Research of higher engineering education quality on the base of students Interviewing data by nonlinear principal components analysis (NLPCA)

Maksim Isakin and Grigorii Teplykh ()

Applied Econometrics, 2011, vol. 21, issue 1, 70-96

Abstract: 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.

Keywords: higher education quality; engineering education; questioning; method of principal components; nonlinear principal components analysis; NLPCA; Gifi system (search for similar items in EconPapers)
JEL-codes: C43 C61 C63 C83 C89 I21 I23 (search for similar items in EconPapers)
Date: 2011
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