An Intermediate Guide to SPSS Programming: Using Syntax for Data Management introduces the major tasks of data management and presents solutions using SPSS syntax. This book fills an important gap in the education of many students and researchers, whose coursework has left them unprepared for the data management issues that confront them when they begin to do independent research. It also serves as an introduction to SPSS programming. All the basic features of SPSS syntax are illustrated, as are many intermediate and advanced topics such as using vectors and loops, reading complex data files, and using the SPSS macro language.
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Editorial Reviews
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“The book makes a distinct and important contribution to the field by focusing on an important set of skills that is often only briefly touched upon (if at all) in courses or texts. SPSS users benefit from having solid familiarity with syntax coding in addition to being able to use the pull-down menus. A careful study of this book will help readers advance these important skills.” (Eric Einspruch )
"Where was this manual when I was trying to learn SPSS for my dissertation after switching from MiniTab? It would have been a valuable tool to save enormous amounts of time. It is succinct and to the point." (Wanda J. Long )
"Where was this manual when I was trying to learn SPSS for my dissertation after switching from MiniTab? It would have been a valuable tool to save enormous amounts of time. It is succinct and to the point." (Wanda J. Long )
About the Author
Sarah Boslaugh, Ph.D. has more than 20 years of experience working in data management and statistical analysis. She has worked as an SPSS programmer in many different settings in the public and private spheres, including academia, health care, government, and the insurance industry. Dr. Boslaugh received her Ph.D. in research methods and evaluation from the City University of New York and is currently a Senior Statistical Data Analyst at the Washington University School of Medicine in St. Louis. Her research interests include multilevel modeling, geographic information systems, and measurement theory.
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Most Helpful Customer Reviews
2 of 2 people found the following review helpful:
2.0 out of 5 stars
Leaves a whole lot to be desired,
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Amazon Verified Purchase(What's this?)
This review is from: An Intermediate Guide to SPSS Programming: Using Syntax for Data Management (Paperback)
Less than adequate. You can learn a few things from this book, but the design really didn't offer me enough examples and applications of command syntax. Anyone who wants to see how this book should be written needs to take a look at the format offered in "The Little Blue SAS Book". I guess it spoiled me from any future computer user guides. In addition, the Syntax manual (PDF) that comes with SPSS offers a searchable guide that can give you everything this book offers in no time at all.
1 of 1 people found the following review helpful:
4.0 out of 5 stars
Intermediate SPSS,
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Amazon Verified Purchase(What's this?)
This review is from: An Intermediate Guide to SPSS Programming: Using Syntax for Data Management (Paperback)
This book is actually just what I was looking for. There are hundreds of introductory or comprehensive texts on SPSS, but this book fills a niche that others don't. I have a basic understanding of data analysis and data analysis software. I needed the next step. My only criticism is that it isn't longer and more complete. However, many of the questions I have relevant to the next level of SPSS facility I can take to the people I work with. I really recommend this book for people who need to go to the next level.
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Inside This Book
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First Sentence:
SPSS is a statistical analysis package produced and sold by the multinational company SPSS Inc. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
short string variables, multivariate file, syntax reference guide, string variables cannot, reading raw data, syntax file, scratch variables, cumulative variable, macro call, macro body, syntax window, frequencies command, portable files, active file, substring function, numeric variables, following syntax, variable formats, numeric operations, journal file, target file, value labels, variable labels, date variable, dictionary information Key Phrases - Capitalized Phrases (CAPs): (learn more)
Syntax Reference Guide, Data Editor, Other Topics, Draft Viewer, Central High, Restructuring Files, Brief Introduction, Time Series, Microsoft Excel, Univariate Data File New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
SPSS is a statistical analysis package produced and sold by the multinational company SPSS Inc. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
short string variables, multivariate file, syntax reference guide, string variables cannot, reading raw data, syntax file, scratch variables, cumulative variable, macro call, macro body, syntax window, frequencies command, portable files, active file, substring function, numeric variables, following syntax, variable formats, numeric operations, journal file, target file, value labels, variable labels, date variable, dictionary information Key Phrases - Capitalized Phrases (CAPs): (learn more)
Syntax Reference Guide, Data Editor, Other Topics, Draft Viewer, Central High, Restructuring Files, Brief Introduction, Time Series, Microsoft Excel, Univariate Data File New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Citations (learn more)
This book cites 4
books:
- Using Multivariate Statistics (5th Edition) by Barbara G. Tabachnick on page 82, and page 224
- Learning Computer Programming (With CD-ROM; CyberRookies Series) by Mary E. Farrell on page 224
- Statistical Analysis with Missing Data, Second Edition by Roderick J. A. Little on page 119
- Statistical Package for the Social Sciences by N.H. Nie on page 3
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