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HOW TO USE SPSS SYNTAX: An Overview of Common Commands
Manfred te Grotenhuis, Radboud University Nijmegen, The Netherlands • Chris Visscher
Rather than focusing on SPSS menus and the graphic user interface, How to Use SPSS Syntax 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.
CONTENTS 1. SPSS Syntax Usage / 2. Basic Knowledge / 3. Data Modifications / 4. Statistical Analyses / Appendix I. Arithmetic Expressions /
Appendix II. Logical Expressions
PAPERBACK ISBN: 978-1-4833-3343-4 • ©2015 • 144 PAGES • •
online
resources
Statistical Software – Excel
EXCEL STATISTICS: A Quick Guide THIRD EDITION
Neil J. Salkind, University of Kansas
Ideal for those already familiar with basic Excel features, the updated Third Edition shows readers how to utilize
Microsoft Excel's functions and Analysis ToolPak to answer simple and complex questions about data. Part I explores
35 Excel functions, while Part II contains 20 Analysis ToolPak tools. To make it easy to see what each function or
tool looks like when applied, at-a-glance two-page spreads describe each function and its use with corresponding
screenshots. In addition, actual data files used in the examples are readily available online at an open-access Student
Study Site.
CONTENTS PART I: USING EXCEL FUNCTIONS / 1. Computing Averages / 2. Looking at Variability / 3. Describing Data / 4. Looking at Relationships
/ 5. Testing Independence / 6. Testing Significance / 7. Looking at Data / PART II: USING THE ANALYSIS TOOLPAK / 8. Describing Data / 9.
Comparing Means / 10. Looking at Relationships / 11. Illustrating Data
PAPERBACK ISBN: 978-1-4833-7404-8 • ©2016 • 168 PAGES • •
online
resources
CREATING AND VERIFYING DATA SETS WITH EXCEL
Robert E. McGrath, Fairleigh Dickinson University
Accurate data entry and analysis can be deceptively labor-intensive and time-consuming. This focused, easy-to-read guide
gives readers the wherewithal to make use of a remarkable set of data tools tucked within Excel—tools most researchers
are entirely unaware of. It incorporates a number of learning tools such as screenshots, text boxes that summarize key
points, examples from across the social sciences, tips for creating professional-looking tables, and questions at the end of
each chapter.
CONTENTS 1. Why This Book / 2. Software Options for Entering Data / 3. An Introduction to Excel / 4. Data Transformations / 5. Data Entry and
Verification / 6. Data Import and Verification / 7. Exporting to Statistical Software / 8. Final Thoughts
PAPERBACK ISBN: 978-1-4833-3145-4 • ©2015 • 184 PAGES • •
online
resources
Statistical Software – R
USING R WITH MULTIVARIATE STATISTICS
Randall E. Schumacker, University of Alabama, Tuscaloosa
Using R with Multivariate Statistics is a quick guide to using R, free-access software available for Windows and Mac
operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more
comprehensive text on multivariate statistics, this book provides data analysis examples, R code, computer output,
and explanation of results for every multivariate statistical application included. A unique feature of the book is the
photographs and biographies of famous persons in the field of multivariate statistics.
CONTENTS 1: Introduction and Overview / 2: Multivariate Statistics: Issues and Assumptions / 3: Hotelling's T2 : A Two-Group Multivariate
Analysis / 4: Multivariate Analysis of Variance (MANOVA) / 5: Multivariate Analysis of Covariance (MANCOVA) / 6: Multivariate Repeated Measures
/ 7: Discriminant Analysis / 8: Canonical Correlation / 9: Exploratory Factor Analysis / 10: Principal Components / 11: Multidimensional Scaling /
12: Structural Equation Modeling
PAPERBACK ISBN: 978-1-4833-7796-4 • ©2016 • 408 PAGES • •
online
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