Students' evaluations of university teaching: a structural equation modeling analysis


In this paper a Student Satisfaction survey was conducted. The used questionnaire was proposed by a very large Research Group in 2010. The collected data was elaborated by a full reflective Structural Equation Model using PLS path model estimation. The first results showed that the influence of the Organization and Infrastructure on the Student Satisfaction were not statistically significant. Therefore a more complex model was supposed, the end results showed that the influence of Organization and Infrastructure on the SS was indirect, that is the Organization and the Infrastructures exert an influence upon the SS through the Didactics.

DOI Code: 10.1285/i20705948v5n3p406

Keywords: Structural equation model, reflective measurement model, partial least squares, tetrad test, student satisfaction


. CNVSU: Progettazione, implementazione e validazione di un questionario per la valutazione della didattica erogata a studenti universitari. Rapporto di Ricerca, RdR 2/10 (2010)

. D’Ambra L, Carpita M. (2012) Design, implementation and validation of a questionnaire for university teaching evaluation. (In Press)

. Harman, H.H. (1960) Modern factor analysis. University of Chicago Press, Chicago

. Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th Ed.). Needham Heights, MA: Allyn & Bacon

. Wright B.D., Masters G.N. (1982). Rating scale analysis. MESA, Chicago

. Joreskog, Karl. G. (1970). A general method for analysis of covariance structures. Biometrika, 57. 293-51.

. Wold, Herman (1975). Path Models with Latent Variables: The NIPALS Approach. In H. M. Blalock et al. (Eds.), Quantitative Sociology: International Perspectives on Mathematical and Statistical Model Building (pp. 307–357). New York: Academic Press.

. Boari G., Cantaluppi G (2010). Construction of the balanced scorecard by using structural equation models with latent variables Electron. J. App. Stat. Anal: Decision Support System and Services Evaluation. Vol.1 n.1

. Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30, 199–218.

. Petter, S., Straub, D., & Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quartely, 31, 623–656.

. Montuori, P. Triassi, M. Sarnacchiaro, P. (2012). The consumption of genetically modified foods in Italian high school students, Food Quality and Preference, 26, 246–251

. Bollen KA, Ting KF (2000). A tetrad test for causal indicators. Psychological Methods; 5:3–22.

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