5,591
Views
5
CrossRef citations to date
0
Altmetric
Reforming Institutions: Changing Publication Policies and Statistical Education

Content Audit for p-value Principles in Introductory Statistics

, , &

References

  • ASA/MAA Joint Committee on Undergraduate Statistics (JCUS) (2014), “Qualifications for Teaching an Introductory Statistics Course.”, American Statistical Association and Mathematical Association of America Joint Committee on Undergraduate Statistics, available at amstat.org/asa/files/pdfs/EDU-TeachingIntroStats-Qualifications.pdf.
  • Batanero, C. (2000), “Controversies Around the Role of Statistical Tests in Experimental Research,” Mathematical Thinking and Learning, 2, 75–97. DOI: 10.1207/S15327833MTL0202_4.
  • Berry, D. A. (2016), “P-Values Are Not What They’re Cracked Up to Be, Online Discussion: ASA Statement on Statistical Significance and P-values,” The American Statistician, 70, 1–2.
  • Carver, R., Everson, M., Gabrosek, J., Horton, N., Lock, R., Mocko, M., Rossman, A., Rowell, G.H., Velleman, P., Witmer, J., and Wood, B. (2016), “Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report 2016,” American Statistical Association, available at amstat.org/education/gaise.
  • Cobb, G. W. (2007). “The Introductory Statistics Course: A Ptolemaic Curriculum?” Technology Innovations in Statistics Education, 1, 1–16, available at escholarship.org/uc/item/6hb3k0nz
  • Cobb, G. W. “ASA Statement on P-Values: Two Consequences We Can Hope For,” Online Discussion: Official Supplement to ASA Statement on Statistical Significance and P-values,” The American Statistician, 70, 1.
  • DelMas, G., Joan, G., Ooms, A., and Chance, B. (2007), “Assessing Students’ Conceptual Understanding After a First Course in Statistics,” Statistics Education Research Journal, 6, 28–58.
  • Dewey, J. (1933), How We Think: A Restatement of the Relation of Reflective Thinking to the Educative Process, New York: D.C. Heath.
  • Falk, R., and Greenbaum, C. W. (1995), “Significance Tests Die Hard: The Amazing Persistence of a Probabilistic Misconception,” Theory & Psychology, 5, 75–98. DOI: 10.1177/0959354395051004.
  • Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S. N., and Altman, D. G. (2016), “Statistical Tests, P-values, Confidence Intervals, and Power: A Guide to Misinterpretations,” European Journal of Epidemiology, 31, 337–350. DOI: 10.1007/s10654-016-0149-3.
  • Goodman, S. N. (2016), “The Next Questions: Who, What, When, Where, and Why? Online Discussion: Official Supplement to ASA Statement on Statistical Significance and P-values.” The American Statistician, 70, 1–2.
  • Garfield, J., and Ben-Zvi, D. (2008), Developing Students’ Statistical Reasoning: Connecting Research and Teaching Practice, Berlin: Springer Science & Business Media.
  • Harradine, A., Batanero, C., and Rossman, A. (2011), Students and Teachers Knowledge of Sampling and Inference in Teaching Statistics in School Mathematics—Challenges for Teaching and Teacher Education. A Joint ICMI/IASE Study: The 18th ICMI Study, New York: Springer.
  • Ioannidis, J. P. (2005), “Why Most Published Research Findings are False,” PLoS Medicine, 2, e124. DOI: 10.1371/journal.pmed.0020124.
  • Millar, M. (2016), “ASA Statement on P-values: Some Implications for Education. Online Discussion: Official Supplement to ASA Statement on Statistical Significance and P-values,” The American Statistician, 70, 1.
  • Nickerson, R. S. (2004), Cognition and Chance: The Psychology of Probabilistic Reasoning, New York, NY: Psychology Press.
  • Open Science Collaboration (2015), “Estimating the Reproducibility of Psychological Science,” Science, 349, aac4716.
  • Rossman, A. J. (2008), “Reasoning about Informal Statistical Inference: One Statistician’s View,” Statistics Education Research Journal, 7, 5–19.
  • Stangl, D. (2016), “Comment. Online Discussion: Official Supplement to ASA Statement on Statistical Significance and P-values,” The American Statistician, 70, 1.
  • Wasserstein, R. L., and Lazar, N. A. (2016), “ASA Statement on P-values: Context, Process, and Purpose,” The American Statistician, 70, 129–133. DOI: 10.1080/00031305.2016.1154108.
  • Weir, K. (2015), “A Reproducibility Crisis? The Headlines Were Hard to Miss: Psychology, They Proclaimed, is in Crisis,” Monitor on Psychology, 46, 39.
  • Williams, A. M. (1999), “Novice Students’ Conceptual Knowledge of Statistical Hypothesis Testing,” in Making the Difference: Proceedings of the Twenty-Second Annual Conference of the Mathematics Education Research Group of Australasia, 554–560.