chapter 7, and you don't need to go into the nitty-gritty if you don't want to. On the other hand, the details are there if you need them. In essence, the authors start at the beginning, building up slowly until you are able to handle a basic model, before going into more complex issues.
One drawback, I have found, is that this book was published in 1996. That's nearly a decade ago, and (fortunately) computer power and statistical modeling has come a long way since then. The authors, for example, are convinced that WordPerfect is the software of choice for word processing and that at some point in the future it would be possible to copy and paste diagrams into a word processing program. We've come a long way since then. Today, many SEM packages exist that are much more user friendly than some of the older stodgy packages that require you to enter data in a very specific way and interpret results by going through reams of data output. As such, the authors (or publishers) probably ought to update it with a second edition.
Nevertheless, the strength of the book lies in its guidance and explanatory power. And even if you use a different package, you can skim through the data outputs they use, and focus on your model, how to construct it, and of what pitfalls to beware.
I highly recommend this for anyone starting on SEM - your modeling days will be much happier with this guide.
Good for a first course........2002-04-03
Schumacker and Lomax make for a good first course in SEM. Although they are somewhat less technical than Bollen (1989), they are a little more up-to-date, and very good reading for a beginning student of SEM. I found the sections on confirmatory factor analysis and identification very useful.
A very good book.......1999-09-03
This is a very good book about SEM for the beginners and advanced. The book gives a clear and concise principles and examples about SEM. This book definitely enables the readers clearly understand the subject.
Book Description
This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable modeling, the authors clearly explain and contrast a wide range of estimation and prediction methods from biostatistics, psychometrics, econometrics, and statistics. They present exciting and realistic applications that demonstrate how researchers can use latent variable modeling to solve concrete problems in areas as diverse as medicine, economics, and psychology. The examples considered include many nonstandard response types, such as ordinal, nominal, count, and survival data. Joint modeling of mixed responses, such as survival and longitudinal data, is also illustrated. Numerous displays, figures, and graphs make the text vivid and easy to read. About the authors: Anders Skrondal is Professor and Chair in Social Statistics, Department of Statistics, London School of Economics, UK Sophia Rabe-Hesketh is a Professor of Educational Statistics at the Graduate School of Education and Graduate Group in Biostatistics, University of California, Berkeley, USA. Features · Unifies different modeling traditions, integrating and synthesizing models from the statistical, biostatistical, econometric, and psychometric literatures · Gives a thorough overview of estimation and prediction methods for latent variable models, providing a guide to the various techniques available · Applies to a wide range of disciplines, including medicine, biology, sociology, psychology, and economics · Contains many examples worked out in great detail · Provides software, datasets, and scripts for some of the applications discussed at www.gllamm.org/books
Customer Reviews:
Unifying, but conceptually challenging.......2007-07-05
The authors have provided a wonderful resource that brings different statistical methods developed in parallel disciplines under one cover. It does, however, present challenging material and is not for the faint of heart. For statisticians or quantitative social/behavioral scientists, this book is an enlightening addition to one's library.
Comprehensive coverage.......2007-03-26
This book provides well-written, comprehensive coverage of latent variable modeling. Suitable for a masters level (or preferably, a Ph.D.) statistician. Not suitable for someone with a few intro stat courses. Presents multilevel, longitudinal and structural equation modeling and factor analysis using a unified framework, which is both a help (better insights, easier to extend conceptually) and a hindrance (complex when one first tries to understand it). Includes many examples, which makes it much easier to apply these techniques to real life data analysis problems. Practically an encyclopedia of statistical models.
Book Description
A highly readable introduction,
Using LISREL for Structural Equation Modeling is for researchers and graduate students in the social sciences who require structural equation modeling techniques to answer substantive research questions. Author E. Kevin Kelloway provides an overview of structural equation modeling including the theory and logic of structural equation models (SEMs), assessing the "fit" of SEMs to the data, and implementation of SEMs in the LISREL environment. Specific applications of SEMs are considered including confirmatory factor analysis, observed variable path analysis, and latent variable path analysis. A sample application including the source code, printout, and results section is presented for each type of analysis. Tricks of the trade for structural equation modeling are presented including the use of single indicator latent variable and reducing the cognitive complexity of models.
Customer Reviews:
Good but intorductory overview.......2001-05-16
This is a good beginner's guide to SEM and LISREL. The author explains the concepts in a very understandable manner. Although I bought this book two years back, I still refer back to it occasionally. I would highly recommend this to someone who is just starting out with SEM. But more advanced users will be a little disappointed because it stops at the basics. Two notes of warning are in order: (1) this book does NOT discuss the visual interface that LISREL now has, and (2) SPSS now supports AMOS and has dropped LISREL support.
Not just about LISREL.......1999-05-25
In teaching structural equation modeling in a doctoral-level graduate class, I found Kelloway's book one of the most useful resources. Despite its title, the book is not only about LISREL. The initial chapters provide an excellent overview of the science (and art) of structural equation modeling. Kelloway provides probably a better summary than most other books on the topic.
A worthy guide to non-specialists.......1999-02-20
If your goal is to use LISREL and apply structural equation modeling to your own work, this is the book for you. Goes over the model and the software in enough detail to handle most of the problems my stats students see, and is clearly written and easy to follow.
