Preference Based Analysis on Online Course Structure of Research Methodology Using Conjoint Method

Authors

  • Sanjib Kumar Gupta Department of Statistics, Sarsuna College, University of Calcutta, Kolkata, India

DOI:

https://doi.org/10.51983/ajsat-2022.11.1.3203

Keywords:

Research Methodology, Online, Questionnaire, Conjoint Analysis, Logistic Regression

Abstract

Global pandemic Covid- 19 has played a major role in increasing demand of online courses. Blackboards and white screens are gradually shifted to mobile and laptop screens. The e-learning becomes indispensable part in the academic arena. Courses on research methodology are most popular on online platform as research scholars and faculties from different institutions may got involved to their desirable option without facing much trouble of transportation. This paper tries to find out the preference of research fraternity of social science streams while they choose any research methodology course through online. Responses have been gathered using Google form from 1447 researchers of social science streams. Conjoint analysis has been performed to investigate what combination among different levels of attributes a researcher prefers while choosing any research methodology course. Order of attributes has been assigned based on their importance. Logistic regression has been performed to find out the demographic and socio-economic factors that influence the attributes.

References

E. Babbie, The Practice of Social Research, 3rd edn, Belmont, CA: Wadsworth Publishing Company, 1983.

J. M. Carey, K. R. Carman, K. P. Clayton, Y. Horiuchi, M. Htun and B. Ortiz, “Who wants to hire a more diverse faculty? A conjoint analysis of faculty and student preferences for gender and racial/ethnic diversity,” Politics, Groups, and Identities, pp. 1-19, 2018.

J. D. Carroll, and P. E. Green, “Psychometric Methods in Marketing Research: Part I, Conjoint Analysis,” Journal of Marketing Research, Vol. 32, pp. 385-391, 1995.

D. Conrad, “Situating Prior learning assessment and recognition (Plar) in an online learning environment,” The theory and practice of online learning, Vol. 75, 2008.

E. Dźwigoł, “Scientific research methodology in management sciences,” Seria: Organizacja I Zarządzaniez, Vol. 118, pp. 117-134, 2018.

J. Fox, “Applied Regression Analysis, Linear Models, and Related Methods,” Thousand Oaks, CA: Sage, 1997.

D. Gökhan and A. Buket, “An Examination through Conjoint Analysis of the Preferences of Students Concerning Online Learning Environments According to Their Learning Styles,” International Education Studies, Vol. 5, No. 4, pp. 122-138, 2012. DOI: 10.5539/ies.v5n4p122.

P. E. Green, and A. M. Krieger, “Using Conjoint Analysis to View Competitive Interaction through the Customer‘s Eyes,” G. S. Day and D. J. Reibstein (eds.), Wharton on Dynamic Competitive Strategy, New York, NY: John Wiley amp; Sons, pp. 343-367.

S. K. Gupta and N. Sengupta, “Webinar as the future educational tool in higher education of India: A survey-based study,” Tech Know Learn, 2021. DOI: https://doi.org/s10758-021-09493-7.

A. Horvat, M. Dobrota, M. Krsmanovic and M. Cudanov, “Student perception of Moodle learning management system: a satisfaction and significance analysis,” Interactive Learning Environments, Vol. 23, No. 4, pp. 515-527, 2015. DOI: 10.1080/10494820.2013.788033.

M. Kuzmanović, J. Andjelković Labrović and A. Nikodijević, “Designing e-learning environment based on student preferences: conjoint analysis approach,” International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE), Vol. 7, No. 3, pp. 37-47, 2019. DOI: 10.5937/IJCRSEE1903037K.

A. D. Lambert and R. Yanson, “E-Learning for Professional Development: Preferences in Learning Method and Regency Effect,” Journal of Applied Business and Economics, Vol. 19, No. 3, pp. 51-63, 2017.

M. Levin, P. Guy, P. Straus and H. T. Levine, “Exploring Differences In Preference For On-Line Versus Traditional Classroom Delivery Of A Freshmen Introduction To Global Business Course,” American Journal of Business Education, Vol. 2, No. 6, pp. 69-76, 2009. DOI:10.19030/ajbe.v2i6.4089.

J. T. Mann and S. R. Henneberry, “Online versus Face-to-Face: Students’ Preferences for College Course Attributes,” Journal of Agricultural and Applied Economics, Vol. 46, No. 1, pp. 1-19, 2014. DOI: https://doi.org/10.1017/S1074070800000602.

A. Pasha and J. Gorya, “Student Preference and Perception towards Online Education in Hyderabad City,” International Journal of Trend in Scientific Research and Development (IJTSRD), Vol. 3, No. 3, pp. 656-659, 2019. DOI: 10.31142/ijtsrd22876.

R. M. Roberts, “The digital generation and web 2.0: E-learning concern or media myth?,” In Handbook of Research on Practices and Outcomes in E-Learning: Issues and Trends, pp. 93-115, 2010.

M. J. Rosenberg and R. Foshay, “E‐learning: Strategies for delivering knowledge in the digital age”, Performance Improvement, Vol. 41, No. 5, pp. 50-51, 2002. DOI: 10.1016/S1096-7516(02)00082-9.

P. R. Sackett and J. R. Larson Jr., “Research strategies and tactics in industrial and organizational psychology,” In M. D. Dunnette & L. M. Hough (Eds.), Handbook of industrial and organizational psychology, pp. 419-489, 1990.

T. A. Scandura and E. A. Williams, “Research methodology in management: current practices, trends, and implications for future research,” Academy of Management Journal, Vol. 43, No. 6, pp. 1248-1264, 2000. DOI: 10.2307/1556348.

J. Sun and Y. Wang, “Tool choice for e-learning: Task-technology fit through media synchronicity,” Information Systems Education Journal, Vol. 12, No. 4, pp. 17, 2014.

G. N. Soutar and J. P. Turner, “Students’ preferences for university: A conjoint analysis,” International journal of educational management, Vol. 16, No. 1, pp. 40-45, 2002. DOI: https://doi.org/10.1108/09513540210415523.

D. Won and G. A. Bravo, “Course design in sport management education: Addressing students’ perspectives through conjoint methodology,” Journal of Hospitality, Leisure, Sports and Tourism Education (Pre-2012), Vol. 8, No. 2, pp. 83-96, 2009. DOI: 10.3794/johlste.82.221.

C. Yu, W. C. W. Yu and C. F. Lin, “Computer Mediated Learning: What Have We Experienced and Where Do We Go Next?,” In Handbook of research on practices and outcomes in e-learning: Issues and Trends, IGI Global, pp. 1-18, 2010.

D. Zhang, J. L. Zhao, L. Zhou and J. F. Nunamaker Jr, “Can e-learning replace classroom learning? Communications of the ACM, Vol. 47, No. 5, pp. 75-79, 2004.

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Published

24-06-2022

How to Cite

Gupta, S. K. (2022). Preference Based Analysis on Online Course Structure of Research Methodology Using Conjoint Method. Asian Journal of Science and Applied Technology, 11(1), 30–35. https://doi.org/10.51983/ajsat-2022.11.1.3203