Book Description
- SPSS (Statistical Package for the Social Sciences) is a data management and analysis software that allows users to generate solid, decision-making results by performing statistical analysis
- This book provides just the information needed: installing the software, entering data, setting up calculations, and analyzing data
- Covers computing cross tabulation, frequencies, descriptive ratios, means, bivariate and partial correlations, linear regression, and much more
- Explains how to output information into striking charts and graphs
- For ambitious users, also covers how to program SPSS to take their statistical analysis to the next level
Customer Reviews:
waste of money.......2007-10-08
WASTE of money, nothing else to say except can I have my money back? The star is a mistake:it get's negative 5 stars.
Important Source For Journalists.......2007-01-15
As a business magazine editor I find we frequently have to evaluate statistical material. My writers are not uniformly prepared in statistical analysis. They don't have to be. Basic Statistical Analysis (8th Edition) is more than a textbook. We use Dr. Sprinthall's book as our interpreter. We find it authoritative but more importantly, accessible. The author is an effective communicator who allows us to understand the techniques we need without the eye glazing numbness of having to enter a world of baffling jargon, impenetrable examples, and little Greek letters lying on their sides waiting to bite us. I am glad we came upon his works.
By the way, you definitely DO NOT need to be a math major to understand what Sprinthall's up to in this book. I recommend this edition of Statistical Analysis particularly to business and political writers along with every newsroom in the world. Anyone who is wrestling with assertions which are purported to be "proven" by an accompanying body of statistiical "evidence" should have this book on their shelves. Think of it as self-defense.
Basis Statistical Analysis.......2007-01-04
Easy to read but is not a book for non math students. If you don't desire to have a good foundation behind the mathematics and just want formulas with examples, this book is for you.
Basic Statistical Analysis.......2005-09-30
This book is great! It breaks down statistics step by step. I highly reccomend it
Great Textbook.......2005-08-31
This is a great textbook for those who do not really understand statistics, but want to learn. It is easy to read and follow along with.
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.
Average customer rating:
- If really interested in SEM, do not buy this book.
- great book for those who find McArdle/Loehlin tough reading
- Whatta book!
- simple and useful for beginners
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Basics of Structural Equation Modeling
Geoffrey M. Maruyama
Manufacturer: Sage Publications, Inc
ProductGroup: Book
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Similar Items:
-
Principles and Practice of Structural Equation Modeling, Second Edition (Methodology In The Social Sciences)
-
Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (Multivariate Applications Series)
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A Beginner's Guide to Structural Equation Modeling
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Structural Equation Modeling: Concepts, Issues, and Applications
-
Structural Equations with Latent Variables
ASIN: 0803974094 |
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.
Book Description
Mathcad: A Tool for Engineering Problem Solving explains how to use Mathcad 7 (Student and Standard), which is the latest release of the most popular calculation software in the world. It is intended as a supplementary textbook for use in introductory engineering courses but will also, especially in later chapters, be of interest to more advanced students and to practicing engineers. The book has a practical orientation, with many real-world engineering examples used to illustrate the power of Mathcad in solving problems. There are separate chapters on Mathcad fundamentals, graphing data, integration and differentiation (both numeric and symbolic), solving one or more algebraic equations (including non-linear), linear algebra, solving ordinary differential equations (first order or higher, as well as sets of equations), and statistics. In addition, in a final chapter some more advanced features such as Laplace transforms and complex analysis are introduced to show Mathcad's computational power, and Mathcad's integration with World Wide Web is described. There are a large number of exercises throughout the book, with answers provided for many.
Customer Reviews:
Tough Problems and wordiness..........2001-05-17
To do some of the problems in this book you have to know a lot of physics and math. Not good for a lower level course in Engineering. I recently used this book in a semester long course and found that the author overused adjectives, and details to make things far too complicated. However on the bright side the book is very informative, good for a reference to MATHCAD.
Pretty good book.......2000-06-22
Well, this book is good in a sense that it provides you with exercises that you could work on. But it is kind of wordy, make my eyes go hay wire. Overall, it is a good reference book.
Book Description
The last two decades have seen structural equation modeling (SEM) emerge as a powerful data analysis tool for research in the social sciences, education, and psychology. With the advent of SEM computer programs such as LISREL and EQS, SEM has become a well-established and respected methodology. This book provides an introduction to the subject suitable for beginning graduate students. Its focus is on the basic concepts and applications of SEM within the social and behavioral sciences. The author develops SEM techniques by presenting linear regression, path analysis, confirmatory factor analysis, and then more general structural equation models. In doing so, he is able both to explain clearly the underlying statistical methodology in SEM whilst at the same time illustrate the use of SEM to analyse real data sets drawn from a number of different settings in the behavioral and social sciences.
