Skip to main content
Log in

Correlates of student performance in Business and Economics Statistics

  • Published:
Journal of Economics and Finance Aims and scope Submit manuscript

Abstract

Over the years many studies have been done to investigate the determinants of student performance in courses of particular fields of study. However, this is not true of Introduction to Business and Economics Statistics. Our objective is to identify the correlates of student performance both overall, and on individual exams, in an Introduction to Business and Economics Statistics course. A wide variety of variables are found to significantly influence the performance of students, including their grades on previous exams and examination design. Our results indicate that it is important to isolate performance on individual exams.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Allison, D.E.; D.C. Thomas. “Item-Difficulty Sequence in Achievement Examinations: Examinees Preference and Test Taking Strategies.”Psychological Reports. 59 (2. Part 2), 1986: 867–870.

    Google Scholar 

  • Bach, G.L.; P. Saunders. “Economic Education: Aspirations and Achievements.”American Economic Review, 55(3), 1965: 329–356.

    Google Scholar 

  • Becker, W.E. “Building Theoretical Models.” InEconometric Modeling in Economic Education Research. ed. W.E. Becker and W.B. Walstad, Kluwer, Boston. 1987a: 19–26.

    Google Scholar 

  • Becker, W.E. “Measuring Intervention, Interaction, and Distribution Effects with Dummy Variables.” InEconometric Modeling in Economic Education Research. ed. W.E. Becker and W.B. Walstad, Kluwer, Boston, 1987b: 27–50.

    Google Scholar 

  • Becker, W.E.. “Teaching Statistical Methods to Undergraduate Economics Students.”AEA Papers and Proceedings, 77 (2), 1987c: 18–23.

    Google Scholar 

  • Bonello, F.J.; T.R. Swartz; W.I. Davisson. “Freshmen-Sophomore Learning Differentials: A Comment.”J. of Econ. Education, 15(3), 1984: 205–210.

    Article  Google Scholar 

  • Brasfield, D.W.; D.E. Harrison; J.P. McCoy. “The Impact of High School Economics on the College Principles of Economics Course,”J. of Econ. Education, 24(2), 1993: 99–111.

    Article  Google Scholar 

  • Bresnock, A.E.; P.E. Graves; N. White. “Multiple-Choice Testing: Question and Response Position,”J. of Econ. Education, 20(3), 1989: 239–45.

    Article  Google Scholar 

  • Caudill, S.B.; D.M. Gropper. “Test Structure. Human Capital, and Student Performance on Economics Exams,”J. of Econ. Education, 22(4), 1991: 303–6.

    Article  Google Scholar 

  • Durden, G.C.; L.V. Ellis “The Effects of Attendance on Student Learning in Principles of Economics.”AEA Papers and Proceedings, 85(2), 1995: 343–6.

    Google Scholar 

  • Gohmann, S.F.; L.C. Spector. “Test Scrambling and Student Performance,”J. of Economic Education. 20(3), 1989: 235–8.

    Article  Google Scholar 

  • Hanke, J.E.; A.G. Reitsch.Fundamentals of Business Stastics. Charles and Merrill Pub., Columbus, Ohio. 1986.

    Google Scholar 

  • Hanushek, E.A.. “Conceptual and Empirical Issues in the Estimation of Educational Production Functions.”Jour. of Human Resources, 14(3), 1979: 351–388.

    Article  Google Scholar 

  • Hanushek, E.A.Education and Race D.C. Health Lexington, Mass. 1972.

    Google Scholar 

  • Heath, J.A. “An Econometric Model of the Role of Gender in Economic Education,”AEA Papers and Proceedings, 79(2), 1989: 226–230.

    Google Scholar 

  • Karstensson, L.; R.K. Vedder. “A note on Attitude as a Factor in Learning Economics,”J. of Econ. Education, 5(1), 1974): 109–111.

    Article  Google Scholar 

  • Laband, D.N.; M.J. Piette. “Does Who Teaches Principles of Economics Matter?”AEA Papers and Proceedings, 85(2), 1995: 335–8.

    Google Scholar 

  • Lawson, D.L.. “The Role of Attitude in Learning Economics: Race and Gender Differences”J. of Economics and Finance, 18(2), 1994: 139–152.

    Article  Google Scholar 

  • Leary, L.F.; N.J. Dorans. “Implications for Altering the Context in which test Items Appear: A Historical Perspective on an Immediate Concern,”Review of Educational Research, 55(3), 1985): 387–413.

    Google Scholar 

  • Lumsden, K.G.; A. Scott. “The Economics Student Reexamined: Male-Female Differences in Comprehension,”J. of Econ. Education, 18(4), 1987: 365–375.

    Article  Google Scholar 

  • MacDowell, M.A.; P.R. Senn; J.C. Soper. “Does Sex Really Matter?,”J. of Economic Education, 9(1), 1977): 28–33.

    Article  Google Scholar 

  • MaxWell, Nan L.; Jane S. Lopus. “The Lake Wobegon Effect in Student Self-Reported Data,”AEA Papers and Proceedings. 84(2), 1994: 201–205.

    Google Scholar 

  • Myatt, A.; C. Waddell. “An Approach to Testing the Effectiveness of the Teaching and Learning of Economics in High School,”J. of Econ. Education. 21(3), 1990: 355–63.

    Article  Google Scholar 

  • Reid, R.. “A Note on the Environment as a Factor Affecting Student Performance in Principles of Economics,”J. of Econ. Education, 14(4), 1983: 18–22.

    Article  Google Scholar 

  • Romer, D.. “Do Students Go to Class? Should They?,”Journal of Economic, Perspectives, 7(3), 1993: 167–174.

    Google Scholar 

  • Siegfried, J.J.; R. Fels. “Research on Teaching College Economics: A Survey,”Journal of Economic Literature. XVII(3) 1979: 923–969.

    Google Scholar 

  • Swan, C. “Simultaneous Equations Estimation.” InEconometric Modeling in Economic Education Research. ed. W.E. Becker and W.B. Walstad, Kluwer, Boston, 1987: 99–109.

    Google Scholar 

  • Taub, A.J.; E.B. Bell. “A Bias in Scores on Multiple-Form Exams.”J. of Econ. Education., 7(1), 1975:58–9.

    Article  Google Scholar 

  • Walstad, W.B. “Applying Two-Stage Least Squares,” InEconometric Modeling in Economic Education Research, ed. W.E. Becker and W.B. Walstad. Kluwer. Boston, 1987:111–134.

    Google Scholar 

  • Zellner, Arnold. “An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias.”Journal of the American Statistical Association, 57(298), 1962: 348–368.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Krieg, R.G., Uyar, B. Correlates of student performance in Business and Economics Statistics. J Econ Finance 21, 65–74 (1997). https://doi.org/10.1007/BF02929040

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02929040

Keywords

Navigation