Factor structure and stability of a quality questionnaire within a postgraduate program
Supporting Agencies
- Project SEJ-141 (Regional Government of Andalusia
- Spain)
- project OPTIMPOS 3
- MTM2012-36163 C06-06
- Project Content & Intelligence
- IPT-2012-0912-430000 (founded both by National Government of Spain and URJC project F287)
Abstract
In this work we describe an instrument based on the use of a factor analysis technique in order to measure the quality of education within a Postgraduate degree offered by a public Spanish university. We showed that the instrument has satisfactory psychometric properties (reliability and validity). Regarding the factorial solution, three main dimensions have been determined, namely: importance given to the subject; educational resources and knowledge of the subject (previous and posterior). It is important to remark that these three dimensions were consistently detected in all the factorial analyses performed (total sample and separate academic years). These three dimensions should be considered as fundamental when designing an instrument to evaluate educational quality. These findings may be taken as a basis for the design of future strategies for the evaluation of educational quality on other type of degrees within the higher education area.
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References
Bentler, P.M. (1990). Comparative fit indices in structural models. Psychological Bulletin, 107, 238-246.
Dubas, K. & Strong, J. (1993). Course Design Using Conjoint Analysis. Journal of Marketing Education, 15, 31-36.
Dubas, K., Ghani, W., Davis, S. & Strong, J. (1998). Evaluating Market Orientation of an Executive MBA Program. Journal of Marketing for Higher Education, 8(4), 49-59.
Ehling, M & Körner, T. (2007). Handbook on Data Quality Assessment Methods and Tools. Eurostat, European Commission, Wiesbaden.
Ferrando, J.P. & Lorenzo-Seva, U. (2014). Exploratory Item Factor Analysis: Some additional considerations. Anales de Psicología, 30(3), 1170-1175.
Goldghen, L. & Kane, K. (1997). Repositioning the MBA, Issues and Implications. Journal of Marketing for Higher Education, 8(1), 15-24.
Guolla, M. (1999). Assessing the teaching quality to student satisfaction relationship: Applied customer satisfaction research in the classroom. Journal of Marketing Theory and Practice, 7(3), 87-98.
Herche, J. & Swenson, M. (1991). Multidimensional Scaling: A Market Research Tool to Evaluate Faculty Performance in the Classroom. Journal of Marketing Education, 13, 14-20.
Horn, J.L. (1965). A Rationale and Test for the Number of Factors in Factor Analysis. Psychometrika, 30, 179-85.
Jöreskog, K.G. & Sörbom, D. (1979). Advanced in factor analysis and structural equation models. Cambridge: M.A. Abl.
Juric, B., Tood S. & Henry J. (1997). From the Student Perspective: Why Enrol in an Introductory Marketing Course? Journal of Marketing Education, 19(1), 65-76.
Lado, N., Cardone, C. & Rivera, P. (2003). Measurement and Effects of Teaching Quality: An Empirical Model Applied to Masters Programs. Journal of the Academy of Business Education, 4, 28-40.
Lloret-Segura, S, Ferreres-Traver, A., Hernández-Baeza, A & Tomás-Marco, I. (2014). Exploratory item factor analysis: a practical guide revised and up-dates. Anales de Psicología, 30(3), 1151-1169.
Mardia, K., Kent, J. & Bibby, J. (1979). Multivariate analysis. Academic Press: London.
Marks, R.B. (2001). Determinants of Student Evaluations of Global Measures of Instructor and Course Value. Journal of Marketing Education, 22(2), 108-119.
Marsh, H. (1994). Weighting for the Right Criteria in Instructional Development and Effective Assessment (IDEA) System: Global and Specific Ratings of teaching Effectiveness and their Relation to Course Objectives. American Psychologist, 86(4), 631-648.
Martin, G. & Bray, G. (1997). Assessing Customer Satisfaction with a Master of Business Administration Program: Implications for Resource Allocation. Journal of Marketing for Higher Education, 8(2), 15-28.
Mckeachie, W. (1997). Student Rating: The Validity of Use. American Psychologist, 52, 1218-25.
Moreno, A. & Ríos, D. (1998). Issues in Service Quality Modelling. In Bernardo J.M., et al. (Edit.). Bayesian Statistics, 6, 441-457.
O´Neil, H.F. Jr. & Abedi, J. (1996). Reliability and Validity of a State Metacognitive Inventory: Potential for Alternative Assessment. The Journal of Educational Research, 89(4), 234-245.
Pohlmann, J.T. (2004). Use and Interpretation of Factor Analysis in the Journal of Educational Research: 1992-2002. The Journal of Educational Research, 98(1), 14-22.
Saris, W. E. & Stronkhorst, H. (1984). Casual modelling in non-experimental research: an introduction to the LISREL approach. Amsterdam: Sociometric Research Foundation.
Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A. & King, J. (2006).Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review. The Journal of Educational Research, 99(6), 323-337.
Simpson, P. & Siguaw J. (2000). Student evaluations of teaching: An exploratory study of the faculty response. Journal of Marketing Education, 22(3), 199-213.
Stafford, T. (1994). Consumption Values and the Choice of Marketing Electives: treating Students like Customers. Journal of Marketing Education, 16(2), 26-33.
Steiger, J.H. & Lind, C. (1980). Statistically based tests for the number of common factors. Paper presented at the annual meeting of the Psychometric Society, Iowa City, IA.
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