This unique intermediate/advanced statistics text uses real research on antisocial behaviors, such as cyberbullying, stereotyping, prejudice, and discrimination, to help readers across the social and behavioral sciences understand the underlying theory behind statistical methods. By presenting examples and principles of statistics within the context of these timely issues, authors Jerome Frieman, Donald A. Saucier, and Stuart S. Miller show how the results of analyses can be used to answer research questions. New techniques for data analysis and a wide range of topics are covered, including how to deal with messy data and the importance of engaging in exploratory data analysis.
Jerome Frieman earned his PhD from Kent State University in Ohio. He has been at Kansas State University since 1968. Over the course of his career, he engaged in research on operant conditioning in pigeons, rats, and dwarf hamsters; Pavlovian conditioning in rats; social learning in dwarf hamsters; and extraordinary memory in a human participant. He is the author of Learning and Adaptive Behavior and co-author of Memory Search by a Memorist.
Christopher P. Barlett, Donald A. Saucier, Jerome Frieman, Stuart S. Miller