At last, a comprehensive guide that meets psychologists and other social scientists' growing need to master the tools of statistical prediction. "Prediction Statistics for Psychological Assessment," by R. Karl Hanson, is the first book to teach students and practitioners the nuts and bolts of prediction statistics, while illustrating the…

Across all social science disciplines, but in particular public administration, there is a shared concern about the costs of using traditional random samples to generate data, and its impact on researchers' ability to engage in "quality" research. As a result of these costs, more academics, practitioners, and students are turning to…

This book offers practical guidance for understanding and implementing APA Style Journal Article Reporting Standards (JARS) and Meta-Analysis Reporting Standards (MARS) for quantitative research. These standards provide the essential information researchers need to report, including detailed accounts of the methods they followed, data results and…

This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical…