Psychology of Academic Cheating

Elsevier Science and Technology, November 2006, Pages: 352

Who cheats and why? How do they cheat? What are the consequences? What are the ways of stopping it before it starts? These questions and more are answered in this research based investigation into the nature and circumstances of Academic Cheating. Cheating has always been a problem in academic settings, and with advances in technology (camera cell phones, the internet) and more pressure than ever for students to test well and get into top rated schools, cheating has become epidemic. At the same time, it has been argued, the moral fiber of society as a whole has dampened to find cheating less villainous than it was once regarded. Who cheats? Why do they cheat? and Under what circumstances?

The Psychology of Academic Cheating looks at personality variables of those likely to cheat, but also the circumstances that make one more likely than not to try cheating. Research on the motivational aspects of cheating, and what research has shown to prevent cheating is discussed across different student populations, ages and settings.

Summarizes 50 years of academic cheating trends in K-12 and postsecondary institutions
Examines the methodology of academic cheating including the effect of new technologies
Reviews and discusses existing theories and research about the motivation behind academic cheating

Part I: The Anatomy of Cheaters
Part II: Achievement Motivation and Cheating
Part III: Moral and Social Motivations for Dishonesty
Part IV: Prevention and Detection of Cheating

Anderman, Eric M.
Murdock, Tamera B.

Customers who bought this item also bought

• The Market for Primary Cells & Stem Cell-Derived Cells: Current and Future Opportunities
• Ulcerative Colitis: KOL Insights on Treatment Practices and Unmet Needs
• Open source software in life science research: Practical solutions to common challenges in the pharmaceutical industry and beyond
• DNA Sequencing - Technologies, Markets and Companies
• China Pharmaceutical & Biotechnology Review
• A Quick Guide to Clinical Trials for People Who May Not Know It All
• Data Mining for Genomics and Proteomics. Analysis of Gene and Protein Expression Data. Wiley Series on Methods and Applications in Data Mining
• Recalibrating Goals Can Lead to Better Outcomes in Academic/Industry Biomarker and Diagnostics Collaborations
• Dried Blood Spots Part 2
• HIV/AIDS – The Jennings Report: Redefining the Size, Scope, and Scale of the AIDS Epidemic by Forensic Review of the Medical Literature