Research of higher engineering education quality on the base of students Interviewing data by nonlinear principal components analysis (NLPCA)
The paper explores a suitability of higher education quality measurement from student’s point of view, and analyses results of interviewing of students from engineering specialties in Perm universities. Nonlinear Principal Components Analysis (NLPCA) in interpretation of Gifi system was used as the tool for data processing. It takes into account a dissimilar statistical nature of questionnaire indicators. The method can be very promising for various socio-economic researches.
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- Voss, Roediger & Gruber, Thorsten & Szmigin, Isabelle, 2007. "Service quality in higher education: The role of student expectations," Journal of Business Research, Elsevier, vol. 60(9), pages 949-959, September.
- Francesco Lagona & Fabio Padovano, 2007. "A nonlinear principal component analysis of the relationship between budget rules and fiscal performance in the European Union," Public Choice, Springer, vol. 130(3), pages 401-436, March.
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