The State of Statistics Education Research in Client Disciplines: Themes and Trends Across the University

References

• Aliaga, M., Cobb, G., Cuff, C., Garfield, J., Gould, R., Lock, R., Moore, T., Rossman, A., Stephenson, B., Utts, J., Velleman, P., and Witmer, J. (2005), “GAISE College Report,” American Statistical Association.
   Google Scholar
• Angra, A., and Gardner, S. M. (2017), “Reflecting on Graphs: Attributes of Graph Choice and Construction Practices in Biology,” CBE Life Sciences Education, 16, 1–15, DOI: 10.1187/cbe.16-08-0245.
   Web of Science ®Google Scholar
• Barlow, P. B., Skolits, G., Heidel, R. E., Metheny, W., and Smith, T. L. (2015), “Development of the Biostatistics and Clinical Epidemiology Skills (BACES) Assessment for Medical Residents,” Postgraduate Medical Journal, 91, 423–430, DOI: 10.1136/postgradmedj-2014-133197.
   PubMed Web of Science ®Google Scholar
• Becker, W. E., and Greene, W. H. (2001), “Teaching Statistics and Econometrics to Undergraduates,” Journal of Economic Perspectives, 15, 169–182. DOI: 10.1257/jep.15.4.169.
   Web of Science ®Google Scholar
• Carlin, J. B. (2016), “Comment: Is Reform Possible Without a Paradigm Shift?,” The American Statistician, 1. DOI: 10.1080/00031305.2016.1154108.
   Google Scholar
• Carlson, K., and Winquist, J. (2011), “Evaluating an Active Learning Approach to Teaching Introductory Statistics: A Classroom Workbook Approach,” Journal of Statistics Education, 19, 1–23. DOI: 10.1080/10691898.2011.11889596.
   Google Scholar
• Carsey, T. M., and Harden, J. J. (2015), “Can You Repeat That Please? Using Monte Carlo Simulation in Graduate Quantitative Research Methods Classes,” Journal of Political Science Education, 11, 94–107, DOI: 10.1080/15512169.2014.998093.
   Web of Science ®Google Scholar
• Carver, R. H., Everson, M. G., Gabrosek, J., Horton, N., Lock, R., Mocko, M., Rossman, A., Roswell, G. H., Velleman, P., Witmer, J., and Wood, B. (2016), “Guidelines for Assessment and Instruction in Statistics Education: College Report,” American Statistical Association.
   Google Scholar
• Case, C., Battles, M., and Jacobbe, T. (2019), “Toward an Understanding of p-Values: Simulation-Based Inference in a Traditional Statistics Course,” Investigations in Mathematics Learning, 11, 195–206, DOI: 10.1080/19477503.2018.1438869.
   Google Scholar
• Charmaz, K. (2006), Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis, London: SAGE Publications.
   Google Scholar
• Cheesman, K., French, D., Cheesman, I., Swails, N., and Thomas, J. (2007), “Is There Any Common Curriculum for Undergraduate Biology Majors in the 21st Century?,” BioScience, 57, 516–522. DOI: 10.1641/B570609.
   Web of Science ®Google Scholar
• Chew, P. K. H., and Dillon, D. B. (2014), “Statistics Anxiety Update: Refining the Construct and Recommendations for a New Research Agenda,” Perspectives on Psychological Science, 9, 196–208, DOI: 10.1177/1745691613518077.
   Web of Science ®Google Scholar
• Cobb, G. (1993), “Teaching Statistics,” in Heeding the Call for Change, MAA Notes No. 22, ed. L. Steen, Washington, DC: Mathematical Association of America, pp. 3–34.
   Google Scholar
• Colon-Berlingeri, M., and Burrowes, P. A. (2011), “Teaching biology through statistics: Application of statistical methods in genetics and zoology courses,” CBE Life Sciences Education, 10(3), 259–267. DOI: 10.1187/cbe.10-11-0137.
   PubMed Web of Science ®Google Scholar
• DeCesare, M. (2007), “Statistics Anxiety” Among Sociology Majors: A First Diagnosis and Some Treatment Options,” Teaching Sociology, 35, 360–367. DOI: 10.1177/0092055X0703500405.
