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How To Use Spss Syntax

Author: Manfred te Grotenhuis
Publisher: SAGE Publications
ISBN: 1483347087
Size: 25.54 MB
Format: PDF, Kindle
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Rather than focusing on SPSS menus and the graphic user interface, How to Use SPSS Syntax, by Manfred te Grotenhuis and Chris Visscher, focuses on the syntax rules in SPSS, a more encompassing approach that allows readers to replicate statistical analyses by storing them in a file for future use. Practical, accessible, and highly focused, the book is brief, while still helping readers develop an in-depth understanding of the common syntax rules and commands. In every chapter, the authors clearly explain the syntax, show the main results, and include social science research examples and downloadable files that allow readers to follow along. Checks throughout the book help readers determine whether the syntax is used correctly.

Intermediate Statistics Using Spss

Author: Herschel Knapp
Publisher: SAGE Publications
ISBN: 1506377416
Size: 13.69 MB
Format: PDF, ePub, Mobi
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What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp's friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. You will learn by doing with this truly practical approach to statistics.

Using Spss Syntax

Author: Jacqueline Collier
Publisher: SAGE
ISBN: 1446246655
Size: 59.50 MB
Format: PDF, Mobi
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SPSS syntax is the command language used by SPSS to carry out all of its commands and functions. In this book, Jacqueline Collier introduces the use of syntax to those who have not used it before, or who are taking their first steps in using syntax. Without requiring any knowledge of programming, the text outlines: - how to become familiar with the syntax commands; - how to create and manage the SPSS journal and syntax files; - and how to use them throughout the data entry, management and analysis process. Collier covers all aspects of data management from data entry through to data analysis, including managing the errors and the error messages created by SPSS. Syntax commands are clearly explained and the value of syntax is demonstrated through examples. This book also supports the use of SPSS syntax alongside the usual button and menu-driven graphical interface (GIF) using the two methods together, in a complementary way. The book is written in such a way as to enable you to pick and choose how much you rely on one method over the other, encouraging you to use them side-by-side, with a gradual increase in use of syntax as your knowledge, skills and confidence develop. This book is ideal for all those carrying out quantitative research in the health and social sciences who can benefit from SPSS syntax's capacity to save time, reduce errors and allow a data audit trail.

A Simple Guide To Spss For Political Science

Author: Lee Kirkpatrick
Publisher: Cengage Learning
ISBN: 1111353794
Size: 35.23 MB
Format: PDF, ePub, Mobi
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A SIMPLE GUIDE TO SPSS FOR POLITICAL SCIENCE is a supplemental text the can be used with another statistics or research methods text. Designed for Political Science majors, A SIMPLE GUIDE TO SPSS FOR POLITICAL SCIENCE helps students navigate through SPSS while taking a statistics or research methods course. The text includes additional coverage of categorical dependent variables, sample problems, and data sets specifically for Political Science. The American National Election Studies (ANES) database is used for sample problems, providing students with well-known and widely used resources in Political Science. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

An Intermediate Guide To Spss Programming

Author: Sarah Boslaugh
Publisher: SAGE
ISBN: 9780761931850
Size: 55.52 MB
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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.

Levine S Guide To Spss For Analysis Of Variance

Author: Sanford L. Braver
Publisher: Psychology Press
ISBN: 113567440X
Size: 63.71 MB
Format: PDF, ePub, Docs
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A greatly expanded and heavily revised second edition, this popular guide provides instructions and clear examples for running analyses of variance (ANOVA) and several other related statistical tests of significance with SPSS. No other guide offers the program statements required for the more advanced tests in analysis of variance. All of the programs in the book can be run using any version of SPSS, including versions 11 and 11.5. A table at the end of the preface indicates where each type of analysis (e.g., simple comparisons) can be found for each type of design (e.g., mixed two-factor design). Providing comprehensive coverage of the basic and advanced topics in ANOVA, this is the only book available that provides extensive coverage of SPSS syntax, including the commands and subcommands that tell SPSS what to do, as well as the pull-down menu point-and-click method (PAC). Detailed explanation of the syntax, including what is necessary, desired, and optional helps ensure that users can validate the analysis being performed. The book features the output of each design along with a complete explanation of the related printout. The new edition was reorganized to provide all analysis related to one design type in the same chapter. It now features expanded coverage of analysis of covariance (ANCOVA) and mixed designs, new chapters on designs with random factors, multivariate designs, syntax used in PAC, and all new examples of output with complete explanations. The new edition is accompanied by a CD-ROM with all of the book's data sets, as well as exercises for each chapter. This book is ideal for readers familiar with the basic concepts of the ANOVA technique including both practicing researchers and data analysts, as well as advanced students learning analysis of variance.

Test Anxiety

Author: Marty Sapp
Publisher: University Press of America
ISBN: 0761862404
Size: 18.58 MB
Format: PDF, Mobi
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This book is designed to give students and researchers the confidence to understand, assess, treat, and research test anxiety. Marty Sapp presents the various cognitive and behavioral theories of test anxiety along with instruments for measuring test anxiety.

R For Sas And Spss Users

Author: Robert A. Muenchen
Publisher: Springer Science & Business Media
ISBN: 9780387094182
Size: 76.60 MB
Format: PDF, Mobi
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While SAS and SPSS have many things in common, R is very different. My goal in writing this book is to help you translate what you know about SAS or SPSS into a working knowledge of R as quickly and easily as possible. I point out how they differ using terminology with which you are familiar, and show you which add-on packages will provide results most like those from SAS or SPSS. I provide many example programs done in SAS, SPSS, and R so that you can see how they compare topic by topic. When finished, you should be able to use R to: Read data from various types of text files and SAS/SPSS datasets. Manage your data through transformations or recodes, as well as splitting, merging and restructuring data sets. Create publication quality graphs including bar, histogram, pie, line, scatter, regression, box, error bar, and interaction plots. Perform the basic types of analyses to measure strength of association and group differences, and be able to know where to turn to cover much more complex methods.