Integrative Statistics for the Social and Behavioral Sciences

Integrative Statistics for the Social and Behavioral Sciences

By: Gregory S. Francis (author), Renee R. Ha (author)Mixed Media

Up to 2 WeeksUsually despatched within 2 weeks


This bundle contains Renee R. Ha and James C. Ha's "Integrative Statistics for the Social and Behavioral Sciences" together with an individual access code for a STATLAB Online, the interactive online laboratory where students can generate and analyze their own statistical data.

About Author

Dr. Renee Ha received her Ph.D. in Psychology with a specialization in animal behavior from the University of Washington in 1999. She is currently on the faculty of the U.W. Department of Psychology. She has taught courses on statistics, introductory psychology, human development, and various animal behavior courses. She received a Distinguished Teaching Award from the Psychology Department in 1999. Her research interests primarily involve wild birds, including social behavior, foraging, and conservation. Greg Francis is a Professor of Psychological Sciences at Purdue University. He received his Ph.D. in Cognitive and Neural Systems from Boston University. He teaches undergraduate statistics for psychology students as well as selected other courses. His research focuses on mathematical models of visual perception. In 2003 Greg was awarded the teaching award for the psych department. He is the first author on Cog Lab (a saleable software product that is used in Cognition and research methods courses) which is now in version 2.0- 4th edition. CogLab consists of approximately 50 labs and is used in courses nationwide and internationally. It sells approximately 20,000+ copies each year. Greg has also published CogLab on a CD, CogLab Reading and Social Psychology Labs.

Product Details

  • ISBN13: 9781452203317
  • Format: Mixed Media
  • ID: 9781452203317
  • ISBN10: 1452203318

Delivery Information

  • Saver Delivery: Yes
  • 1st Class Delivery: Yes
  • Courier Delivery: Yes
  • Store Delivery: Yes

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