Research of higher engineering education quality on the base of students Interviewing data by nonlinear principal components analysis (NLPCA)
AbstractThe 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Publishing House "SINERGIA PRESS" in its journal Applied Econometrics.
Volume (Year): 21 (2011)
Issue (Month): 1 ()
Contact details of provider:
Web page: http://appliedeconometrics.cemi.rssi.ru/
higher education quality; engineering education; questioning; method of principal components; nonlinear principal components analysis; NLPCA; Gifi system;
Find related papers by JEL classification:
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
- I23 - Health, Education, and Welfare - - Education - - - Higher Education and Research Institutions
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Anatoly Peresetsky).
If references are entirely missing, you can add them using this form.