Social Science Research Design and Statistics

This book integrates social science research methods and the descriptions of over 40 univariate, bivariate, and multivariate tests to include a description of the purpose, key assumptions and requirements, example research question and null hypothesis, SPSS procedures, display and interpretation of SPSS output, and what to report for each test. It is classroom tested and current with IBM SPSS 22. Additionally, a companion website provides book users with supplemental resources to include SPSS data files linked to the test examples presented in this book.

Alfred P. (Fred) Rovai
Fred, a native of San Jose, California, received a BA degree (mathematics) from San Jose State University, an MA degree (public administration) from the University of Northern Colorado, and an MS degree (education) and PhD degree (academic leadership) from Old Dominion University. He also completed postgraduate work in systems management at the University of Southern California and possesses a postgraduate professional license in mathematics from the Commonwealth of Virginia. 
aprovai@mac.com

Jason D. Baker
Jason is a professor of education at Regent University where he serves as the distance education advisor in a blended EdD program. He earned his BS degree in electrical engineering from Bucknell University, MA degree in education from The George Washington University, and PhD in communication from Regent University. 
jbaker@regent.edu

Michael K. Ponton 
Michael holds an EdD degree in higher education administration and a MS degree in engineering, both from The George Washington University, and a BS degree in physics from Old Dominion University. He presently serves as professor of education at Regent University, teaching primarily research related courses in EdD and PhD programs.
michpon@regent.edu