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Original and Applied Research

A three question math quiz: Who is ready to learn finance?

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References

  • Akimov, A., Kobinger, S., & Malin, M. (2018). Determinants of student success in finance courses. Journal of Financial Education, 44(2), 223–245. https://www.jstor.org/stable/26775505.
  • Ames, A. J., & Samonte, K. (2015). Using SAS PROC MCMC for item response theory models. Educational and Psychological Measurement, 75(4), 585–609. doi:10.1177/0013164414551411
  • Ames, A., & Smith, E. (2018). Subjective priors for item response models: Application of elicitation by design. Journal of Educational Measurement, 55(3), 373–402. doi:10.1111/jedm.12184
  • Association to Advance Collegiate Schools of Business (AACSB). (2020). 2020 Guiding principles and standards for business accreditation. In AACSB International. Retrieved from https://www.aacsb.edu/accreditation/standards/business.
  • Baker, F. B., & Kim, S.-H. (2017). The basics of item response theory using R. Springer. Retrieved from doi:10.1007/978-3-319-54205-8
  • Braun, N. M. (2004). Critical thinking in the business curriculum. Journal of Education for Business, 79(4), 232–236. doi:10.1080/08832323.2020.12088718
  • Bredthauer, J., & Fendler, R. (2016). Predictors of success in an online undergraduate core course in finance. Journal of Economics and Finance Education, 15(1), 101–111.
  • Cho, S.-J., Partchev, I., & De Boeck, P. (2012). Parameter estimation of multiple item response profile model. The British Journal of Mathematical and Statistical Psychology, 65(3), 438–466. doi:10.1111/j.2044-8317.2011.02036.x
  • de la Torre, J., & Hong, Y. (2010). Parameter estimation with small sample size a higher-order IRT model approach. Applied Psychological Measurement, 34(4), 267–285. doi:10.1177/0146621608329501
  • de la Torre, J., & Patz, R. J. (2005). Making the most of what we have: A practical application of multidimensional item response theory in test scoring. Journal of Educational and Behavioral Statistics, 30(3), 295–311. doi:10.3102/10769986030003295
  • Delaney, C. J., Rich, S. P., & Rose, J. T. & others. (2016). A paradox within the time value of money: A critical thinking exercise for finance students. American Journal of Business Education, 9(2), 83–86. doi:10.19030/ajbe.v9i2.9638
  • Desai, M. S., Berger, B. D., & Higgs, R. (2016). Critical thinking skills for business school graduates as demanded by employers: A strategic perspective and recommendations. Academy of Educational Leadership Journal, 20(1), 10–31. https://www.abacademies.org/articles/aeljvol20n01.pdf.
  • Didia, D., & Hasnat, B. (1998). The determinants of performance in the university introductory finance course. Financial Practice and Education, 8(1), 102–107.
  • Eraker, B. (2001). MCMC analysis of diffusion models with application to finance. Journal of Business & Economic Statistics, 19(2), 177–191. doi:10.1198/073500101316970403
  • Fields, L. P. (2013). Mandatory prerequisite testing and performance in intermediate corporate finance. Journal of Financial Education, 39(1/2), 29–42. https://www.jstor.org/stable/41948696.
  • Grover, G., Heck, J., & Heck, N. (2009). Pretest in an introductory finance course: Value added? Journal of Education for Business, 85(2), 64–67. doi:10.1080/08832320903252405
  • Hambleton, R. K., & Gruijter, D. N. M. (1983). Application of item response models to criterion-referenced test item selection. Journal of Educational Measurement, 20(4), 355–367. doi:10.1111/j.1745-3984.1983.tb00213.x
  • Hart Research Associates. (2018). Fulfilling the American Dream: Liberal Education and the Future of Work: Selected Findings from Online Surveys of Business Executives and Hiring Managers. Washington, DC: Hart Research Associates. http://hdl.voced.edu.au/10707/473448
  • Hunt, S. C. (2015). Research on the value of AACSB business accreditation in selected areas: A review and synthesis. American Journal of Business Education (AJBE), 8(1), 23–30. doi:https://doi.org/10.19030/ajbe.v8i1.9014
  • Lai, M. M., Kwan, J. H., Kadir, H. A., Abdullah, M., & Yap, V. C. (2009). Effectiveness, teaching, and assessments: Survey evidence from finance courses. Journal of Education for Business, 85(1), 21–29. doi:10.1080/08832320903217556
  • Link, W. A., & Eaton, M. J. (2012). On thinning of chains in MCMC. Methods in Ecology and Evolution, 3(1), 112–115. doi:10.1111/j.2041-210X.2011.00131.x
  • Lusardi, A., & Mitchell, O. S. (2011). Financial literacy around the world: An overview. Journal of Pension Economics & Finance, 10(4), 497–508. doi:10.1017/S1474747211000448
  • McNeish, D. (2017). Fitting residual error structures for growth models in SAS PROC MCMC. Educational and Psychological Measurement, 77(4), 587–612. doi:10.1177/0013164416652441
  • Peach, B. E., Mukherjee, A., & Hornyak, M. (2007). Assessing critical thinking: A college’s journey and lessons learned. Journal of Education for Business, 82(6), 313–320. doi:10.3200/JOEB.82.6.313-320
  • Pritchard, R. E., Romeo, G. C., & Saccucci, M. S. (2000). Quantitative skills and performance in principles of finance: Evidence from a regional university. Financial Practice and Education, 10(2), 167–174. https://fmai.memberclicks.net/journal-of-applied-finance?servId=7686#v10i1.
  • Ross, M. M., & Wright, A. M. (2020a). Know math or take a bath on a finance final exam. Journal of Economics and Finance Education, 19(1), 51–69. https://economics-finance.org/jefe/issues/JEFE-Vol-19-Num-1-Summer-2020.pdf.
  • Ross, M. M., & Wright, A. M. (2020b). Quantitative skill and introductory finance: Does ability dominate attitude? Journal of Financial Education, 46(2), 193–220. doi:10.2139/ssrn.3298186
  • Santos, M. R., Hu, A., & Jordan, D. (2014). Incorporating multiple-choice questions into an AACSB assurance of learning process: A course-embedded assessment application to an introductory finance course. Journal of Education for Business, 89(2), 71–76. doi:10.1080/08832323.2012.757542
  • Sargent, C. S. (2013). Find it, fix it, and thrive: The impact of insisting on proficiency in prerequisite knowledge in intermediate accounting. Issues in Accounting Education, 28(3), 581–597. doi:10.2308/iace-50456
  • Sen, S., Joyce, P., Farrell, K., & Toutant, J. (1997). Performance in principles of finance courses by students with different specializations. Financial Practice and Education, 7(2), 66–73.
  • Verhofen, M. (2005). Markov chain Monte Carlo methods in financial econometrics. Financial Markets and Portfolio Management, 19(4), 397–405. doi:10.1007/s11408-005-6459-1
  • Wheeling, B. M., Miller, D. S., & Slocombe, T. E. (2015). Assessment at AACSB schools: A survey of deans. Journal of Education for Business, 90(1), 44–49. doi:10.1080/08832323.2014.973824
  • White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica, 48(4), 817–838. doi:10.2307/1912934
  • Wieting, E. (1962). Vitalizing business math. The Journal of Business Education, 37(5), 187–188. doi:10.1080/08832323.1962.10116479
  • Woodside, J. M. (2020). A meta-analysis of AACSB program learning goals. Journal of Education for Business, 95(7), 425–431. doi:10.1080/08832323.2019.1678002

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