Fieger, Peter (2013): Using Student Outcome Survey Data for institutional performance measurement. Published in: Australian Vocational Education and Training Research Association Conference Archives 2013 , Vol. 16, No. 1 : pp. 1-10.
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Abstract
This study investigates a possible methodology to create and apply a number of indicators to measure the institutional performance of training providers, using the 2011 Student Outcomes Survey. These indicators include the measurement of various types of student satisfaction and several labour market outcomes. Hierarchical regression models are then developed to ascertain the effect of TAFE institutions 1 on these outcomes and will take into account the prevailing labour market conditions in the local area of individual respondents. It will further be analysed whether bias inherent in the SOS has significant impact on the performance indicators under consideration. The paper concludes that there are measurable institutional effects even after adjusting for a number of significant covariates and survey bias. The quantification of these effects enables benchmarking and inter-institute comparisons.
Item Type: | MPRA Paper |
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Original Title: | Using Student Outcome Survey Data for institutional performance measurement |
Language: | English |
Keywords: | Institutional performance measurement |
Subjects: | I - Health, Education, and Welfare > I2 - Education and Research Institutions > I21 - Analysis of Education P - Economic Systems > P4 - Other Economic Systems > P46 - Consumer Economics ; Health ; Education and Training ; Welfare, Income, Wealth, and Poverty |
Item ID: | 76839 |
Depositing User: | Peter Fieger |
Date Deposited: | 15 Feb 2017 16:43 |
Last Modified: | 04 Oct 2019 03:25 |
References: | Dai, J., Li, Z., & Rocke, D. (2006). Hierarchical logistic regression modeling with SAS GLIMMIX. In Conference Proceedings of Western Users of SAS Software (pp. 27-29). Dubin, J. A., & Rivers, D. (1989). Selection bias in linear regression, logit and probit models. Sociological Methods & Research, 18(2-3), 360-390. Fieger, P. (2012). Measuring student satisfaction from the Student Outcome Survey, National Centre for Vocational Education Research, Adelaide, 2012 Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica: Journal of the econometric society, 153-161. Karmel, T., & Fieger, P. (2012). The value of completing a VET qualification, National Centre for Vocational Education Research, Adelaide, 2012 Labour market data. (2011). Retrieved February 2013 from http://foi.deewr.gov.au/system/files/doc/other/australian_regional_labour_markets_september_quarter_2011.pdf Technical SOS description. (2012). Retrieved February 2013 from http://www.ncver.edu.au/statistics/surveys/sos12/sos12_Technical_notes.pdf Transparency agenda. (2012). Retrieved February 2013 from http://www.dpmc.gov.au/publications/skills_for_all_australians/chapter6_greater_transparency_of_the_vet_sector.html |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/76839 |