   Web of Science ®Google Scholar
• Delia Deckard, N. M. (2017), “Statistics Education for Undergraduate Sociology Majors: Survey Findings Across Institutions,” Numeracy, 10, 8, DOI: 10.5038/1936-4660.10.2.8.
   Google Scholar
• DelMas, R. C., Garfield, J. B., Ooms, A., and Chance, B. L. (2007), “Assessing Students’ Conceptual Understanding After a First Course in Statistics,” Statistics Education Research Journal, 6, 28–58.
   Google Scholar
• Doehler, K., Taylor, L., and Smith, J. (2013), “A Study of Faculty Views of Statistics and Student Preparation Beyond an Introductory Class,” Journal of Statistics Education, 21, 1–21, 11889657. DOI: 10.1080/10691898.2013.
   Google Scholar
• Epstein, I., Mina, E. E. S., Gaudet, J., Singh, M. D., and Gula, T. (2011), “Teaching Statistics to Undergraduate Nursing Students: An Integrative Review to Inform Our Pedagogy,” International Journal of Nursing Education Scholarship, 8(1), 1–17. DOI: 10.2202/1548-923X.2234.
   Google Scholar
• Feild, C., Belgado, B., Dougherty, J., Doering, P., and Gong, Y. (2015), “The Use of Application-Based Learning Techniques in a College of Pharmacy-Based Biostatistics Course,” Currents in Pharmacy Teaching and Learning, 7, 599–605, DOI: 10.1016/j.cptl.2015.06.021.
   Web of Science ®Google Scholar
• Garfield, J., Hogg, B., Schau, C., and Whittinghill, D. (2002), “First Courses in Statistical Science: The Status of Educational Reform Efforts,” Journal of Statistics Education, 10(2), 1–14. DOI: 10.1080/10691898.2002.11910665.
   Google Scholar
• Giuliano, C. A., and Moser, L. R. (2016), “Evaluation of a Flipped Drug Literature Evaluation Course,” American Journal of Pharmaceutical Education, 80, 66, DOI: 10.5688/ajpe80466.
   PubMed Web of Science ®Google Scholar
• Goldstein, J., and Flynn, D. F. B. (2011), “Integrating Active Learning & Quantitative Skills Into Undergraduate Introductory Biology Curricula,” The American Biology Teacher, 73, 454–461, DOI: 10.1525/abt.2011.73.8.6.
   Web of Science ®Google Scholar
• Gould, R. (2010), “Statistics and the Modern Student,” International Statistical Review, 78, 297–315, DOI: 10.1111/j.1751-5823.2010.00117.x.
   Web of Science ®Google Scholar
• Hagen, B., Awosoga, O., Kellett, P., and Dei, S. O. (2013), “Evaluation of Undergraduate Nursing Students’ Attitudes Towards Statistics Courses, Before and After a Course in Applied Statistics,” Nurse Education Today, 33, 949–955, DOI: 10.1016/j.nedt.2012.11.005.
   PubMed Web of Science ®Google Scholar
• Hagen, B., Awosoga, O. A., Kellett, P., and Damgaard, M. (2013), “Fear and Loathing: Undergraduate Nursing Students’ Experiences of a Mandatory Course in Applied Statistics,” International Journal of Nursing Education Scholarship, 10, 27–34, DOI: 10.1515/ijnes-2012-0044.
   Google Scholar
• Haughton, J., and Kelly, A. (2015), “Student Performance in an Introductory Business Statistics Course: Does Delivery Mode Matter?,” Journal of Education for Business, 90, 31–43, DOI: 10.1080/08832323.2014.968518.
   Web of Science ®Google Scholar
• Hayat, M. (2014), “Guidelines for Assessment and Instruction in Statistics Education (GAISE): Extending GAISE Into Nursing Education,” Journal of Nursing Education, 53, 192–198. DOI: 10.3928/01484834-20140325-01.
   PubMed Web of Science ®Google Scholar
• Hedges, S., and Harkness, S. S. (2017), “Is GAISE Evident? College Students’ Perceptions of Statistics Classes as ‘Almost Not Math’,” Statistics Education Research Journal, 16, 337–356.
