Just Plain Data Analysis teaches students statistical literacy skills that they can use to evaluate and construct arguments about public affairs issues grounded in numerical evidence. The book addresses skills that are often not taught in introductory social science research methods courses and that are often covered sketchily in the research methods textbooks: where to find commonly used measures of political and social conditions; how to assess the reliability and validity of specific indicators; how to present data efficiently in charts and tables; how to avoid common misinterpretations and misrepresentations of data; and how to evaluate causal arguments based on numerical data. With a new chapter on statistical fallacies and updates throughout the text, the new edition teaches students how to find, interpret, and present commonly used social indicators in an even clearer and more practical way.  

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

"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