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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Year of publication:	2011
Authors:	Isakin, Maksim ; Teplykh, Grigory
Published in:	Applied Econometrics. - Publishing House "SINERGIA PRESS". - Vol. 21.2011, 1, p. 70-96
Publisher:	Publishing House "SINERGIA PRESS"
Subject:	higher education quality \| engineering education \| questioning \| method of principal components \| nonlinear principal components analysis \| NLPCA \| Gifi system

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Extent:	application/pdf
Type of publication:	Article
Language:	English
Classification:	C43 - Index Numbers and Aggregation ; C61 - Optimization Techniques; Programming Models; Dynamic Analysis ; C63 - Computational Techniques ; C83 - Survey Methods; Sampling Methods ; C89 - Data Collection and Data Estimation Methodology; Computer Programs. Other ; I21 - Analysis of Education ; I23 - Higher Education Research Institutions
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10009017913