Determinants of Perceived Learning and Satisfaction in Online Business Courses: An Extension to Evaluate Differences Between Qualitative and Quantitative Courses

References

• Arbaugh, J. B. (2000). How classroom environment and student engagement affect learning in Internet-based MBA courses. Business Communication Quarterly, 63(4), 9–26. doi:10.1177/108056990006300402
   Google Scholar
• Arbaugh, J. B. (2004). Learning to learn online: A study of perceptual changes between multiple online course experiences. The Internet and Higher Education, 7(3), 169–182. doi:10.1016/j.iheduc.2004.06.001
   Google Scholar
• Arbaugh, J. B. (2008). Instructors as facilitators of learner-learner interaction in third-generation learning environments. Industrial and Organizational Psychology, 1(4), 487–490. doi:10.1111/iops.2008.1.issue-4
   Google Scholar
• Arbaugh, J. B. (2013). Does academic discipline moderate CoI-course outcomes relationships in online MBA courses? The Internet and Higher Education, 17(April), 16–28. doi:10.1016/j.iheduc.2012.10.002
   Web of Science ®Google Scholar
• Arbaugh, J. B., & Benbunan-Fich, R. (2007). The importance of participant interaction in online environments. Decision Support Systems, 43(3), 853–865. doi:10.1016/j.dss.2006.12.013
   Web of Science ®Google Scholar
• Arbaugh, J. B., & Duray, R. (2002). Technological and structural characteristics, student learning and satisfaction with web-based courses: An exploratory study of two online MBA programs. Management Learning, 33(3), 331–347. doi:10.1177/1350507602333003
   Web of Science ®Google Scholar
• Arbaugh, J. B., Godfrey, M. R., Johnson, M., Pollack, B. L., Niendorf, B., & Wresch, W. (2009). Research in online and blended learning in the business disciplines: Key findings and possible future directions. The Internet and Higher Education, 12(2), 71–87. doi:10.1016/j.iheduc.2009.06.006
   Web of Science ®Google Scholar
• Arbaugh, J. B., & Hwang, A. (2006). Does “teaching presence” exist in online MBA courses? The Internet and Higher Education, 9(1), 9–21. doi:10.1016/j.iheduc.2005.12.001
   Google Scholar
• Arbaugh, J. B., & Rau, B. L. (2007). A study of disciplinary, structural, and behavioral effects on course outcomes in online MBA courses. Decision Sciences Journal of Innovative Education, 5(1), 65–95. doi:10.1111/dsji.2007.5.issue-1
   Google Scholar
• Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396–402. doi:10.2307/3150783
   Web of Science ®Google Scholar
• Bacon, D. R., & Hartley, S. W. (2015). Exploring antecedents of performance differences on visual and verbal test items: Learning styles versus aptitude. Marketing Education Review, 25(3), 205–214. doi:10.1080/10528008.2015.1044857
   Google Scholar
• Benbunan-Fich, R., & Arbaugh, J. B. (2006). Separating the effects of knowledge construction and group collaboration in learning outcomes of web-based courses. Information & Management, 43(6), 778–793. doi:10.1016/j.im.2005.09.001
   Web of Science ®Google Scholar
• Beqiri, M. S., Chase, N. M., & Bishka, A. (2010). Online course delivery: An empirical investigation of factors affecting student satisfaction. Journal of Education for Business, 85, 95–100. doi:10.1080/08832320903258527
   Google Scholar
• Biglan, A. (1973). The characteristics of subject matter in different academic areas. Journal of Applied Psychology, 57(3), 195–203. doi:10.1037/h0034701
   Web of Science ®Google Scholar
• Bristow, D., Shepherd, C. D., Humphreys, M., & Ziebell, M. (2011). To be or not to be: That isn’t the question! An empirical look at online versus traditional brick-and-mortar courses at the university level. Marketing Education Review, 21(3), 241–250. doi:10.2753/MER1052-8008210304
   Google Scholar
• Brower, H. H. (2003). On emulating classroom discussion in a distance-delivered OBHR Course: Creating an on-line learning community. Academy of Management Learning & Education, 2(1), 22–36. doi:10.5465/AMLE.2003.9324013
   Web of Science ®Google Scholar
• Chaparro-Pelaez, J., Iglesias-Pradas, S., Pascual-Miguel, F. J., & Hernandez-Garcia, A. (2013). Factors affecting perceived learning of engineering students in problem-based learning supported by business stimulation. Interactive Learning Environments, 21(3), 244–262. doi:10.1080/10494820.2011.554181
   Web of Science ®Google Scholar
• Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
   Google Scholar
• Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. doi:10.1037/0033-2909.112.1.155
   PubMed Web of Science ®Google Scholar
• Conaway, R. N., Easton, S. S., & Schmidt, W. V. (2005). Strategies for enhancing student interaction and immediacy in online courses. Business Communication Quarterly, 68(1), 23–35. doi:10.1177/1080569904273300
   Google Scholar
• Estelami, H. (2012). An exploratory study of the drivers of student satisfaction and learning experience in hybrid-online and purely online marketing courses. Marketing Education Review, 22(2), 143–156. doi:10.2753/MER1052-8008220204
   Google Scholar
• Eom, S. B. (2010). Relationships among e-learning systems and e-learning outcomes: A path analysis model. Human Systems Management, 30(4), 229–241.
