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SOCIAL STATISTICS FOR A DIVERSE SOCIETY EIGHTH EDITION
Chava Frankfort-Nachmias, University of Wisconsin, Milwaukee • Anna Leon-Guerrero, Pacifi c Lutheran
University
This Eighth Edition of Social Statistics for a Diverse Society continues to emphasize intuition and common sense,
while demonstrating that social science is a constant interplay between methods of inquiry and important social
issues. Recognizing that today's students live in a world of growing diversity and richness of social differences, authors
Chava Frankfort-Nachmias and Anna Leon-Guerrero use research examples that show how statistics is a tool for
understanding the ways in which race, class, gender, and other categories of experience shape our social world and
infl uence social behavior.
CONTENTS 1. The What and the Why of Statistics / 2. The Organization and Graphic Presentation of Data / 3. Measures of Central Tendency / 4.
Measures of Variability / 5. The Normal Distribution / 6. Sampling and Sampling Distributions / 7. Estimation / 8. Testing Hypotheses / 9. Bivariate
Tables / 10. The Chi-Square Test and Measures of Association / 11. Analysis of Variance / 12. Regression and Correlation
PAPERBACK ISBN: 978-1-5063-4720-2 • ©2018 • 544 PAGES • • • •
INCLUDES TUTORIAL VIDEOS DEMONSTRATING HOW TO USE SPSS TO WORK WITH DATA!
INTRODUCTORY STATISTICS USING SPSS SECOND EDITION
Herschel Knapp, University of Southern California
The updated Second Edition of Herschel Knapp's friendly and practical introduction to statistics shows students how
to properly select, process, and interpret statistics without heavy emphasis on theory, formula derivations, or abstract
mathematical concepts. Online tutorial videos, examples, screenshots, and intuitive illustrations help students "get the
story" from their data as they learn by doing, completing practice exercises at the end of each chapter using prepared
downloadable data sets.
CONTENTS PART I: STATISTICAL PRINCIPLES / 1: Research Principles / 2: Sampling / 3: Working in SPSS / PART II: STATISTICAL PROCESSES / 4:
Descriptive Statistics / 5: t Test and Mann-Whitney U Test / 6: ANOVA and Kruskal-Wallis Test / 7: Paired t Test and Wilcoxon Test / 8: Correlation
and Regression - Pearson and Spearman / 9: Chi-Square / PART III: DATA HANDLING / 10: Supplemental SPSS Operations
PAPERBACK ISBN: 978-1-5063-4100-2 • ©2017 • 312 PAGES •
online
resources
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DATA ANALYSIS FOR THE SOCIAL SCIENCES: Integrating Theory and Practice
Douglas Bors, University of Toronto at Scarborough, Canada
Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it
shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to.
CONTENTS PART I: THE FOUNDATIONS / 1: Overview / 2: Descriptive Statistics / 3: Probability / PART II: BASIC RESEARCH DESIGNS / 4:
Categorical data and hypothesis testing / 5: Testing for a Difference: Two Conditions / 6: Observational studies: Two categorical variables / 7:
Observational studies: Two measurement variables / 8: Testing for a difference: Multiple between-subject conditions (ANOVA) / 9: Testing for a
difference: Multiple related-samples / 10: Testing for specifi c differences: Planned and unplanned tests / PART III: ANALYZING COMPLEX DESIGNS /
11: Testing for Differences: ANOVA and Factorial Designs / 12: Multiple Regression / 13: Factor analysis
PAPERBACK ISBN: 978-1-4462-9848-0 • ©2019 • 664 PAGES •
online
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QUANTITATIVE SOCIAL SCIENCE DATA WITH R: An Introduction
Brian J. Fogarty
Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step
introduction to quantitative research and data every student needs.
CONTENTS Introduction to R and R Studio / Finding Data / Data Management / Variables & Manipulation / Developing Hypotheses / Univariate
& Descriptive Statistics / Visualising Data / Hypothesis Testing / Bivariate Analysis / Linear Regression & Model Building / OLS Assumptions &
Diagnostic Testing / Putting it all Together
PAPERBACK: $44.00 • ISBN: 978-1-5264-1150-1 • ©2019 • 328 PAGES •
online
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STATISTICS WITH R: A Beginner's Guide
Robert Stinerock, Universidade Nova de Lisboa, Portugal
Statistics with R provides readers with the conceptual foundation to use applied statistical methods in everyday
research. Each statistical method is developed within the context of practical, real-world examples and is supported
by carefully developed pedagogy and jargon-free defi nitions. Theory is introduced as an accessible and adaptable tool
and is always contextualized within the pragmatic context of real research projects and defi nable research questions.
CONTENTS 1. Introduction and R Instructions / 2. Descriptive Statistics: Tabular and Graphical Methods / 3. Descriptive Statistics: Numerical
Methods / 4. Introduction to Probability / 5. Discrete Probability Distributions / 6. Continuous Probability Distributions / 7. Point Estimation and
Sampling Distributions / 8. Confi dence Interval Estimation / 9. Hypothesis Tests: Introduction, Basic Concepts, and an Example / 10. Hypothesis
Tests About u and p: Applications / 11. Comparisons of Means and Proportions / 12. Simple Linear Regression / 13. Multiple Regression
PAPERBACK ISBN: 978-1-4739-2490-1 • ©2019 • 392 PAGES •
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