LOGISTIC REGRESSION FOR DETERMINING FACTORS INFLUENCING STUDENTS’ PERCEPTION OF COURSE EXPERIENCE

Abstract

In the new competitive environment of the higher education in the Republic of Macedonia, the South East European University (SEEU) has the considerable impact as the model institution. It offers the various benefits to the new generations. These benefits are on the direction of offering the new agilities, and the knowledge which guaranties the better future for the students in the area of the global trade of labor. In each new activity taken from the SEEU, the main focus is increasing the quality and the development of its educational and research capacities. In this direction very important role has the increasing the quality of the learning and teaching process. The aim of this research is to determine some of the so called satisfaction factors, which have the positive impact on students’ perception concerning some teaching practices. In this paper the analyses is done using the logistic regression method. For this purpose there is build the corresponding mathematical model. This model considers the factor satisfaction/dissatisfaction on some subjects. This factor is taken as the function of the measured variables. In total there are considered 20 variables which have the impact on the teaching process. The variable "answer" is the satisfaction factor.The obtained results make possible to identify the relations between the teaching practices and the satisfaction/dissatisfaction quality of the course.

Keywords

• SEEU,teaching practices,satisfaction,logistic regression,the mathematical model

References

1. Fox J., (1997): Applied Regression Analysis, Linear Models and Related Methods. Thousand Oaks, CA: Sage Publications Goe, L. (2007). The link between teacher quality and student outcomes: A research synthesis. Washington, DC:National Comprehensive Center for Teacher Quality. Retrieved February 27, 2008, from http://www.ncctq.org/publications/LinkBetweenTQandStudentOutcomes.pdf Hosmer, W.D., Lemeshow, S.: Applied Logistic Regression. 2nd ed. New York. Wiley-Interscience Publication, 2000. Johnson, R. T., and Johnson, D. W. (1986), “Action Research: Cooperative Learning in the Science Classroom,” Science and Children, 24(2), 31-32. Kerman, S. (1979). “Teacher Expectations and Student Achievement.” Phi Delta Kappan McCarthy, J. P. and Anderson, L. (2000), “Active Learning Techniques versus Traditional Teaching Styles: Two Experiments from History and Political Science,” Innovative Higher Education, 24(4), 279-94. MedCalc. Easy-to-use statistical software. 2005. MedCalc Software. Broekstraat 52. 9030 Mariakerke. Belgium Oyvind Helgesen and Erik Nesset (2007), What accounts for students’loyalty? Some field study evidence, International Journal of Educational Management, Vol. 21 No. 2, pp. 126-143. Patrick, K., Bedford, A., Romagnano, S., Bedford, M. & Barber, J. (2008). Discipline-Specific Factor Analysis Approach to Using Student Surveys for Improvement. Journal of Institutional Research, 14(1), 96–108 Ramsden, P. (1991). A performance indicator of teaching quality in higher education: The course experience questionnaire. Studies in Higher Education, 16(2), 129–150. Richardson, J. T. (1994). A British evaluation of the course experience questionnaire. Studies in Higher Education, 19, 59–68. Santhanam, E., & Hicks, O. (2002). Disciplinary, gender and course year influences on student perceptions of teaching: Explorations and implications. Teaching in Higher Education, 7, 17–31. Wilson, K.L., Lizzio, A., & Ramsden, P. (1997). The development, validation and application of the Course Experience Questionnaire. Studies in Higher Education, 22(1), 33–53. Woo, M. A., and Kimmick, J. V. (2000), “Comparison of Internet versus Lecture Instructional Methods for Teaching Nursing Research,” Journal of Professional Nursing, 16(3), 132-39.