BUNDLE: Privitera, Statistics for the Behavioral Sciences +WebAssign +Francis, STATLAB Online

1. Auflage 2012
ISBN: 978-1-4522-3490-8
Verlag: SAGE Publications Inc

Medienkombination, Englisch, Format (B × H): 206 mm x 262 mm, Gewicht: 1560 g

Privitera, Statistics for the Behavioral Sciences is now bundled witháWebAssign and STATLAB Online for just $15 more than the price of the standalone text!Privitera, Statistics for the Behavioral SciencesStatistics for the Behavioral Sciences is an introduction to statistics text that will engage students in an ongoing spirit of discovery by illustrating how statistics apply to modern-day research problems. By integrating instructions, screenshots, and practical examples for using IBM SPSS® Statistics software, the book makes it easy for students to learn statistical concepts within each chapter. Gregory J. Privitera takes a user-friendly approach while balancing statistical theory, computation, and application with the technical instruction needed for students to succeed in the modern era of data collection, analysis, and statistical interpretation.WebAssignWebAssign online homework and grading accompanies Statistics for the Behaviorial Sciences by Gregory J. Privitera. It features 10 questions per chapter, both algorithmic and multiple-choice for students to answer.WebAssign is the leading provider of powerful online instructional tools for faculty and students. In brief, instructors create assignments online within WebAssign and electronically transmit them to their class. Students enter their answers online, and WebAssign automatically grades the assignment and gives students instant feedback on their performance.Francis, STATLAB OnlineSTATLAB Online is an online laboratory for Intro Statistics, where students participate in behavioral experiments, and gather and analyze their own data using the statistical techniques taught in the course. Students are guided through the analysis of their data to demonstrate different statistical techniques in a meaningful way. By working with their own data, STATLAB Online provides a new way for students to appreciate the relevance of statistical analyses for understanding human behavior.Please contact your Sales Representative for more information!

Autoren/Hrsg.

Privitera, Gregory J.

Fachgebiete

• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologie: Allgemeines

Über Autor(innen)

Privitera, Gregory J.
Gregory J. Privitera is a three-time national-award-winning author and a professor of psychology at St. Bonaventure University where he is a recipient of its highest teaching honor, The Award for Professional Excellence in Teaching, and its highest honor for scholarship, The Award for Professional Excellence in Research and Publication. Dr. Privitera received his PhD in behavioral neuroscience in the field of psychology at the State University of New York at Buffalo and continued with his postdoctoral research at Arizona State University. His texts span diverse topics in psychology and the behavioral sciences and include an introductory psychology text, three statistics texts, two research methods texts, and multiple other texts bridging knowledge creation across health, health care, and analytics. In addition, Dr. Privitera has authored more than three dozen peer-reviewed papers aimed at advancing our understanding of health, health literacy, and informing policy in health care. His research has earned recognition by the American Psychological Association and in media to include Oprah’s Magazine, Time Magazine and the Wall Street Journal. He mentors a variety of undergraduate research projects at St. Bonaventure University, where dozens of students, many of whom have gone on to earn graduate and doctoral degrees at various institutions, have coauthored and presented research work. In addition to his teaching, research, and advisement, Dr. Privitera is a veteran of the U.S. Marine Corps, is an identical twin, and is married with two daughters, Grace Ann and Charlotte Jane, and two sons, Aiden Andrew and Luca James.