Robert A. Hanneman & Augustine J. Kposowa 
Basic Statistics for Social Research 

A core statistics text that emphasizes logical inquiry, not
math

Basic Statistics for Social Research teaches core general
statistical concepts and methods that all social science majors
must master to understand (and do) social research. Its use of
mathematics and theory are deliberately limited, as the authors
focus on the use of concepts and tools of statistics in the
analysis of social science data, rather than on the mathematical
and computational aspects. Research questions and applications are
taken from a wide variety of subfields in sociology, and each
chapter is organized around one or more general ideas that are
explained at its beginning and then applied in increasing detail in
the body of the text.

Each chapter contains instructive features to aid students in
understanding and mastering the various statistical approaches
presented in the book, including:

* Learning objectives

* Check quizzes after many sections and an answer key at the end
of the chapter

* Summary

* Key terms

* End-of-chapter exercises

* SPSS exercises (in select chapters)

Ancillary materials for both the student and the instructor are
available and include a test bank for instructors and downloadable
video tutorials for students.

Table of Content

Tables and Figure

Preface

Acknowledgements

The Authors

Part 1 Univariate Description

Chapter 1: Statistics and the Research Process

Chapter 2: Frequency Distribution

Chapter 3: Central Tendency

Chapter 4: Dispersion

Chapter 5: Distribution Shape

Part 2 Inference and Hypothesis Testing

Chapter 6: The Normal Distribution

Chapter 7: Basic Ideas of Statistical Inference

Chapter 8: Hypothesis Testing for One Sample

Chapter 9: Hypothesis Testing for Two Samples

Chapter 10: Multiple Group Tests for Proportions: Chi-square

Chapter 11: Multiple Sample Tests for Means: One-way ANOVA

Part 3 Association and Prediction

Chapter 12: Association with Categorical Variables

Chapter 13: Association with Interval/Ratio Variables

Chapter 14: Prediction for Interval/Ratio Outcomes

Chapter 15: Prediction for Categorical Outcomes

Appendices

Index

About the author

ROBERT A. HANNEMAN is a professor of sociology at the
University of California, Riverside.

AUGUSTINE J. KPOSOWA is a professor of sociology at the
University of California, Riverside.

MARK D. RIDDLE is the Director of Institutional Research
at Antioch University Los Angeles.