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Black Belt Statistics: A Competency-Based Approach (Plus SPSS and R) - Couverture souple

Sawyer, Thomas; Nebl, Patrick; Notari, Catrina; Hollis-Sawyer, Lisa

 
9798823399920: Black Belt Statistics: A Competency-Based Approach (Plus SPSS and R)

Synopsis

This textbook clearly communicates statistical competencies to students, allows for practice and evaluation, and arranges competencies in a hierarchy. It employs a martial arts-inspired belt system, awarding students new achievement ranks after they've demonstrated mastery of key concepts. The second edition includes revisions throughout the text, updated images in Chapters 12 and 13, a new pedagogical feature in each chapter called Blackbelt Challenge Questions, and a new contributing author, Catrina Notari.

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À propos des auteurs

Thomas Sawyer has over two decades of experience teaching psychology statistics and research methods at the undergraduate and graduate level. His research examining or utilizing research methods has been shared via conference presentations and peer-reviewed publications.

Patrick Nebl is an associate professor of psychology at Elmhurst University. He received his master's and Ph.D. degrees in experimental neuroscience from Bowling Green State University.

Catrina Notari is an assistant professor of psychology at the University of West Florida. She holds a Ph.D. in industrial and organizational psychology from Montclair State University.

Lisa Hollis-Sawyer is an associate professor of psychology and an instructor in women's studies and public health at Northeastern Illinois University. She has taught research methodology and statistics courses at the undergraduate and graduate levels since 1990 at various educational institutions.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.