Elementary Statistics in Social Research:
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Provides an understanding of statistics in the social sciences.
This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques. The eleventh edition of Elementary Statistics in Social Research is written to be understandable to all readers, particularly those without a strong background in mathematics.
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Upon completing this book, readers will be able to:
- Develop an understanding of the importance of statistics in the social sciences.
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Jack Levin is the Irving and Betty Brudnick Professor of Sociology at Northeastern University. His research interests include, criminology, murder, prejudice and hate, and social psychology. Dr. Levin's other books include The Violence of Hate, Why We Hate, The Will to Kill: Making Sense of Sensleless Murder (with James Alan Fox), and Extreme Killing: Understanding Serial and Mass Murder (with James Alan Fox).
James Alan Fox is the Lipman Family Professorof Criminal Justice and Professor of Law, Policy, and Society at Northeastern University. He is the author or co-author of sixteen books including Will to Kill and Extreme Killing (both with Jack Levin); winner of the 2007 Hugo Adam Bedau Award for excellence in capital punishment scholarship; and a former Visiting Fellow with the Bureau of Justice Statistics of the U.S. Department of Justice.
David Forde is Professor and Graduate Director in the Department of Criminal Justice at the University of Alabama. His principal research activity has been collecting survey and evaluation data on issues of criminal victimization and trauma. Dr. Forde is a current advisor to the National Institute for Law and Equity and a past advisor to the Memphis Shelby Crime Commission on best practices to reduce crime.
Brief Table of Contents:
Chapter 1: Why the Social Researcher Uses Statistics
PART ONE: Description
Chapter 2: Organizing the Data
Chapter 3: Measures of Central Tendency
Chapter 4 : Measures of Variability
PART TWO: From Description to Decision Making
Chapter 5: Probability and the Normal Curve
Chapter 6: Samples and Populations
PART THREE: Decision Making
Chapter 7 : Testing Differences between Means
Chapter 8 : Analysis of Variance
Chapter 9 : Nonparametric Tests of Significance
PART FOUR: From Decision Making to Association
Chapter 10: Correlation
Chapter 11 : Regression Analysis
Chapter 12: Nonparametric Measures of Correlation
PART FIVE: Applying Statistics
Chapter 13: Choosing Statistical Procedures for Research Problems
Appendix A Introduction to SPSS
Appendix B A Review of Some Fundamentals of Mathematics
Appendix C Tables
Appendix D List of Formulas
Answers to Problems