Effect of Belief Bias on the Development of Undergraduate Students' Reasoning about Inference

References

• Alacaci, C. (2004). “Inferential statistics: Understanding expert knowledge and its implications for statistics education.” Journal of Statistics Education, 12 (2), http://ww2.amstat.org/publications/jse/v12n2/alacaci.html
   Google Scholar
• American Heart Association (2005). “Lyon Diet Heart Study.” [Online], (http://www.americanheart.org)
   Google Scholar
• American Statistical Association (2007). “Using Statistics Effectively in Mathematics Education Research.” [Online], ww2.amstat.org/research_grants/pdfs/SMERReport.pdf
   Google Scholar
• Bem, D. and Honorton, C. (1994). “Does psi exist? Replicable evidence for an anomalous process of information transfer,” Psychological Bulletin, 115 (1), 4–18.
   Web of Science ®Google Scholar
• Cobb, G. (1992). “Teaching Statistics,” In Heeding the Call for Change: Suggestions for Curricular Action, L. Steen (ed.). Washington, D.C: Mathematical Association of America, 3–43.
   Google Scholar
• delMas, R. (2004). “A comparison of mathematical and statistical reasoning,” In The Challenge of Developing Statistical Literacy, Reasoning and Thinking, Ben-Zvi, D. and Garfield, J. (eds.). The Netherlands: Kluwer Academic Publishers, 79–95.
   Google Scholar
• Evans, J. St. B. T., Barston, J. L. & Pollard, P. (1983). “On the conflict between logic and belief in syllogistic reasoning,” Memory & Cognition, 11, 295–306.
   PubMed Web of Science ®Google Scholar
• Evans, J. St B. T., Brooks, P. G., and Pollard, P. (1985). “Prior beliefs and statistical inference,” British Journal of Psychology, 76, 469–477.
   Web of Science ®Google Scholar
• Evans, J. St. B. T. and Newstead, S. (1995). “Creating a psychology of reasoning: The contribution of Peter Wason,” In Perspectives On Thinking and Reasoning: Essays in Honour of Peter Wason. Evans, J. St. B. T. and Newstead, S., (eds.). East Sussex, UK: Lawrence Erlbaum Associates, Ltd.
   Google Scholar
• GAISE (2006). “College Report of the Guidelines for Assessment and Instruction in Statistics Education Project,” [Online], http://ww2.amstat.org/education/gaise/GAISECollege.htm
   Google Scholar
• Hertwig, R. and Gigerenzer, G. (1999). “The ‘conjunction fallacy’ revisited: How intelligent inferences look like reasoning errors,” Journal of Behavioral Decision Making, 12 (4), 275–305.
   Web of Science ®Google Scholar
• Jordan, J. (2004). “The use of writing as both a learning and an assessment tool,” Presentation at ARTIST Roundtable Conference, [Online]. Lawrence University, Appleton, WI, http://www.rossmanchance.com/artist/Proctoc.html
   Google Scholar
• Kahneman, D. and Tversky, A. (1982). On the study of statistical intuitions. Cognition, 11, 123–141.
   PubMed Web of Science ®Google Scholar
• Kaplan, J. J. (2006). Factors in Statistics Learning: Developing a dispositional attribution model to describe differences in the development of statistical proficiency. Unpublished Doctoral Dissertation. [Online], http://www.stat.auckland.ac.nz/~iase/publications/dissertations/06.Kaplan.Dissertation.pdf
   Google Scholar
• Koehler, J. (1993). “The influence of prior beliefs on scientific judgments of evidence quality,” Organizational Behavior and Human Decision Processes, 56, 28–55.
   Web of Science ®Google Scholar
• Kuhn, D. (2001). “How do people know?” Psychological Science, 12 (1), 1–8.
   PubMed Web of Science ®Google Scholar
• National Research Council, (2003). Learning and Instruction: A SERP Research Agenda, [Online] eds. Donovan, M. S. and Pellegrino, J. W., Washington, D.C.: National Academy Press, http://www.nap.edu/openbook/0309090814/html/index.html
   Google Scholar
• National Research Council, (1996). National Science Education Standards: National Committee on Science Education Standards and Assessment [Online], Washington, D.C. : National Academy Press, http://books.nap.edu/catalog/4962.html
   Google Scholar
• Ramsey, F. and Schafer, D. (2002). The Statistical Sleuth: A Course in Methods of Data Analysis, second edition, U.S.A. : Thomson Learning, Inc.
   Google Scholar
• Sloman, S. (1996). “The empirical case for two systems of reasoning,” Psychological Bulletin, 119 (1), 3–22.
   Web of Science ®Google Scholar
• Stanovich, K. (1999). Who Is Rational: Studies of Individual Differences in Reasoning, Mahwah, N.J.: Lawrence Erlbaum Associates, Inc.
   Google Scholar
• Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases. Science, 185(4157), 1124–1131.
   PubMed Web of Science ®Google Scholar
• Wild, C.J. and Pfannkuch, M. (1999). “Statistical thinking in empirical enquiry,” International Statistical Review, 67(3), 223–265.
   Web of Science ®Google Scholar