   Google Scholar
• Henrich, A., and Lee, K. (2011), “Reducing Math Anxiety: Findings From Incorporating Service Learning Into a Quantitative Reasoning Course at Seattle University,” Numeracy, 4, 9, DOI: 10.5038/1936-4660.4.2.9.
   Google Scholar
• Hildreth, L. A., Robison-Cox, J., and Schmidt, J. (2018), “Comparing Student Success and Understanding in Introductory Statistics Under Consensus and Simulation-Based Curricula,” Statistics Education Research Journal, 17, 103–120.
   Google Scholar
• Kiekkas, P., Panagiotarou, A., Malja, A., Tahirai, D., Zykai, R., Bakalis, N., and Stefanopoulos, N. (2015), “Nursing Students’ Attitudes Toward Statistics: Effect of a Biostatistics Course and Association With Examination Performance,” Nurse Education Today, 35, 1283–1288, DOI: 10.1016/j.nedt.2015.07.005.
   PubMed Web of Science ®Google Scholar
• Lachal, J., Revah-Levy, A., Orri, M., and Moro, M. R. (2017), “Metasynthesis: An Original Method to Synthesize Qualitative Literature in Psychiatry,” Frontiers in Psychiatry, 8, 269, DOI: 10.3389/fpsyt.2017.00269.
   PubMed Web of Science ®Google Scholar
• Macher, D., Paechter, M., Papousek, I., Ruggeri, K., Freudenthaler, H. H., and Arendasy, M. (2013), “Statistics Anxiety, State Anxiety During an Examination, and Academic Achievement,” British Journal of Educational Psychology, 83, 535–549, DOI: 10.1111/j.2044-8279.2012.02081.x.
   PubMed Web of Science ®Google Scholar
• Macheski, G. E., Lowney, K. S., Buhrmann, J., and Bush, M. E. L. (2008), “Overcoming Student Disengagement and Anxiety in Theory, Methods, and Statistics Courses by Building a Community of Learners,” Teaching Sociology, 36, 42–48. DOI: 10.1177/0092055X0803600106.
   Web of Science ®Google Scholar
• Malik, S. (2015), “Undergraduates’ Statistics Anxiety: A Phenomenological Study,” The Qualitative Report, 20, 120–133.
   Web of Science ®Google Scholar
• Martin, L. R. (2011), “Teaching Business Statistics in a Computer Lab: Benefit or Distraction?,” Journal of Education for Business, 86, 326–331, DOI: 10.1080/08832323.2010.529958.
   Google Scholar
• Maurer, K., and Lock, D. (2016), “Comparison of Learning Outcomes for Simulation-Based and Traditional Inference Curricula in a Designed Educational Experiment,” Technology Innovations in Statistics Education, 9, 1–20. DOI: 10.5811/westjem.2011.5.6700.
   Google Scholar
• McAlevey, L., Everett, A., and Sullivan, C. (2001), “Evolution in Business Statistics Curricula: Learning From the “Making Statistics More Effective in Schools of Business” Conference,” Journal of the Royal Statistical Society, Series D, 50(3), 321–333. DOI: 10.1111/1467-9884.00281.
   Web of Science ®Google Scholar
• McKenzie, J. (1996), “Required and Elective Statistics Courses for MBA Students,” in 11th Annual Conference Making Statistics Effective in Schools of Business, Anchorage.
   Google Scholar
• McLauchlan, C., and Schonlau, M. (2017), “Statistical Literacy in the Classroom: Should Introductory Statistics Courses Rethink their Goals?,” Statistics, Politics and Policy, 7, 99–115, DOI: 10.1515/spp-2017-0001.
   Google Scholar
• McShane, B. B., and Gal, D. (2016), “Blinding Us to the Obvious? The Effect of Statistical Training on the Evaluation of Evidence,” Management Science, 62, 1707–1718, DOI: 10.1287/mnsc.2015.2212.
   Web of Science ®Google Scholar
• Metz, A. M. (2008), “Teaching statistics in biology: Using inquiry-based learning to strengthen understanding of statistical analysis in biology laboratory courses,” CBE Life Sciences Education. DOI: 10.1187/cbe.07-07-0046.
