A Simple Guide to SPSS for Version 17.0 Review

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(More customer reviews)This book is so easy to use and explains everything clearly. I have another book that costs four times as much and wasn't as helpful. If you are new to SPSS or just need a refresher I highly recommend this book.

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This no-nonsense book teaches you everything you need to know about the newest version of SPSS? for Windows? so you can effectively use the program in your statistics class. The guide's simple, straightforward style frees you to concentrate on learning basic statistical concepts, while still developing familiarity with SPSS. In no time, you'll be using SPSS to do homework problems and conduct statistical analyses for research projects.

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Statistical Methods in the Atmospheric Sciences, Volume 100, Second Edition (International Geophysics) Review

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(More customer reviews)I judge the usefulness of a book by how quickly I can learn something new and apply it to the problem I am currently working on. Most statistics books, judged by this criteria, fail miserably. But here is a book that not only succeeds, but succeeds so well I actually find myself getting excited about reading the next chapter, which has nothing to do with the problem at hand! By confining himself to just a handful of simple data sets, Wilks makes it possible to work though the examples in detail and in a variety of ways. But the most important benefit to me is that I can immediately turn his examples into software code (I use IDL), which I can use to solve my problem. Unlike so many books, which provide the broad theoretical strokes, but leave the details in shadow, Wilks explains the details in simple, straightforward language. His explanation of harmonic analysis and FFT spectral analysis was so crystal clear I believe it was the first time I thought I truly understood this important concept. I can imagine there will be statisticians who will not like this book. But for those of us working with environmental data who need to know some statistics to get our work done, this book is a godsend.

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An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications (Quantitative Methodology) (Quantitative Methodology Series) Review

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(More customer reviews)This is an excellent book for anyone who wishes to not only understand the theory behind latent growth curve modeling but also seeing how it is directly applied in a number of situations. For a reader like me who depends upon the literature to help understand newer statistical approaches, a book like this is a breath of fresh air. The book presents very clearly how to set up a basic LGC model and includes other topics such as dealing with missing data, interaction effects and multilevel approaches to longitudinal data analysis. The appendix contains a number of example LGCM models in the software language of EQS, LISREL and AMOS. I most highly recommend this text for beginners and more advanced modelers alike!

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This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents the statistical basis for LGM and its various methodological extensions, including a number of practical examples of its use. It is designed to take advantage of the reader's familiarity with analysis of variance and structural equation modeling (SEM) in introducing LGM techniques. Sample data, syntax, input and output, are provided for EQS, Amos, LISREL, and Mplus on the book's CD. Throughout the book, the authors present a variety of LGM techniques that are useful for many different research designs, and numerous figures provide helpful diagrams of the examples.Updated throughout, the second edition features three new chapters–growth modeling with ordered categorical variables, growth mixture modeling, and pooled interrupted time series LGM approaches. Following a new organization, the book now covers the development of the LGM, followed by chapters on multiple-group issues (analyzing growth in multiple populations, accelerated designs, and multi-level longitudinal approaches), and then special topics such as missing data models, LGM power and Monte Carlo estimation, and latent growth interaction models. The model specifications previously included in the appendices are now available on the CD so the reader can more easily adapt the models to their own research.This practical guide is ideal for a wide range of social and behavioral researchers interested in the measurement of change over time, including social, developmental, organizational, educational, consumer, personality and clinical psychologists, sociologists, and quantitative methodologists, as well as for a text on latent variable growth curve modeling or as a supplement for a course on multivariate statistics. A prerequisite of graduate level statistics is recommended.

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Practical Statistics for Educators, 4th Edition Review

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(More customer reviews)If you've taken a stat course and need a refresher or if you're taking your first course this book is a must. Easy to read, clear instructions on how to use statistical formulas and what all the symbols mean. I wish I had gotten this book earlier. In my opinion this is the best book you can purchase as a reference or in addtion to a text. If you are totally lost about stats, buy this book.

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Practical Statistics for Educators, 4th edition focuses on the application of research and statistics as applied specifically to education. Since the first edition came out in 1994, thousand of students in educational statistics courses and their professors have found it to be an excellent textbook. Educational practitioners have also appreciated keeping this book on their reference shelf. Now in its fourth edition, this well-regarded text is a clear and easy-to-follow manual for use in introductory statistics or action research courses. Ruth Ravid concentrates on the essential concepts in educational statistics including when to use various statistical tests and how to interpret the results. Testing and test score interpretation, reliability, and validity are included to help students understand these topics which are essential for practitioners in education. Real-life examples, used generously throughout, are taken from the field of education and presented to illustrate the various concepts and terms. Chapter previews and summaries, as well as a glossary of the main terms and concepts, help readers navigate the book, focus on the most important points, and build upon the knowledge gained from each chapter.New in this edition are updated and improved graphics, revised and enhanced text, and examples. Lengthy appendixes-tables are deleted and their relevant sections are integrated into the chapters. Detailed and complicated computational steps have also been eliminated.

