A Guide to Teaching Statistics: Innovations and Best Practices addresses the critical aspects of teaching statistics to undergraduate students, acting as an invaluable tool for both novice and seasoned teachers of statistics.
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Michael R. Hulsizer is Associate Professor of Experimental Psychology at Webster University in St. Louis, Missouri, where he was honored with the prestigious William T. Kemper Award for Excellence in Teaching (2002). He has attended numerous National Institute on the Teaching of Psychology conferences and has won awards for posters presented at the conference. Michael has coauthored several teaching resources available at the Office of Teaching Resources in Psychology – Online. In addition, he recently contributed a chapter with Linda on incorporating diversity into research methods for Best Practices for Teaching Statistics and Research Methods in the Behavioral Sciences. Michael has also authored articles on mass violence, hate groups, and interpersonal aggression.
Linda M. Woolf is Professor of Experimental and Peace Psychology at Webster University. Linda is the recipient of several teaching awards including the 1988 Early Career Award from the Society for the Teaching of Psychology (Division 2, APA), Emerson Electric Excellence in Teaching Award (1990, 2000), and William T. Kemper Award for Excellence in Teaching (2000). She has authored numerous curriculum resources, book chapters, and journal articles concerning international psychology, peace psychology, mass violence, human rights, and research methods. Linda is Past-President of the Society for the Study of Peace, Conflict, and Violence (Division 48, APA) and former Secretary and Newsletter Editor for the Society for the Teaching of Psychology.
A Guide to Teaching Statistics: Innovations and Best Practices, by Michael R. Hulsizer and Linda M. Woolf, is an invaluable guide for both novice and seasoned teachers of statistics. Based on an extensive review of the research in fields such as education, health sciences, mathematics, statistics, psychology, and the social sciences, the book covers a range of statistics education and assessment topics. The book also includes novel classroom exercises, pedagogical tools, and computer applications designed to enhance active learning. Topics include descriptive, inferential, and multivariate statistics as well as the importance of using real data in the classroom, the role of ethics and diversity in statistics, and the effectiveness of online statistical education. The authors also provide extensive coverage of the research concerning statistical literacy, thinking, and reasoning.
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