Average customer rating:
- Bible
- A must source for structural engineers
- Very Practical and Useful Book
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Tall Building Structures: Analysis and Design
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ASIN: 0070629145 |
Book Description
Thoroughly updated, this superbly illustrated handbook provides a uniquely practical perspective on all aspects of steel, concrete, and composite use in the design of tall buildings. It alerts professionals to the latest codes and ANSI standards and includes dozens of case studies of important buildings throughout the world, providing in-depth insight into why and how specific structural system choices were made. It also discusses recent studies of seismic vulnerability. . .the effect of wind and seismic forces on design decisions. . .the use of lateral bracing concepts and gravity-based systems. . .computer modeling techniques that forecast the response of buildings to various forces. . .and much more.
Customer Reviews:
Bible.......2007-03-10
This book is the bible of structural engineering of tall buildings. Every designer should read it and every time you want to design a tower, you should use it. Thanks for hectic effort Prof. Taranth provided to help the structural engineers.
A must source for structural engineers.......2003-04-12
This is a great analysis and design book in tall buildings. You will find plenty of examples and discussions. Although the book does not get deep into some of the advanced topics, it is still a great source for structural engineers.
Very Practical and Useful Book.......2001-12-07
It is a very practical book containg material which will be useful to those engaged in the design of tall buildings. The unique thing about this book is the fact Taranath has given details of many important tall buildings,which will guide us before choosing a framework for the new building. He also explains how a structural system can be chosen. It has numerous practical examples. The code clauses are clearly explained.The Design for Wind and Earthquake are given in a nice manner with reference to latest codes of practices.His explanations are very easy to understand. Lateral and gravity systems for steel,concrete and composite constructions are given with numerous drawings in seperate chapters. Analysis techniques are given in an easy to understand fashion with less mathematical complexity. Design methods are also given. Discussion on related items such as damping and cladding systems,Foundation design,seismic design of Diaphragm ,etc. are also included. The data on Structural quantities will be a boon to those who want to have a preliminary estimate of the building, they are going to design. In all, it is a book worth buying and will serve as a reference for a long time. With this book and a proper software, we can design any tall building with ease.
Book Description
In this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. For ease of understanding, the few mathematical formulas presented are used in a conceptual or illustrative nature, rather than a computational one. Featuring examples from EQS, LISREL, and Mplus, A First Course in Structural Equation Modeling is an excellent beginner’s guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. The basic ideas and methods for conducting SEM are independent of any particular software.
Highlights of the second edition include:
* review of latent change (growth) analysis models at an introductory level;
*coverage of the popular Mplus program;
*updated examples of LISREL and EQS; and
*a CD that contains all of the text’s LISREL, EQS, and Mplus examples.
A First Course in Structural Equation Modeling is intended as an introductory book for students and researchers in psychology, education, business, medicine, and other applied social, behavioral, and health sciences with limited or no previous exposure to SEM. A prerequisite of basic statistics through regression analysis is recommended. The book frequently draws parallels between SEM and regression, making this prior knowledge helpful.
Customer Reviews:
good guide.......2007-04-25
easy to understand and follow. only book i've seen that describes using MPlus software. Wish authors would write a Second Course in SEM and use more complex, realistic examples.
Book Description
With the availability of software programs such as LISREL, EQS, and AMOS modeling techniques have become a popular tool for formalized presentation of the hypothesized relationships underlying correlational research and for testing the plausibility of hypothesizing for a particular data set. The popularity of these techniques, however, has often led to misunderstandings of them, particularly by students being exposed to them for the first time. Through the use of careful narrative explanation, Basics of Structural Equation Modeling describes the logic underlying structural equation modeling (SEM) approaches, describes how SEM approaches relate to techniques like regression and factor analysis, analyzes the strengths and shortcomings of SEM as compared to alternative methodologies, and explores the various methodologies for analyzing structural equation data.
Customer Reviews:
If really interested in SEM, do not buy this book........2003-05-09
I have just browsed through "Basics of Structural Equation Modeling." Quite frankly, I am very disappointed. The title implies the book is concerned with SEM; however, SEM is actually addressed from Chapter 8 on, as explicitly stated by the author in the first paragraph on page 178: "This chapter presents the basics of latent variable SEM." Pages 29-173 (61% of the book) is spent addressing path analysis, with one chapter addressing factor analysis. Pages 177-270 (39% of the book) is spent addressing SEM. If I had wanted to buy a book on path analysis, I would have bought a book on path analysis!
great book for those who find McArdle/Loehlin tough reading.......2003-04-22
I'm a doctoral student in a longitudinal data analysis class and have really appreciated this book. I don't have the extensive stats background of some of my peers, and this book is very helpful as it explains matrix algebra, latent variable SEM etc. in a way I can understand. If you are struggling with reading the "classics" in this field, you want this book. (Of course, you do need some background in stats...at least thru multiple regression. It doesn't make SEM so easy that you don't need that!)
Whatta book!.......2000-06-27
I'm working on my Ph.D. using SEM. This book was very, very helpful. In fact out of about 20 books that I used, this was the most simple and easy to understand.
Buy it!
simple and useful for beginners.......2000-05-17
It treats concepts that are usually quite hard to understand in a simple manner. Especially useful if you have some minimal background knowledge of: causal modeling, regression and factor analytic techniques. Otherwise, you risk to slide over some chapters without getting everything... Those who plan to use LISREL will have an advantage, since most examples are done with this software (but with Amos it shouldn't pose a problem to translate). Still, very worth.
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Structural Equation Modeling with Amos: Basic Concepts, Applications, and Programming (Multivariate Applications Series)
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Structural Equation Modeling: A Second Course (Quantitative Methods in Education and the Behavioral Sciences) (Quantitative Methods in Education and the Behavioral Sciences)
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