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Logistic Regression: A Self-Learning Text (Statistics for Biology and Health) Review

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(More customer reviews)When Kleinbaum entitles his book "a self-learning text", this is TRUE ! I'm sure anyone can learn logistic regression with this book. It is cristal-clear, very progressive, with real-data examples... If the best teachers are those who make you feel you're intelligent, certainly the author must be a good teacher... because his book is ! I do recommend it warmly to anyone who has to teach (like me) or learn logistic regression.

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This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams.Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses.The new chapters are:Additional Modeling Strategy Issues, including strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing, assessing Goodness to Fit for Logistic Regression, assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves. The Computer Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16) for procedures described in the main text.

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Doing Quantitative Research in Education with SPSS Review

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(More customer reviews)This book is a sort of hybrid, crossing a primer on basic stats with an SPSS manual. Having already had a basic introduction to research stats, I would have preferred it if the book would have dispensed with the basic stats and provided more depth and more examples in SPSS, including factor analyses and more information on general linear model calculations. That said, if you're looking for an introduction to or a refresher on research statistics including research design, validity, reliability and generalizability plus some guidance on applying this information to SPSS, this would a good choice.
The general information on statistics is nothing groundbreaking, but it is described in an informal, almost conversational tone with plenty of examples from education research. The book's strength is showing you exactly how to run each test in SPSS, including screen shots. Another plus is the guidance in interpreting SPSS output. In my experience, one of the biggest challenges in interpreting results with SPSS is that more information than you need is provided. The screen shots used in this book help to clarify by circling relevant information and discussing why it is relevant. Those who are more advanced in their understanding of statistics may find this annoying, though, because the author tends to dismiss output as "not important", when it does have an underlying purpose.
The book does lose a few points for the numerous spelling errors the editor let get through (a typical example is in the Table of contents : "Want is ANOVA?").
If you're looking for more in-depth information on research statistics that's also understandable to novices as well as those with additional experience (but no SPSS), I HIGHLY recommend "Your Statistical Consultant" by Newton & Rudestam. For SPSS, I haven't used it myself, but I have had Norusis' "SPSS Guide to Data Analysis" recommended to me by both professors and grad students.

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Doing Quantitative Research in Education with SPSS, Second Edition, an accessible and authoritative introduction, is essential for education students and researchers needing to use quantitative methods for the first time.




Using datasets from real-life educational research and avoiding the use of mathematical formulae, the author guides students through the essential techniques that they will need to know, explaining each procedure using the latest version of SPSS. The datasets can also be downloaded from the book's website, enabling students to practice the techniques for themselves.



This revised and updated second edition now also includes more advanced methods such as log linear analysis, logistic regression, and canonical correlation.



Written specifically for those with no prior experience of quantitative research, this book is ideal for education students and researchers in this field.

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Statistics: Methods and Applications Review

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(More customer reviews)I understand basic statistics and some of the more specialised areas like design of experiments and quality techniques pretty well. This volume has proved invaluable when trying to understand those areas I'm not familiar with such as PLS and non-parametric statistics. It provides well-written overviews of topics plus back-up theory for those who need to appreciate the mathematics in more detail. A powerful aid to understanding when using a propritary statistics package.

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A comprehensive textbook on statistics written for both novices and advanced analysts.This - one of a kind - book offers a comprehensive, almost encyclopedic presentation of statistical methods and analytic approaches used in science, industry, business, and data mining, written from the perspective of the real-life practitioner ("consumer") of these methods.The primary emphasis is on applications rather than theoretical derivations and formulas.The authors, experienced researchers, draw on their diverse experiences as teachers of quantitative methods at the graduate and undergraduate levels with extensive, real-life consulting expertise (they have been involved in hundreds of projects in various areas of science, business, and industry, on all continents).History of this book.The earlier editions of this unique book were available for over 10 years on the Internet, where it has earned praise from thousands of readers and benefited from their comments, questions, and requests for coverage of specific topics.The electronic version of this textbook has also won the prestigious distinction of becoming the only Internet resource on statistics and data analysis recommended by Encyclopedia Britannica.From a "Novice" to Advanced Analyst. This book was written without assuming that the reader has any prior knowledge of statistics.Instead, it successfully guides the reader all the way from the basic foundations of statistical reasoning, to the most advanced, cutting-edge methods.It includes hundreds of examples and thousands of illustrations created with leading edge data visualization and data mining software.This unusually comprehensive book includes also chapters on industrial statistics, on the emerging areas of predictive analytics, data mining and text mining, and a 200-page, illustrated Glossary of statistical terms.Electronic (CD) version.A coupon in the book entitles the reader to receive a CD with the electronic, hypertext version, which includes color graphics and animations.

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