   PubMed Web of Science ®Google Scholar
• Neumann, D. L., Hood, M., and Neumann, M. M. (2009), “Statistics? You Must Be Joking: The Application and Evaluation of Humor When Teaching Statistics,” Journal of Statistics Education, 17, 1–16. DOI: 10.1080/10691898.2009.11889525.
   PubMedGoogle Scholar
• Nguyen, T. H., Newby, M., and Skordi, P. G. (2015), “Development and Use of an Instrument to Measure Students’ Perceptions of a Business Statistics Learning Environment in Higher Education,” Learning Environments Research, 18, 409–424, DOI: 10.1007/s10984-015-9192-3.
   Google Scholar
• Nonis, S. A., and Hudson, G. I. (1999), “The Second Course in Business Statistics and Its Role in Undergraduate Marketing Education,” Journal of Marketing Education, 21, 232–241, DOI: 10.1177/0273475399213008.
   Google Scholar
• Onwuegbuzie, A. J., and Wilson, V. A. (2003), “Statistics Anxiety: Nature, Etiology, Antecedents, Effects, and Treatments—A Comprehensive Review of Literature,” Teaching in Higher Education, 8, 195–209. DOI: 10.1080/1356251032000052447.
   Google Scholar
• Oster, R. A., Lindsell, C. J., Welty, L. J., Mazumdar, M., Thurston, S. W., Rahbar, M. H., Carter, R. E., Pollock, B. H., Cucchiara, A. J., Kopras, E. J., Jovanovic, B. D., and Enders, F. T. (2015), “Assessing Statistical Competencies in Clinical and Translational Science Education: One Size Does Not Fit All,” Clinical and Translational Science, 8, 32–42, DOI: 10.1111/cts.12204.
   PubMed Web of Science ®Google Scholar
• Overholser, B. R., and Sowinski, K. M. (2010), “Development and Student Evaluation of an Introductory Biostatistics Course as a Required Course in the Doctor of Pharmacy Curriculum,” Currents in Pharmacy Teaching and Learning, 2, 171–179, DOI: 10.1016/j.cptl.2010.04.006.
   Google Scholar
• Palocsay, S. W., and Stevens, S. P. (2008), “A Study of the Effectiveness of Web-Based Homework in Teaching Undergraduate Business Statistics,” Decision Sciences Journal of Innovative Education, 6, 213–232, DOI: 10.1111/j.1540-4609.2008.00167.x.
   Google Scholar
• Parker, L. C., Gleichsner, A. M., Adedokun, O. A., and Forney, J. (2016), “Targeting change: Assessing a Faculty Learning Community Focused on Increasing Statistics Content in Life Science Curricula,” Biochemistry and Molecular Biology Education, 44, 517–525, DOI: 10.1002/bmb.20974.
   PubMed Web of Science ®Google Scholar
• Parker, N., Fry, E., Garfield, J., and Zieffler, A. (2017), “Graduate Teaching Assistants’ Beliefs, Practices, and Preparation for Teaching Introductory Statistics,” Statistics Education Research Journal, 16, 294–319.
   Google Scholar
• Paxton, P. (2006), “Dollars and Sense: Convincing Students That They Can Learn and Want to Learn Statistics,” Teaching Sociology, 34, 65–70. DOI: 10.1177/0092055X0603400106.
   Web of Science ®Google Scholar
• Phelps, A. L., and Szabat, K. A. (2017), “The Current Landscape of Teaching Analytics to Business Students at Institutions of Higher Education: Who Is Teaching What?,” The American Statistician, 71, 155–161, DOI: 10.1080/00031305.2016.1277160.
   Web of Science ®Google Scholar
• Pike, D. L., Ciabattari, T., Messineo, M., Monson, R. A., Salam, R. A., Wagenaar, T. C., Chin, J., Ferguson, S. J., Weigers Vitullo, M., Archer, P., Atkinson, M. P., Ballantine, J. H., Calhoun, T. C., England, P., Erickson, R. J., Hunt, A. N., Lowney, K. S., Maurer, S. B., Senter, M. S., and Sweet, S. (2017), The Sociology Major in the Changing Landscape of Higher Education: Curriculum, Careers, and Online Learning, Washington, DC: American Sociological Association.
