Measures for Ph.D. Evaluation: the Recruitment Process
AbstractRecently the quality of Higher Education (HE) system and its evaluation have been key issues of the political and scientific debate on education policies all over Europe. In the wide landscape that involves the entire HE system we draw attention on the third level of its organization, i.e. the Ph.D. In particular, this paper discusses the necessity of monitoring the recruitment process of Ph.D. system because it represents a fundamental aspect of the Ph.D. system as a whole. We introduce a set of concepts related to the recruitment process and then we make them computable with synthetic indicators. The study provides an empirical analysis based on doctoral schools of four academic years at the University of Siena. Proposed indicators are finally used for detecting weakness and strength of each Ph.D. school.
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 InfoPaper provided by Department of Economics, University of Siena in its series Department of Economics University of Siena with number 619.
Date of creation: Oct 2011
Date of revision:
Ph.D. schools; Ph.D.s. recruitment; diversity; external attractiveness; polarization;
Find related papers by JEL classification:
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
- I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-11-21 (All new papers)
- NEP-EDU-2011-11-21 (Education)
- NEP-LAB-2011-11-21 (Labour Economics)
- NEP-SOG-2011-11-21 (Sociology of Economics)
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.:
- M. Saisana & A. Saltelli & S. Tarantola, 2005. "Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(2), pages 307-323.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Fabrizio Becatti).
If references are entirely missing, you can add them using this form.