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Statistics and Data Analysis for Social Science
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Statistics and Data Analysis for Social Science

Second Edition
August 2019 | 456 pages | SAGE Publications, Inc
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Apply statistics to your everyday life. 

Statistics and Data Analysis for Social Science helps students to build a strong foundational understanding of statistics by providing clarity around when and why statistics useful. Rather than focusing on the “how to” of statistics, author Eric J. Krieg simplifies the complexity of statistical calculations by introducing only what is necessary to understanding each concept. Every chapter is written around and applied to a different social problem or issues—enabling students to broaden their imagination about the statistical “tools” that can be used to make sense of our world and, maybe, to make the world a better place. 

In addition to updating all the tables and examples with new data, the Second Edition has replaced the section on SPSS with three new sets of exercises at the end of each chapter:

  1. Chapter Exercises for students complete during their reading and bring questions to class,
  2. In-Class Exercises that focus on the areas that students struggled with during their reading, and
  3. Homework Exercises that can be assigned if students need extra practice with the concepts.
 
Preface
 
Acknowledgments
 
About the Author
 
Chapter 1: Concepts, Variables, and Measurement
Introduction

 
Concepts

 
Why Statistics?

 
Variables

 
Measurement

 
Graphical Representation of Data (What Data “Look” Like)

 
Validity and Reliability

 
Chapter Summary

 
 
Chapter 2: Frequency Tables
Introduction

 
Toxic Waste and “Superfund”

 
Frequency Tables

 
Superfund Sites: Frequency Table for a Nominal Variable

 
Frequency Table for an Ordinal Variable

 
Frequency Table for an Interval/Ratio Variable

 
Chapter Summary

 
 
Chapter 3: Measures of Central Tendency
Introduction

 
Averages and Energy Consumption

 
Definitions of Mode, Median, and Mean

 
Calculating Measures of Central Tendency With Raw Data

 
Calculating Measures of Central Tendency With Grouped Data

 
Chapter Summary

 
 
Chapter 4: Measures of Dispersion
Introduction

 
The Distribution of Education in the United States

 
Range

 
Interquartile Range

 
Mean Absolute Deviation

 
Variance (S2)

 
Standard Deviation (S)

 
Standard Deviation and the Normal Curve

 
Chapter Summary

 
 
Chapter 5: Probability and the Normal Curve
Introduction

 
Intelligence, Life Chances, and Inequality

 
The Fundamentals of Probability

 
Probability Using Frequency Tables

 
Probability and the Normal Curve

 
Using z-Scores to Find Percentiles

 
Chapter Summary

 
 
Chapter 6: Probability—From Samples to Statistics
Introduction

 
The Politics of Sampling: Global Warming and Political Party Affiliation

 
Sampling and Statistics

 
The Standard Error of the Mean

 
The Standard Error of the Proportion

 
Other Confidence Intervals

 
The t Distribution

 
Hypotheses and Testing Differences Between Means

 
Potential Errors: Type I and Type II

 
Chapter Summary

 
 
Chapter 7: Cross-tabulation and Chi-Square
Introduction

 
The “Environmental Decade”

 
Cross-tabulation Tables

 
Cross-tabulation and the Chi-Square Test of Statistical Significance

 
Chapter Summary

 
 
Chapter 8: Measures of Association for Categorical Variables
Introduction

 
Social Institutions and Social Control

 
Nominal Measures of Association

 
Ordinal Measures of Association

 
Chapter Summary

 
 
Chapter 9: Analysis of Variance
Introduction

 
Smoking on Campus

 
Analysis of Variance

 
Chapter Summary

 
 
Chapter 10: Correlation and Regression
Introduction

 
Unequal America

 
Scatterplots: The Underlying Logic Behind Correlation

 
Correlation

 
Linear Regression

 
Chapter Summary

 
 
Appendix
 
Answers to Chapter Exercises
 
Answers to In-Class Exercises
 
Glossary
 
References
 
Index

Supplements

Instructor Site
edge.sagepub.com/krieg2e

Instructor Teaching Site (Password Protected)

SAGE edge for Instructors, supports your teaching by making it easy to integrate quality content and create a rich learning environment for students. 
  • Test banks provide a diverse range of pre-written options as well as the opportunity to edit any question and/or insert your own personalized questions to effectively assess students’ progress and understanding.
  • The Answer Key provides answers to the Homework Assignments in the text.
  • Editable, chapter-specific PowerPoint® slides offer complete flexibility for creating a multimedia presentation for your course.
  • Lecture notes summarize key concepts by chapter to help you prepare for lectures and class discussions.
 
Student Study Site
Student Study Site (Open Access)

SAGE edge for Students provides a personalized approach to help students accomplish their coursework goals in an easy-to-use learning environment.
  • Mobile-friendly eFlashcards strengthen understanding of key terms and concepts. 
  • Mobile-friendly practice quizzes allow for independent assessment by students of their mastery of course material.
  • Chapter summaries with learning objectives reinforce the most important material.
  • Interactive exercises and meaningful Web links facilitate student use of Internet resources, further exploration of topics, and responses to critical thinking questions.
  • EXCLUSIVE! Access to full-text SAGE journal articles that have been carefully selected to support and expand on the concepts presented in each chapter is included.  
 
Key features

NEW TO THIS EDITION:
In addition to updating all the tables and examples with new data, the Second Edition has replaced the section on SPSS with three new sets of exercises at the end of each chapter—eliminating the need for students to purchase additional online materials. Each chapter includes:

  • Chapter Exercises for students complete during their reading and bring questions to class,
  • In-Class Exercises that focus on the areas that students struggled with during their reading, and
  • Homework Exercises that can be assigned if students need extra practice with the concepts.

KEY FEATURES: 
  • Chapter Opening Examples highlight real-world issues that give the chapter material meaning and show the role of statistics in everyday life.
  • Multiple tables and charts summarize key formulas and symbols used in each chapter as well as show what data “looks like” in visual and graphical terms.
  • Use of examples with smaller numbers and amounts of data help to simplify the calculations required.
  • Basic mathematics are integrated into the chapters (instead of in an appendix).
  • Now You Try It reinforces understanding by enabling students to a practice statistical concept after it is introduced. Answers to these exercises are provided at the end of the chapters.
  • Statistical Uses and Misuses encourage students to be informed consumers of statistical information by giving real examples of how statistics can inform or deceive.
  • Eye on the Applied take an important concept from each chapter and provide a case study example of how statistics reveal that the world is not always as it appears.
  • Integrating Technology describe the manner in which different types of technologies facilitate the generation and interpretation of statistics.

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