Book Description
"The strongest attribute of Barbara M. Byrne’s book is her superb organization both across chapters and within chapters. . . . Aside from the logical layout of chapters, a great deal of helpful organization exists on many other levels. After making readers comfortable with the details of the input and output files, Byrne gradually weans us away from the masses of information that would otherwise be redundant; she does, however, remind us of key points from time to time, almost anticipating readers’ questions. . . . Organization within chapters is also quite sound. . . . Her EQS input files are neatly structured so that indicators of a common factor are indented to the same degree. . . . All application chapters nicely conclude with references to other examples of the application under study. . . . As should be obvious by now, I was fairly pleased with what I found in Byrne’s book. . . . As the book unfolds she does a nice job of addressing many topics within the context of her applications. . . . It has strong value as a tool for teachers and practitioners."
--Gregory R. Hancock in Structural Equation Modeling
"Several features of the illustrations will be beneficial to SEM novices. The EQS programming and interpretation are presented clearly and in detail so that readers should have little trouble applying the concepts in their own research. An especially nice feature is that, as is usual with ''real'' data, things ''go wrong.'' . . . Seeing realistic rather than idealistic applications is good preparation for practicing and interpreting SEM. . . . The major benefit of the books to experienced modelers who are new to EQS is the convenience of having detailed examples to follow. None of Barbara M. Byrne’s applications involve ''tricks'' or steps that would not be clear from the EQS and EQS/Windows manuals. . . . Byrne’s step-by-step detail and integrated discussion of data screening and model respecification can reduce the time spent fixing minor errors in program setups or searching through the manuals for desired options. . . . The book is a fine production. . . . Newcomers to SEM who want to use EQS or EQS/Windows would benefit greatly from this book, either for self-teaching or as a supplemental text in a course. Experienced modelers will benefit less, but spending a few hours with the book will move them well along the EQS learning curve. Byrne intends her books ''to provide a practical guide to SEM using the EQS approach.'' She succeeds admirably."
--George R. Franke in Journal of Marketing Research
"For each chapter, the author has been very successful in conveying complicated concepts involved in structural equation modeling with explanations that are easy to understand for users with little background in SEM. The examples used in this book represent a broad range of research topics in the area of SEM. The author also provides precise linkage between the null hypothesis to be tested, the specific setup of EQS programs, and clear explanations of the results. Beginners of SEM can benefit substantially from this down-to-earth approach."
--Chih-Ping Chou, University of Southern California
"Byrne’s book is a delightfully written, systematic approach to the practical use of structural equation modeling in research. It begins with first principles and advances systematically through intermediate and advanced topics, introducing at each step the theory that is relevant as well as the practical models needed to implement these ideas on real models used in actual research contexts. The reader can then easily modify the examples for their own research since the types of models discussed will be relevant in many research contexts. Mathematical and statistical details are minimized so that the book should appeal to a broad audience. The book is also timely, being the first text to show how statistics generally, and modeling in particular, can be fun in the Windows environment."
--Peter M. Bentler,
University of California, Los Angeles
Researchers and students who want a less technical alternative to the EQS manual will find exactly what they’re looking for in this practical volume. Designed to help beginners estimate and test structural equation modeling (SEM) using the EQS approach, this practical volume clearly explains and demonstrates a wide variety of SEM/EQS applications that include both partial factor analytic and full latent variable models. Beginning with an overview of the basic concepts of SEM and the EQS program, the author carefully works through applications starting with the easiest, a single sample approach, through to more advanced applications, such as a multi-sample approach. The book concludes with a section on using EQS for modeling with Windows.
Customer Reviews:
Clear Explanations of Complex Material.......2001-04-02
Barbara Byrne manages to make a very complicated topic seem manageable and understandable. This book is ideal for people familiar with the basics of psychology statistics, but relatively new at structural equation modeling. My only complaints are that the index is a bit sparse, so I found myself thumbing through the book frequently; and sometimes the details of how to apply the concepts directly to EQS commands were left a bit unclear. However, overall this was an excellent starter book for structural equation newbies!
