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Articles

Statistical Literacy—Misuse of Statistics and Its Consequences

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Pages 54-62 | Published online: 04 Feb 2021

References

  • Bauer, T., Gigerenzer, G., and Krämer, W. (2014), Warum dick nicht doof macht und Genmais nicht tötet: Über Risiken und Nebenwirkungen der Unstatistik, Frankfurt/New York: Campus Publishing.
  • Bergstrom, C. T., and West, J. D. (2020), Calling Bullshit: The Art of Skepticism in a Data-Driven World, New York: Random House.
  • Chance, B. L., and Rossman, A. J. (2001), “Sequencing Topics in Introductory Statistics: A Debate on What to Teach When,” The American Statistician, 55, 140–144. DOI: 10.1198/000313001750358626.
  • Christensen, B. (2019), “Anforderungen an eine Statistik-Ausbildung im 21. Jahrhundert vor dem Hintergrund von Statistical (Il-)Literacy,” AStA Wirtschafts- und Sozialstatistisches Archiv, 13, 193–201. DOI: 10.1007/s11943-019-00263-7.
  • Christensen, B., and Christensen, S. (2016), “No Benefit in Seeing a Dark Future?—On Recent Findings on the Effects of Forecasting Life Satisfaction,” Journal of Individual Differences, 37, 201–205. DOI: 10.1027/1614-0001/a000200.
  • de Koning, H. J., van der Aalst, C. M., de Jong, P. A., Scholten, E. T., Nackaerts, K., Heuvelmans, M. A., Lammers, J. W. J., Weenink, C., Yousaf-Khan, U., Horeweg, N., and van’t Westeinde, S. (2020), “Reduced Lung-Cancer Mortality With Volume CT Screening in a Randomized Trial,” New England Journal of Medicine, 382, 503–513. DOI: 10.1056/NEJMoa1911793.
  • Francois, K., Monteiro, C., and Allo, P. (2020), “Big-Data Literacy as a New Vocation for Statistical Literacy,” Statistics Education Research Journal, 19, 194–205.
  • GAISE College Report ASA Revision Committee (2016), “Guidelines for Assessment and Instruction in Statistics Education College Report 2016,” available at http://www.amstat.org/education/gaise.
  • Gal, I. (2002), “Adults’ Statistical Literacy: Meanings, Components, Responsibilities,” International Statistical Review, 70, 1–25. DOI: 10.1111/j.1751-5823.2002.tb00336.x.
  • Gal, I. (2003), “Teaching for Statistical Literacy and Services of Statistics Agencies,” The American Statistician, 57, 80–84.
  • Galesic, M., and Garcia-Retamero, R. (2010), “Statistical Numeracy for Health: A Cross-Cultural Comparison With Probabilistic National Samples,” Archives of Internal Medicine, 170, 462–468. DOI: 10.1001/archinternmed.2009.481.
  • Giovannini, E. (2008), “Statistics and Politics in a ‘Knowledge Society’,” Social Indicators Research, 86, 177–200. DOI: 10.1007/s11205-007-9137-z.
  • Gundlach, E., Richards, K. A. R., Nelson, D., and Levesque-Bristol, C. (2015), “A Comparison of Student Attitudes, Statistical Reasoning, Performance, and Perceptions for Web-Augmented Traditional, Fully Online, and Flipped Sections of a Statistical Literacy Class,” Journal of Statistics Education, 23, 1–33. DOI: 10.1080/10691898.2015.11889723.
  • Gunter, M. J., Murphy, N., Cross, A. J., Dossus, L., Dartois, L., Fagherazzi, G., Kaaks, R., Kühn, T., Boeing, H., Aleksandrova, K., and Tjønneland, A. (2017), “Coffee Drinking and Mortality in 10 European Countries—A Multinational Cohort Study,” Annals of Internal Medicine, 167, 236–247. DOI: 10.7326/M16-2945.
  • Hahs-Vaughn, D. L., Acquaye, H., Griffith, M. D., Jo, H., Matthews, K., and Acharya, P. (2017), “Statistical Literacy as a Function of Online Versus Hybrid Course Delivery Format for an Introductory Graduate Statistics Course,” Journal of Statistics Education, 25, 112–121. DOI: 10.1080/10691898.2017.1370363.
  • Hughes, K. C., Gao, X., Kim, I. Y., Wang, M., Weisskopf, M. G., Schwarzschild, M. A., and Ascherio, A. (2017), “Intake of Dairy Foods and Risk of Parkinson Disease,” Neurology, 89, 46–52. DOI: 10.1212/WNL.0000000000004057.
  • Jacobsmeier, M. L., and Lewis, D. C. (2013), “Barking Up the Wrong Tree: Why Bo Didn’t Fetch Many Votes for Barack Obama in 2012,” PS: Political Science & Politics, 46, 49–59.