   Google Scholar
• Eom, S., Ashill, N. J., Arbaugh, J. B., & Stapleton, J. L. (2012). The role of information technology in e-learning systems success. Human Systems Management, 31(3), 147–163.
   Google Scholar
• Eom, S. B., Wen, H. J., & Ashill, N. (2006). The determinants of students’ perceived learning outcomes and satisfaction in university online education: An empirical investigation. Decision Sciences Journal of Innovative Education, 4(2), 215–235. doi:10.1111/dsji.2006.4.issue-2
   Google Scholar
• Evans, J. R. (2001). The emerging role of the internet in marketing education: From traditional teaching to technology-based education. Marketing Education Review, 11(3), 1–14. doi:10.1080/10528008.2001.11488753
   Google Scholar
• Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. Akron, OH: University of Akron Press.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. doi:10.2307/3150980
   Web of Science ®Google Scholar
• Ganesh, G., Paswan, A., & Sun, Q. (2015). Are face-to-face classes more effective than online classes? An empirical examination. Marketing Education Review, 25(2), 67–81. doi:10.1080/10528008.2015.1029851
   Google Scholar
• Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101–107. doi:10.1093/biomet/61.1.101
   Web of Science ®Google Scholar
• Guidry, K. (2013). Predictors of student success in online courses: Quantitative versus qualitative subject matter. Journal of Instructional Pedagogies, 10, 1.
   Google Scholar
• Hair, Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2013). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage Publications.
   Google Scholar
• Hanna, M. D., & Barman, S. (2014). A blueprint for mass customisation in higher education. International Journal of Information and Operations Management Education, 5(4), 324–343. doi:10.1504/IJIOME.2014.067555
   Google Scholar
• Hornik, S., Sanders, C. S., Li, Y., Moskal, P. D., & Dziban, C. D. (2008). The impact of paradigm development and course level on performance in technology-mediated learning environments. Informing Science: The International Journal of an Emerging Transdiscipline, 11(January), 35–57.
   Google Scholar
• Horzum, M. B. (2015). Interaction, structure, social presence, and satisfaction in online learning. Eurasia Journal of Mathematics, Science & Technology Education, 11(3), 505–512.
   Web of Science ®Google Scholar
• Hung, M.-L., & Chou, C. (2015). Students’ perceptions of instructors’ roles in blended and online learning environments: A comparative study. Computers & Education, 81, 315–325. doi:10.1016/j.compedu.2014.10.022
   Web of Science ®Google Scholar
• LaPointe, D. K., & Gunawardena, C. N. (2004). Developing, testing, and refining of a model to understand the relationship between peer interaction and learning outcomes in computer-mediated conferencing. Distance Education, 25(1), 83–106. doi:10.1080/0158791042000212477
   Google Scholar
• Johnson, Z. S., Cascio, R., & Massiah, C. A. (2014). Explaining student interaction and satisfaction: An empirical investigation of delivery mode influence. Marketing Education Review, 24(3), 227–238. doi:10.2753/MER1052-8008240304
   Google Scholar
• Ladyshewsky, R. K. (2013). Instructor presence in online courses and student satisfaction. International Journal for the Scholarship of Teaching and Learning, 7(1). article 13. http://digitalcommons.georgiasouthern.edu/ij-sotl/vol7/iss1/13
   Google Scholar
• Mintu-Wimsatt, A., Ingram, K., Milward, M. A., & Russ, C. (2006). On different teaching delivery methods: What happens to instructor course evaluations? Marketing Education Review, 16(3), 49–57. doi:10.1080/10528008.2006.11488973
   Google Scholar
• Sandman, T. E. (2014). A preliminary investigation into the adaptive learning styles of business students. Decision Sciences Journal of Innovative Education, 12(1), 33–54. doi:10.1111/dsji.2014.12.issue-1
   Google Scholar
• Smith, P. A. (2001). Understanding self-regulated learning and its implications for accounting educators and researchers. Issues in Accounting Education, 16(4), 663–700.
   Google Scholar
• Smith, G. G., Heindel, A. J., & Torres-Ayala, A. T. (2008). E-learning commodity or community: Disciplinary differences between online courses. The Internet and Higher Education, 11(3), 152–159. doi:10.1016/j.iheduc.2008.06.008
   Web of Science ®Google Scholar
• So, H.-J., & Brush, T. A. (2008). Student perceptions of collaborative learning, social presence and satisfaction in a blended learning environment: relationships and critical factors. Computers & Education, 51(1), 318–336. doi:10.1016/j.compedu.2007.05.009
   Web of Science ®Google Scholar
• Steiner, S. D., & Hyman, M. R. (2010). Improving the student experience: allowing students enrolled in a required course to select online or face-to-face instruction. Marketing Education Review, 20(1), 29–34. doi:10.2753/MER1052-8008200105
   Google Scholar
• Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society. Series B (Methodological), 36(2), 111–147.
   Web of Science ®Google Scholar