How Confident are Students in their Misconceptions about Hypothesis Tests?

References

• Allen, K., Reed Rhoads, T., and Terry, R. (2006). Work in progress: Assessing student confidence of introductory statistics concepts. In Frontiers in Education Conference, 36th Annual.
   Google Scholar
• Bandura, A. (1977). Self-efficacy. Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.
   PubMed Web of Science ®Google Scholar
• Batanero, C. (2000). Controversies around the role of statistical tests in experimental research. Mathematical thinking and learning (An international journal), 2(1 and 2), 75–97.
   Google Scholar
• Ben-Zvi, D. and Garfield, J. (2004). The challenge of developing statistical literacy, reasoning and thinking. The Netherlands: Kluwer Academic Publishers.
   Google Scholar
• Borovcnik, M. and Peard, R. (1996). Probability. In A.J. Bishop (Ed.), International Handbook of Mathematics Education (pp. 239–287). Dordrecht, The Netherlands: Kluwer Academic Publishers.
   Google Scholar
• Brewer, J. K. (1985). Behavioral statistics textbooks: Source of myths and misconceptions? Journal of Educational Statistics, 10(3), 252–268.
   Google Scholar
• Brophy, J. (2004). Motivating Students to Learn (2nd ed.). Mahwah (N.J.): Erlbaum.
   Google Scholar
• Castro Sotos, A. E., Vanhoof, S., Van den Noortgate, W., and Onghena, P. (2007). Students' misconceptions of statistical inference: A review of the empirical evidence from research on statistics education. Educational Research Review, 2(2), 98–113.
   Google Scholar
• Chance, B., delMas, R. C., and Garfield, J. (2004). Reasoning About Sampling Distributions. In D. Ben-Zvi and J. Garfield (eds.), The challenge of developing statistical literacy, reasoning and thinking (pp. 295–323). The Netherlands: Kluwer Academic Publishers.
   Google Scholar
• Choi, N. (2005). Self-efficacy and self-concept as predictors of college students' academic performance. Psychology in the Schools, 42(2), 197–205.
   Web of Science ®Google Scholar
• Chow, S. L. (1996). Statistical significance. London: SAGE Publications Ltd.
   Google Scholar
• Cohen, S., Smith, G., Chechile, R. A., Burns, G., and Tsai, F. (1996). Identifying impediments to learning probability and statistics from an assessment of instructional software. Journal of Educational and Behavioral Statistics, 21(1), 35–54.
   Web of Science ®Google Scholar
• Daniel, L. G. (1998). Statistical significance testing: A historical overview of misuse and misinterpretation with implications for the editorial policies of educational journals. Research in the Schools, 5(2), 23–32.
   Google Scholar
• delMas, R. C. (2001). Sampling SIM (Version 5) [Computer software].
   Google Scholar
• delMas, R. C., Garfield, J., Ooms, A., and Chance, B. (2007). Assessing students' conceptual understanding after a first course in statistics. Statistics Education Research Journal, 6(2), 28–58.
   Google Scholar
• Derry, S. J., Levin, J. R., Osana, H. P., Jones, M. S., and Peterson, M. (2000). Fostering students' statistical and scientific thinking: Lessons learned from an innovative college course. American Educational Research Journal, 37(3), 747–773.
   Web of Science ®Google Scholar
• Dutton, J. and Dutton, M. (2005). Characteristics and performance of students in an online section of business statistics. Journal of Statistics Education, 13(3).
   Google Scholar
• Eccles, J. S. and Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132.
   PubMed Web of Science ®Google Scholar
• Falk, R. (1986). Misconceptions of statistical significance. Journal of Structural Learning, 9, 83–96.
   Google Scholar
• Falk, R. and Greenbaum, C. W. (1995). Significance tests die hard. Theory and Psychology, 5(1), 75–98.
   Web of Science ®Google Scholar
• Finney, S. J. and Schraw, G. (2003). Self-efficacy beliefs in college statistics courses. Contemporary Educational Psychology, 28, 161–186.
   Web of Science ®Google Scholar
• Finzer, B. (2005). Fathom (Version 2) [Computer software]. Emeryville, CA: Key Curriculum Press.
   Google Scholar
• Garfield, J. (1993). Teaching statistics using small-group cooperative learning. Journal of Statistics Education, 1(1).
   Google Scholar
• Garfield, J. (2001). Evaluating the impact of educational reform in statistics: A survey of introductory statistics courses. Final Report for NSF Grant REC-9732404.
   Google Scholar
• Garfield, J. and Ben-Zvi, D. (2008). Developing Students' Statistical Reasoning: Connecting Research and Teaching Practice. Emeryville, CA: Springer.
   Google Scholar
• Giraud, G. (1997). Cooperative learning and statistics instruction. Journal of Statistics Education, 5(3).
   Google Scholar
• Gliner, J. A., Leech, N. L., and Morgan, G. A. (2002). Problems with null hypothesis significance testing (NHST): What do the textbooks say? The Journal of Experimental Education, 71(1), 83–92.