   Google Scholar
• Remsburg, A. J., Harris, M. A., and Batzli, J. M. (2014), “Statistics Across the Curriculum Using an Iterative, Interactive Approach in an Inquiry-Based Lab Sequence,” Journal of College Science Teaching, 44(2), 72–81. DOI: 10.2505/4/jcst14_044_02_72.
   Google Scholar
• Schau, C., Stevens, J., Dauphinee, T. L., and Del Vecchio, A. (1995), “The Development and Validation of the Survey of Attitudes Toward Statistics,” Educational and Psychological Measurement, 55, 868– 875. DOI: 10.1177/0013164495055005022.
   Web of Science ®Google Scholar
• Schlotter, N. E. (2013), “A Statistics Curriculum for the Undergraduate Chemistry Major,” Journal of Chemical Education, 90, 51–55, DOI: 10.1021/ed300334e.
   Web of Science ®Google Scholar
• Silge, J., and Robinson, D. (2016), “tidytext: Text Mining and Analysis Using Tidy Data Principles in R,” The Journal of Open Source Software, 1, 37, DOI: 10.21105/joss.00037.
   Google Scholar
• Slootmaeckers, K., Kerremans, B., and Adriaensen, J. (2014), “Too Afraid to Learn: Attitudes Towards Statistics as a Barrier to Learning Statistics and to Acquiring Quantitative Skills,” Politics, 34, 191–200, DOI: 10.1111/1467-9256.12042.
   Web of Science ®Google Scholar
• Strauss, A., and Corbin, J. (1998), Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (2nd ed.), Thousand Oaks, CA, US: Sage Publications, Inc.
   Google Scholar
• Taylor, M. F. (2010), “Making Biology Teaching More “Graphic,” The American Biology Teacher, 72, 568–570, DOI: 10.1525/abt.2010.72.9.9.
   Web of Science ®Google Scholar
• Thompson, E. D., Bowling, B. V., Whitson, M., and Naczi, R. F. (2011), “Engaging Students in Natural Variation in the Introductory Biology Laboratory via a Statistics-based Inquiry Approach,” The American Biology Teacher, 73, 100–104, DOI: 10.1525/abt.2011.73.2.8.
   Web of Science ®Google Scholar
• Tintle, N., Chance, B., Cobb, G., Roy, S., Swanson, T., and VanderStoep, J. (2015), “Combating Anti-Statistical Thinking Using Simulation-Based Methods Throughout the Undergraduate Curriculum,” The American Statistician, 69, 362–370, DOI: 10.1080/00031305.2015.1081619.
   Web of Science ®Google Scholar
• Tishkovskaya, S., and Lancaster, G. (2012), “Statistical Education in the 21st Century: A Review of Challenges, Teaching Innovations and Strategies for Reform,” Journal of Statistics Education, 20, 1–4. DOI: 10.1080/10810730150501413.
   Google Scholar
• Trafimow, D., and Marks, M. (2015), “Editorial,” Basic and Applied Social Psychology, 37, 1–2, DOI: 10.1080/01973533.2015.1012991.
   Web of Science ®Google Scholar
• Vanderklein, D., Munakata, M., and McManus, J. (2016), “Crossing Boundaries in Undergraduate Biology Education,” Journal of College Science Teaching, 45, 41–47. DOI: 10.2505/4/jcst16_045_03_41.
   Google Scholar
• Wasserstein, R. L., and Lazar, N. A. (2016), “The ASA’s Statement on p-Values: Context, Process, and Purpose,” The American Statistician, 70, 129–133, DOI: 10.1080/00031305.2016.1154108.
   Web of Science ®Google Scholar
• Watkins, J. C. (2010), “On a Calculus-based Statistics Course for Life Science Students,” CBE—Life Sciences Education, 9, 298–310, DOI: 10.1187/cbe.10.
   PubMed Web of Science ®Google Scholar
• White, P., and Gorard, S. (2017), “Against Inferential Statistics: How and Why Current Statistics Teaching Gets It Wrong,” Statistics Education Research Journal, 16, 55–65.
   Google Scholar