Predictors of exam performance in Web and lecture courses

  • Sara A. Brallier
  • Linda J. Palm
  • Robin M. Gilbert


THE FIRST OBJECTIVE OF THIS RESEARCH was to compare the demographic and academic profiles of introductory sociology students who completed Web-based courses (n=62) to those who completed traditional lecture-based courses (n=77). The second objective was to determine the extent to which demographic variables (age, gender, and race), academic variables (high school grade point average, and verbal and quantitative Scholastic Assessment Test scores) differentially predicted exam performance in the two learning environments. The demographic and academic profiles of students in the two learning environments were similar, with the exception of racial composition. The Web-based courses had a significantly lower percentage of racial minorities than the lecture-based courses. Hierarchical regression analysis indicated that race was a significant predictor of exam performance in the Web-based courses but not in the lecture-based courses. The implications of the findings and the need for further investigation regarding differential racial enrollment rates and academic success in Web-based courses are discussed


Web-based courses distance learning predictors of academic performance digital divide 


  1. Alstete, J., & Beutell, N. (2004). Performance indicators in online distance learning courses: A study of management education.Quality Assurance in Education, 12(1), 6–14.CrossRefGoogle Scholar
  2. Banerjee, M., & Brinckerhoff, L.C. (2002). Assessing student performance in distance education courses: Implications for testing accommodations for students with learning disabilities.Assessment for Effective Intervention, 27(3), 25–35.CrossRefGoogle Scholar
  3. Bernard, R.M., Abrami, P.C., Lou, Y., Borokhovski, E., Wade, A., Wozney, L., Wallet, P., Fiset, M., & Huang, B. (2004). How does distance education compare with classroom instruction? A meta-analysis of the empirical literature.Review of Educational Research, 74 (3), 379–439.CrossRefGoogle Scholar
  4. Brown, B.W., & Liedholm, C.E. (2002). Can Web courses replace the classroom in Principles of Microeconomics?The American Economic Review, 92(2), 444–448.CrossRefGoogle Scholar
  5. Brunner, C. (1991, March). Gender and distance learning.The Annals of the American Academy of Political and Social Science, 514, 133–145.CrossRefGoogle Scholar
  6. Cheng, H., Lehman, J., & Armstrong, P. (1991). Comparison of performance and attitude in traditional and computer conferencing classes.The American Journal of Distance Education, 5(3), 51–64.CrossRefGoogle Scholar
  7. Collins, J., & Pascarella, E.T. (2003). Learning on campus and learning at a distance: A randomized instructional experiment.Research in Higher Education, 44(3), 315–326.CrossRefGoogle Scholar
  8. de Montes, L.S.S., Oran, S.M., & Willis, E.M. (2002). Power, language, and identity: Voices from an online course.Computers and Composition, 19(3), 251–271.CrossRefGoogle Scholar
  9. Digilio, A.H. (1998). Web-based instruction adjusts to the individual needs of adult learners.Journal of Instruction Delivery Systems, 12(4), 26–28.Google Scholar
  10. Eastmond, D. (1998, Summer). Adult learners and Internet-based distance education.New Directions for Adult and Continuing Education, 78, 33–41.CrossRefGoogle Scholar
  11. Halsne, A.M., & Gatta, L.A. (2002). Online versus traditionally-delivered instruction: A descriptive study of learner characteristics in a community college setting.Online Journal of Distance Learning Administration, V(I), 1–14. Retrieved March 2, 2005, from≈distance/stats.htmlGoogle Scholar
  12. Henslin, J. (2005).Sociology: A down-to-earth approach (7th ed.). Boston, MA: Allyn and Bacon.Google Scholar
  13. Keith, T.Z. (2006).Multiple regression and beyond. Boston, MA: Allyn and Bacon.Google Scholar