Average customer rating:
- Structural Equation Modeling With Eqs: Basic Concepts, Applications, And Programming (Multivariate Applications) (Multivariate A
- easy graphical input
|
Structural Equation Modeling With Eqs: Basic Concepts, Applications, And Programming (Multivariate Applications) (Multivariate Applications)
Barbara Byrne
Manufacturer: Lawrence Erlbaum Associates
ProductGroup: Book
Binding: Paperback
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Similar Items:
-
Principles and Practice of Structural Equation Modeling, Second Edition (Methodology In The Social Sciences)
-
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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A First Course in Structural Equation Modeling
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Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis (Latent Variable Models: An Introduction to)
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An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications (Quantitative Methodology) (Quantitative Methodology Series)
ASIN: 0805841261 |
Product Description
Researchers and students who want a less mathematical alternative to the EQS manual will find exactly what they're looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS, the author's goal is to provide a non-mathematical introduction to the basic concepts of SEM by applying these principles to EQS, Version 6.1. The book clearly demonstrates a wide variety of SEM/EQS applications that include confirmatory factor analytic and full latent variable models. Analyses are based on a wide variety of data representing single and multiple-group models; these include data that are normal/non-normal, complete/incomplete, and continuous/categorical. Written in a "user-friendly" style, the author "walks" the reader through the varied steps involved in the process of testing SEM models. These include model specification and estimation, assessment of model fit, description of EQS output, and interpretation of findings. Each of the book's applications is accompanied by: a statement of the hypothesis being tested, a schematic representation of the model, explanations and interpretations of the related EQS input and output files, tips on how to use the associated pull-down menus and icons, and the data file upon which the application is based. Beginning with an overview of the basic concepts of SEM and the EQS program, the book carefully works through applications starting with relatively simple single group analyses, through to more advanced applications, such as a multi-group, latent growth curve, and multilevel modeling. The new edition features: many new applications that include a latent growth curve model, a multilevel model, a second-order model based on categorical data, a missing data multigroup model based on the EM algorithm, and the testing for latent mean differences related to a higher-order model; a CD enclosed with the book that includes all application data; vignettes illustrating procedural and/or data management tasks using a Windows interface; description of how to build models both interactively using the BUILDULEQ interface and graphically using the EQS Diagrammer.
Customer Reviews:
Structural Equation Modeling With Eqs: Basic Concepts, Applications, And Programming (Multivariate Applications) (Multivariate A.......2007-01-09
The book is here and came in quickly.
easy graphical input .......2006-07-18
Byrne offers a more readable alternative to the hard core approach of learning EQS from its official manual. The latter presents a heavily mathematical framework that might be offputting to some readers who lack a strong statistical background.
Instead, her book goes through much of what EQS can do for you. But at a gentler pace. Giving a brief walkthrough of multivariate statistical modelling. The book starts off explaining the format of the EQS input file. It uses a graphical approach similar to what electrical engineers have for laying out circuits. More intuitive for the user. Where you can draw regressions paths from one component in the diagram to other components, for example. This is reminiscent of how SPICE went from a text input file that described a circuit to a graphical approach that was far easier to understand.
Much of the book then goes into how you can test for causality in your model. EQS has formidable abilities to do so, and you need to master how to control these.
Book Description
Doing statistics in JMP has never been easier! Learn how to manage JMP data and perform the statistical analyses most commonly used in research in the social sciences and other fields with JMP for Basic Univariate and Multivariate Statistics: A Step-by-Step Guide. Clearly written instructions guide you through the basic concepts of research and data analysis, enabling you to easily perform statistical analyses and solve problems in real-world research. Step by step, you'll discover how to obtain descriptive and inferential statistics, summarize results, perform a wide range of JMP analyses, interpret the results, and more. Topics include: screening data for errors and selecting subsets with the JMP Distribution platform, computing the coefficient alpha reliability index (Cronbach's alpha) for a multiple-item scale, performing bivariate anlayses for all types of variables, performing a one-way analysis of variance (ANOVA), performing a multiple regression, and using the JMP Fit Model platform to perform a one-way multivariate analysis of variance (MANOVA). This user-friendly book introduces researchers and students of the social sciences to JMP and to elementary statistical procedures, while more advanced statistical procedures that are presented make it an invaluable reference guide for experienced researchers as well.
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Statistics for Dummies
SPSS for Windows Step-by-Step: A Simple Guide and Reference, 14.0 update (7th Edition)
Intermediate Statistics For Dummies (For Dummies (Math & Science))
SPSS Survival Manual
SPSS 15.0 Guide to Data Analysis