   Web of Science ®Google Scholar
• González, G. M. and Birch, M. A. (2000). Evaluating the instructional efficacy of computer-mediated interactive multimedia: Comparing three elementary statistics tutorial modules. Journal of Educational Computing Research, 22(4), 411–436.
   Web of Science ®Google Scholar
• Gordon, H. R. D. (2001). AVERA members' perceptions of statistical significance tests and other statistical controversies. Journal of Vocational Education Research, 26(2).
   Google Scholar
• Guzzetti, B. J., Snyder, T. E., Glass, G. V., and Gamas, W. S. (1993). Promoting conceptual change in science: A comparative meta-analysis of instructional interventions from reading education and science education. Reading Research Quarterly, 28(2), 116–159.
   Web of Science ®Google Scholar
• Haller, H. and Krauss, S. (2002). Misinterpretations of significance: A problem students share with their teachers? Methods of Psychological Research, 7(1), 1–20.
   Google Scholar
• Innabi, H. (1999). Students' judgment of the validity of societal statistical generalization. In Alan Rogerson (ed.), Proceedings of the International Conference on Mathematics Education into the 21st Century: Societal Challenges, Issues and Approaches. Cairo.
   Google Scholar
• Keeler, C. M. and Steinhorst, R. K. (1995). Using small groups to promote active learning in the introductory statistics course: A report from the field. Journal of Statistics Education, 3(2).
   Google Scholar
• Kirk, R. E. (2001). Promoting good statistical practices: some suggestions. Educational and Psychological Measurement, 61(2), 213–218.
   Web of Science ®Google Scholar
• Lecoutre, M.-P., Poitevineau, J., and Lecoutre, B. (2003). Even statisticians are not immune to misinterpretations of null hypothesis significance tests. International Journal of Psychology, 38(1), 37–45.
   Web of Science ®Google Scholar
• Liddell, M. J. and Davidson, S. K. (2004). Student attitudes and their academic performance: Is there any relationship? Medical Teacher, 26(1), 52–56.
   PubMed Web of Science ®Google Scholar
• Mittag, K. C. and Thompson, B. (2000). A national survey of AERA members' perceptions of statistical significance tests and other statistical issues. Educational Researcher, 29, 1420.
   Google Scholar
• Moore, D. S. (1997). New pedagogy and new content: The case of statistics. International statistical review, 65, 123–165.
   Web of Science ®Google Scholar
• Multon, K. D. and Brouwn, S. D. (1991). Relation of self-efficacy beliefs to academic outcomes: A meta-analytic investigation. Journal of Counseling Psychology, 38(1), 30–38.
   Web of Science ®Google Scholar
• National Council of Teachers of Mathematics (1989). Curriculum and Evaluation Standards for School Mathematics. Reston, VA: NCTM.
   Google Scholar
• National Council of Teachers of Mathematics (2000). Principles and standards for school mathematics. Reston, VA: NCTM.
   Google Scholar
• Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of Educational Research, 66(4), 543–578.
   Web of Science ®Google Scholar
• Rossman, A. J. and Chance, B. (2004). Anticipating and addressing student misconceptions. Presented at ARTIST Roundtable Conference, August, 2004.
   Google Scholar
• Schau, C., Dauphinee, T. L., Del Vecchio, A., and Stevens, J. (1999). Survey of attitudes toward statistics (SATS) [Online: http://www.unm.edu/∼cschau/downloadsats.pdf].
   Google Scholar
• Scheines, R., Leinhardt, G., Smith, J., and Cho, K. (2005). Replacing lecture with web-based course materials. Journal of Educational Computing Research, 32(1), 1–26.
   Google Scholar
• Schuyten, G., Dekeyser, H., and Goeminne, K. (1999). Towards an electronic independent learning environment for statistics in higher education. Education and Information Technologies, 4(4), 409–424.
   Google Scholar
• Shaughnessy, J. M. (2007). Research on statistics learning and reasoning. In F.K. Lester Jr. (ed.). Second handbook of research on mathematics teaching and learning (pp. 957–1009). Greenwich, CT: Information Age Publishing, Inc. and Charlotte, NC: NCTM.
   Google Scholar
• Smith III, J. P., diSessa, A. A., and Roschelle, J. (1993). Misconceptions reconceived: A constructivist analysis of knowledge in transition. The Journal of the Learning Sciences, 3(2), 115–163.
   Google Scholar
• Stajkovic, A. D. and Luthans, F. (1998). Self-efficacy and work-related performance: A meta-analysis. Psychological Bulletin, 124(2), 240–261.
   Web of Science ®Google Scholar
• Vallecillos, A. (2000). Understanding of the logic of hypothesis testing amongst university students. Journal for Didactics of Mathematics, 21, 101–123.
   Google Scholar
• Williams, A. M. (1998). Students' understanding of the significance level concept. In L. Pereira-Mendoza, L.S. Kea, T.W. Kee, and W. Wong (eds.), Proceedings of the 5th International Conference on Teaching Statistics (pp. 743–749). Voorburg, The Netherlands.
   Google Scholar