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aPPlied StatiSticS: From Bivariate Through Multivariate Techniques
Second edition
Rebecca M. Warner, University of New Hampshire
This text provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple
regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. Author Rebecca M.
Warner uses an applied approach that does not require formal mathematics; equations are accompanied by verbal
explanations, and students are asked to think about the meaning of the equations. Each chapter presents a complete
empirical research example to illustrate the application of a specific method, along with a glossary and comprehension
questions to help students master each concept.
CONTENTS 1. Review of Basic Concepts / 2. Basic Statistics, Sampling Error, and Confidence Intervals / 3. Statistical Significance Testing / 4.
Preliminary Data Screening / 5. Comparing Group Means Using the Independent Samples t Test / 6. One-Way Between-Subjects Analysis of Variance
/ 7. Bivariate Pearson Correlation / 8. Alternative Correlation Coefficients / 9. Bivariate Regression / 10. Adding a Third Variable: Preliminary
Exploratory Analyses / 11. Multiple Regression With Two Predictor Variables / 12. Dummy Predictor Variables in Multiple Regression / 13. Factorial
Analysis of Variance / 14. Multiple Regression With More Than Two Predictors / 15. Moderation: Tests for Interaction in Multiple Regression / 16.
Mediation / 17. Analysis of Covariance / 18. Discriminant Analysis / 19. Multivariate Analysis of Variance / 20. Principal Components and Factor
Analysis / 21. Reliability, Validity, and Multiple-Item Scales / 22. Analysis of Repeated Measures / 23. Binary Logistic Regression
hArdcover ISbn: 978-1-4129-9134-6 • ©2013 • 1208 PAgeS • •
longItudInAl dAtA AnAlySIS for the behAvIorAl ScIenceS uSIng r
Jeffrey D. Long, University of Iowa
This book is unique in its focus on showing students in the behavioral sciences how to analyze longitudinal data using
R software. The book focuses on application, making it practical and accessible to students in psychology, education,
and related fields, who have a basic foundation in statistics. It provides explicit instructions in R computer programming
throughout the book, showing students exactly how a specific analysis is carried out and how output is interpreted.
CONTENTS 1. Introduction / 2. Brief Introduction to R / 3. Data Structures and Longitudinal Analysis / 4. Graphing Longitudinal Data / 5.
Introduction to Linear Mixed Effects Regression / 6. Overview of Maximum Likelihood Estimation / 7. Multimodel Inference and Akaike's Information
Criterion / 8. Likelihood Ratio Test / 9. Selecting Time Predictors / 10. Selecting Random Effects / 11. Extending Linear Mixed Effects Regression /
12. Modeling Nonlinear Change / 13. Advanced Topics
hArdcover ISbn: 978-1-4129-8268-9 • ©2012 • 568 PAgeS • •
an r comPanion to aPPlied regreSSion Second edition
John Fox, McMaster University • Sanford Weisberg, University of Minnesota
This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. The
authors provide a step-by-step guide to using the high-quality free statistical software R, an emphasis on integrating
statistical computing in R with the practice of data analysis, coverage of generalized linear models, enhanced coverage
of R graphics and programming, and substantial web-based support materials.
CONTENTS 1. Getting Started With R / 2. Reading and Manipulating Data / 3. Exploring and Transforming Data / 4. Fitting Linear Models / 5.
Fitting Generalized Linear Models / 6. Diagnosing Problems in Linear and Generalized Linear Models / 7. Drawing Graphs / 8. Writing Programs
PAPerbAck ISbn: 978-1-4129-7514-8 • ©2011 • 472 PAgeS •
Statistical reference
excel StatiSticS: A Quick Guide Second edition
Neil J. Salkind, University of Kansas
Designed for users already familiar with basic computer operations, Neil J. Salkind's Excel Statistics: A Quick guide
shows readers how to utilize the features of Microsoft Excel to answer both simple and complex questions about data
analysis. Part I explores Excel functions, each one of which is detailed on a two-page spread. Part II of the text contains
Analysis Toolpak tools, each two page spreads of the same design as for functions.
CONTENTS PART 1. EXCEL FUNCTIONS / PART 2. USING THE ANALYSIS TOOLPAK
PAPerbAck ISbn: 978-1-4522-5792-1 • ©2013 • 160 PAgeS • •
uSIng SPSS: An Interactive Hands-On Approach
James B. Cunningham, California State University, Northridge • James O. Aldrich, California State
University, Northridge
This practical book can be used as a supplementary text or as a self-help guide for learning to use SPSS at one's own
pace. The book uses statistics to teach SPSS, by interacting with the software and learning by inquiry and discovery.
PAPerbAck ISbn: 978-1-4129-9515-3 • ©2012 • 256 PAgeS •
