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15
TEXTBOOKS
&
HANDBOOKS
INTRODUCTION TO STATISTICS: Fundamental Concepts and Procedures of Data
Analysis
Howard M. Reid, SUNY Buffalo State
Using an accessible and reader-friendly approach, this comprehensive introduction to statistics text redefi nes the way
statistics can be taught and learned.
CONTENTS 1. Introduction / 2. Describing Nominal and Ordinal Data / 3. Describing Interval and Ratio Data - I / 4. Describing Interval and Ratio Data
- II / 5. Using SPSS / 6. The Logic of Inferential Statistics / 7. Finding Differences with Nominal Data - I / 8. Finding Differences with Nominal Data - II /
9. Finding Differences with Interval and Ratio Data - I / 10. Finding Differences with Interval and Ratio Data - II / 11. Finding Differences with Interval/
Ratio Data - III / 12. Finding Differences with Interval/Ratio Data - IV / 13. Finding Differences with Interval/Ratio Data - V / 14. Identifying Associations
with Nominal and Interval/Ratio Data / 15. Identifying Associations with Interval/Ratio Data / 16. Congratulations - The Big Picture and Next Steps
PAPERBACK ISBN: 978-1-4522-7196-5 • ©2014 • 632 PAGES • •
online
resources
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USING BASIC STATISTICS IN THE BEHAVIORAL AND SOCIAL SCIENCES FIFTH EDITION
Annabel Ness Evans, Concordia University College of Alberta, Canada
In this fully updated edition of Using Basic Statistics in the Social Sciences, Annabel Ness Evans presents
introductory statistics in a practical, conceptual, and humorous way, reducing the anxiety that many students
experience in introductory courses. Avoiding complex notation and derivations, the book focuses on helping readers
develop an understanding of the underlying logic of statistics, rather than rote memorization.
CONTENTS 1. Introduction to Statistical Concepts / 2. Organizing and Presenting Data / 3. Describing the Central Tendency of Distributions / 4.
Describing the Variability of Distributions / 5. Describing the Position of Scores in Distributions / 6. Introduction to Inference: The Normal Curve
/ 7. Introduction to Inference: Probability / 8. Introduction to Inference: The Random Sampling Distribution / 9. Inference with the Normal Curve
/ 10. Inference with the t Distribution / 11. Inference with the F Distribution / 12. Analysis of Variance with Repeated Measures / 13. Multiple
Comparison Procedures / 14. Inference with the Chi-Square Distribution / 15. Additional Non-Parametric Techniques / 16. Correlational Techniques
/ 17. Predictive Techniques / 18. Choosing the Appropriate Test of Signifi cance
PAPERBACK ISBN: 978-1-4522-5950-5 • ©2014 • 624 PAGES • •
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resources
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PRACTICAL STATISTICS FOR NURSING USING SPSS
Herschel Knapp, University of Southern California
PAPERBACK ISBN: 978-1-5063-2567-5 • APRIL 2016 • 408 PAGES • •
online
resources
SEE ALSO HEALTH STATISTICS SECTION, PAGE 51 FOR MORE INFORMATION ON THIS TEXT.
Statistics – General Interest
UPDATED EDITION OF BEST SELLER
THE SAGE DICTIONARY OF STATISTICS & METHODOLOGY: A Nontechnical Guide
for the Social Sciences FIFTH EDITION
W. Paul Vogt, Illinois State University • R. Burke Johnson, University of South Alabama
The sourcebook of simple defi nitions and explanations of statistical, statistics-related, and methodological concepts!
Written in a clear, readable style with a wide range of explanations and examples, this must-have dictionary refl ects
recent changes in the fi elds of statistics and methodology. This invaluable resource is an ideal reference for researchers
and professionals in the fi eld and provides everything students need to read and understand a research report.
PAPERBACK ISBN: 978-1-4833-8176-3 • ©2016 • 520 PAGES •
MATHEMATICS FOR SOCIAL SCIENTISTS
Jonathan Kropko, University of Virginia
Written for social science students who will be working with or conducting research, Mathematics for Social
Scientists offers a non-intimidating approach to learning or reviewing math skills essential in quantitative research
methods. The text is designed to build students' confi dence by presenting material in a conversational tone and using
a wealth of clear and applied examples. Author Jonathan Kropko argues that mastering these concepts will break
students' reliance on using basic models in statistical software, allowing them to engage with research data beyond
simple software calculations.
CONTENTS PART I: ALGEBRA, PRECALCULUS, AND PROBABILITY / 1. Algebra Review / 2. Sets and Functions / 3. Probability / PART II: CALCULUS /
4. Limits and Derivatives / 5. Optimization / 6. Integration / 7. Multivariate Calculus / PART III: LINEAR ALGEBRA / 8. Matrix Notation and Arithmetic
/ 9. Matrix Inverses, Singularity, and Rank / 10. Linear Systems of Equations and Eigenvalues
PAPERBACK ISBN: 978-1-5063-0421-2 • ©2016 • 408 PAGES • •
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