  • Jousilahti, P., Tuomilehto, J., Vartiainen, E., Eriksson, J. and Puska, P. (2000), “Relation of Adult Height to Cause-Specific and Total Mortality: A Prospective Follow-Up Study of 31,199 Middle-Aged Men and Women in Finland,” American Journal of Epidemiology, 151, 1112–1120. DOI: 10.1093/oxfordjournals.aje.a010155.
  • Kadijevich, D. M., and Stephens, M. (2020), “Modern Statistical Literacy, Data Science, Dashboards, and Automated Analytics and Its Applications,” The Teaching of Mathematics, XXIII, 71–80.
  • Karan, A., Rosenthal, R., and Robbins, M. L. (2019), “Meta-analytic Evidence That We-Talk Predicts Relationship and Personal Functioning in Romantic Couples,” Journal of Social and Personal Relationships, 36, 1–28. DOI: 10.1177/0265407518795336.
  • Krämer, W., Schüller, K., and Quatember, A. (2019), “Vorwort zum Sonderheft “Statistical Literacy” des Wirtschafts- und Sozialstatistischen Archivs,” AStA Wirtschafts- und Sozialstatistisches Archiv, 13, 189–191. DOI: 10.1007/s11943-019-00265-5.
  • Lang, F. R., Weiss, D., Gerstorf, D. and Wagner, G. G. (2013), “Forecasting Life Satisfaction Across Adulthood: Benefits of Seeing a Dark Future? Psychology and Aging, 28, 249–261. DOI: 10.1037/a0030797.
  • Love, T. E., and Hildebrand, D. K. (2002), “Statistics Education and the Making Statistics More Effective in Schools of Business Conferences,” The American Statistician, 56, 107–112. DOI: 10.1198/000313002317572772.
  • Lovett, M. C., and Greenhouse, J. B. (2000), “Applying Cognitive Theory to Statistics Instruction,” The American Statistician, 54, 196–206.
  • Moore, D. S. (2001), “Undergraduate Programs and the Future of Academic Statistics,” The American Statistician, 55, 1–6. DOI: 10.1198/000313001300339860.
  • Mutz, D. C. (2010), “The Dog That Didn’t Bark: The Role of Canines in the 2008 Campaign,” PS: Political Science & Politics, 43, 707–712.
  • Redelmeier, D. A., May, S. C., Thiruchelvam, D., and Barrett, J. F. (2014), “Pregnancy and the Risk of a Traffic Crash,” CMAJ, 186, 742–750. DOI: 10.1503/cmaj.131650.
  • Redelmeier, D. A., and Singh, S. M. (2001), “Survival in Academy Award–Winning Actors and Actresses,” Annals of Internal Medicine, 134, 955–962. DOI: 10.7326/0003-4819-134-10-200105150-00009.
  • Rumsey, D. J. (2002), “Statistical Literacy as a Goal for Introductory Statistics Courses,” Journal of Statistics Education, 10, 1–12. DOI: 10.1080/10691898.2002.11910678.
  • Salas-Salvadó, J., Bulló, M., Estruch, R., Ros, E., Covas, M. I., Ibarrola-Jurado, N., Corella, D., Arós, F., Gómez-Gracia, E., Ruiz-Gutiérrez, V., and Romaguera, D. (2014), “Prevention of Diabetes With Mediterranean Diets,” Annals of Internal Medicine, 160, 1–10. DOI: 10.7326/M13-1725.
  • Scheibehenne, B., Mata, J., and Richter, D. (2019), “Accuracy of Food Preference Predictions in Couples,” Appetite, 133, 344–352. DOI: 10.1016/j.appet.2018.11.021.
  • Sharma, S. (2017), “Definitions and Models of Statistical Literacy: A Literature Review,” Open Review of Educational Research, 4, 118–133. DOI: 10.1080/23265507.2017.1354313.
  • St. Clair, K., and Chihara, L. (2012), “Team-Based Learning in a Statistical Literacy Class,” Journal of Statistics Education, 20, 1–20. DOI: 10.1080/10691898.2012.11889633.
  • Sylvestre, M.-P., Huszti, E., and Hanley, J. A. (2006), “Do Oscar Winners Live Longer Than Less Successful Peers?—A Reanalysis of the Evidence,” Annals of Internal Medicine, 145, 361–363. DOI: 10.7326/0003-4819-145-5-200609050-00009.
  • Valentini, A., Carbonara, M., and De Candia, G. (2018), “Promoting Statistical Literacy to University Students: A New Approach Adopted by Istat,” in Studies in Theoretical and Applied Statistics (Vol. 227), eds. C. Perna, M. Pratesi, and A. Ruiz-Gazen, Cham: Springer, pp. 231–238.
  • Veser, P., Taylor, K., and Singer, S. (2015), “Diet, Authoritarianism, Social Dominance Orientation, and Predisposition to Prejudice: Results of a German Survey,” British Food Journal, 117, 1949–1960. DOI: 10.1108/BFJ-12-2014-0409.
  • Watson, J., and Callingham, R. (2020), “COVID-19 and the Need for Statistical Literacy,” Australian Mathematics Education Journal, 2, 16.