References
- Broers, N. J. (in press), “Selection and Use of Propositional Knowledge in Statistical Problem Solving,” Learning and Instruction.
- Bromage, B. K. and Mayer, R.E. (1981), “Relationship Between What is Remembered and Creative Problem-Solving Performance in Science Learning,” Journal of Educational Psychology, 73 (4), 451–461.
- Chance, B. L. (2000), “Components of Statistical Thinking and Implications for Instruction and Assessment,” Proceedings of the American Educational Research Association.
- Chervany, N., Collier, R., Fienberg, S., Johnson, P., and Neter, J. (1977), “A Framework for the Development of Measurement Instruments for Evaluating the Introductory Statistics Course,” The American Statistician, 31, 17–23.
- Chervany, N., Benson, P. G., and Iyer, R. (1980), “The Planning Stage in Statistical Reasoning,” The American Statistician, 34, 222–226.
- Chi, M., Feltovich, P. J., and Glaser, R. (1981), “Categorization and Representation of Physics Problems by Experts and Novices,” Cognitive Science, 5, 121–152.
- Chi, M., Bassok, M., Lewis, M. W., Reimann, P., and Glaser, R. (1989), “Self-Explanations: How Students Study and Use Examples in Learning to Solve Problems,” Cognitive Science, 18, 145–182.
- Clayden, A. D., and Croft, M. R. (1990), “Statistical Consultation - Who's the Expert?,” Proceedings of AI and Statistics 2, 65–76.
- Cobb, G. (1993), “Reconsidering Statistics Education: A National Science Foundation Conference,” Journal of Statistics Education [Online], 1 (1). (http://ww2.amstat.org/publications/jse/v1n1/cobb.html)
- Einhorn, H. J., and Hogarth, R. M. (1981), “Behavioral Decision Theory: Processes of Judgment and Choice,” Annual Review of Psychology, 32, 53–88.
- Garfield, J. B., and Gal, I. (1999), “Assessment and Statistics Education: Current Challenges and Directions,” International Statistical Review, 67, 1–12.
- Greer, B., and Semrau, G. (1984), “Investigating Psychology Students' Conceptual Problems in Relation to Learning Statistics,” Bulletin of the British Psychological Society, 37, 123–125.
- Hinsley, D., Hayes, J., and Simon, H. (1980), “From Words to Equations: Meaning and Representation in Algebra Word Problems,” in P. Carpenter and M. Just (eds.), Cognitive Processes in Comprehension. Hillsdale, NJ: Lawrence Erlbaum.
- Huberty, C. J., Dresden, J., and Byung-Gee, B. (1993), “Relations Among Dimensions of Statistical Knowledge,” Educational and Psychological Measurement, 53, 523–532.
- Kelly, A. E., Finbarr, S., and Whittaker, A. (1997), “Simple Approaches to Assessing Underlying Understanding of Statistical Concepts,” in I. Gal and J. B. Garfield (eds.), The Assessment Challenge in Statistics Education, Amsterdam: IOS Press.
- McNamarra, T. P. (1994), “Knowledge Representation,” in R. J. Sternberg (ed.), Thinking and Problem Solving, San Diego: Academic Press.
- Moore, D. S., and McCabe, G. P. (1999), Introduction to the Practice of Statistics, (3rd ed.) New York: Freeman.
- Newell, A., and Simon, H. A. (1972), Human Problem Solving, Englewood Cliffs, NJ: Prentice-Hall.
- Novak, J. D., and Gowin, D. B. (1984), Learning How to Learn, New York: Cambridge University Press.
- Schau, C., and Mattern, N. (1997), “Assessing Students' Connected Understanding of Statistical Relationships,” in I. Gal and J. B. Garfield (eds.), The Assessment Challenge in Statistics Education, Amsterdam: IOS Press.
- Sternberg, R. J. (1996), Cognitive Psychology, Fort Worth, TX: Harcourt Brace.
- Tversky, A., and Kahneman, D. (1974), “Judgment Under Uncertainty: Heuristics and Biases,” Science, 185, 1124–1131.
- Van Merrienboer, J. J. G. (1997), Training Complex Cognitive Skills, Englewood Cliffs, NJ: Educational Technology Publications.
- Weiser, M., and Shertz, J. (1983), “Programming Problem Representation in Novice and Expert Programmers,” International Journal of Man-Machine Studies, 19, 391–398.
- Wild, C. J., and Pfannkuch, M. (1999), “Statistical Thinking in Empirical Enquiry,” International Statistical Review, 67, 223–265.