Table of Contents

Preface
Chapter 1: Measuring Political, Social and Economic Conditions
Chapter 2: Measuring Racial and Ethnic Inequality
Chapter 3: Statistical Fallacies, Paradoxes and Threats to Validity
Chapter 4: Examining a Relationship: New York City Crime Rates
Chapter 5: Tabulating the Data and Writing about the Numbers
Chapter 6: The Graphical Display of Data
Chapter 7: Voting and Elections
Chapter 8: Measuring Educational Achievement
Chapter 9: Measuring Poverty and Inequality

About the Author

Gary M. Klass teaches public policy, race and ethnicity, and quantitative research methods at Illinois State University. He is past president of the APSA Computers and Multimedia Section and co-editor of the Political Science Research and Teaching List.

Reviews

This short book is a useful supplement to traditional statistics and research method texts....Recommended.
*CHOICE*

In Just Plain Data Analysis, Gary Klass analyzes simple statistics that involve sophisticated reasoning. This book cuts through paradoxes, fallacies and socially-constructed statistics to uncover the basic elements of data analysis. A must-read for anyone interested in statistical literacy.
*Milo Schield, director of the W. M. Keck Statistical Literacy Project, Augsburg College*

As a teacher of research methods, I have been waiting for a book like Just Plain Data Analysis. By focusing on finding, presenting and interpreting data, Klass encourages students to develop the critical thinking skills that they will need once they leave the university. The writing is clear and the examples are excellent. The discussion of reliability, validity, and ecological fallacy is the best I have read in an undergraduate text. The many table and chart examples will help students improve their skills.
*Bill Wilkerson, College at Oneonta, SUNY*

With humor and political balance, Just Plain Data Analysis offers a pithy guide to finding, presenting and interpreting social science data ranging from crime to elections. Recommended for students, teachers and policymakers who want to understand where the data comes from and how to use it responsibly.
*Mark Maier, author of The Data Game: Controversies in Social Science Statistics*

Just Plain Data Analysis: Finding, Presenting, and Interpreting Social Science by Gary M. Klass is an exploration of the types of quantitative research (which is rooted in data and statistical analysis) that can be used to draw conclusions about such social science issues as crime rates and measuring educational achievement. Klass uses examples of statistical claims to demonstrate how changing the time frame for data collection or looking at different correlations can result in varying or misleading statements. He also has chapters to how to tabulate and display numbers and how to use graphical presentation effectively.
*American Libraries*