  14. Leasure, A.R., Davis, L., & Thievon, S.L. (2000). Comparison of student outcomes and preferences in a traditional vs. World Wide-Web-based baccalaureate nursing research course.Journal of Nursing Education, 39(4), 149–154.Google Scholar
  15. Lu, J., Yu, C., & Liu, C. (2003). Learning style, learning patterns, and learning performance in a Web-CT based MIS course.Information & Management, 40(6), 497–507.CrossRefGoogle Scholar
  16. MacGregor, C.J. (2002). Personality differences between online and face-to-face students.Journal of Continuing Higher Education, 50(3), 14–23.Google Scholar
  17. Maki, R.H., & Maki, W.S. (2003). Prediction of learning and satisfaction in online and lecture courses.Journal of Educational Computing Research, 28(3), 187–219.CrossRefGoogle Scholar
  18. Maki, R.H., Maki, W.S., Patterson, M., & Whittaker, P.D. (2000). Evaluation of a Web-based introductory psychology course: learning and satisfaction in online versus lecture courses.Behavior Research Methods, Instrument, & Computers, 32(2), 230–239.Google Scholar
  19. Phipps, R., & Merisotis, J. (1999). What's the difference? A review of contemporary research on the effectiveness of distance learning in higher education. Retrieved July 15, 2005, from theINSTITUTE for Higher Education Policy Web site: http://www.ihep.comGoogle Scholar
  20. Poirier, C.R., & Feldman, R.S. (2004). Teaching in cyberspace: Online versus traditional instruction using a waiting-list experimental design.Teaching of Psychology, 31(1), 59–64.CrossRefGoogle Scholar
  21. Rivera, J.C., & Rice, M.L. (2002). A comparison of student outcomes and satisfaction between traditional & Web-based course offerings.Online Journal of Distance Learning Administration, V(III), 1–12.Google Scholar
  22. Roblyer, M.D. (1999). Is choice important in distance learning? A study of student motives for taking Internet-based courses at the high school and community college levels.Journal of Research on Computing in Education, 32(1), 157–171.Google Scholar
  23. Russell, T. (1999).The no significant difference phenomenon. Raleigh, NC: Instructional Telecommunications, North Carolina State University.Google Scholar
  24. Saba, F. (2000, July 1). Why is there no “significant difference” between face-to-face and distance education?Distance Education Report, 4(13), 1–4.Google Scholar
  25. Sampson, N. (2003). Meeting the needs of distance learners.Language, Learning, and Technology, 7(3), 103–126.Google Scholar
  26. Schutte, J. (2004).Virtual teaching in higher education: The new intellectual superhighway or just another traffic jam? Retrieved May 27, 2005, from the California State University, Northridge Sociology Department Web Site: Scholar
  27. Shachar, M., & Neumann, Y. (2003, October). Differences between traditional and distance education academic performances: A meta-analytic approach.International Review of Research in Open and Distance Learning, 1–19. Retrieved January 10, 2006, from Scholar
  28. Wang, A.Y., & newlin, M.H. (2002). Predictors of Web-student performance: The role of self-efficacy and reasons for taking an on-line class.Computers in Human Behavior, 18(2), 151–163.CrossRefGoogle Scholar
  29. Warschauer, M. (1999).Electronic literacies: Language, culture, and power in online education. Mahwah, New Jersey: Lawrence Erlbaum Associates, Inc.Google Scholar
  30. Waschull, S.B. (2001). The online delivery of psychology courses: Attrition, performance, and evaluation.Teaching of Psychology, 28(2), 143–147.CrossRefGoogle Scholar
  31. White, S.E. (1999, April).The effectiveness of Web-based instruction: A case study. Paper presented at the Joint Meeting of the Central States Communication Association and the Southern States Communication Association, St. Louis, MO.Google Scholar

Copyright information

© Springer 2007

Authors and Affiliations

  • Sara A. Brallier
    • 1
  • Linda J. Palm
    • 2
  • Robin M. Gilbert
    • 2
  1. 1.Sociology DepartmentCoastal Carolina UniversityConway
  2. 2.Psychology DepartmentCoastal Carolina UniversityConway

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