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Using Student Outcome Survey Data for institutional performance measurement

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  • Fieger, Peter

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.

Suggested Citation

  • Fieger, Peter, 2013. "Using Student Outcome Survey Data for institutional performance measurement," MPRA Paper 76839, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:76839
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    References listed on IDEAS

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    1. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    2. Jeffrey A. Dubin & Douglas Rivers, 1989. "Selection Bias in Linear Regression, Logit and Probit Models," Sociological Methods & Research, , vol. 18(2-3), pages 360-390, November.
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    More about this item

    Keywords

    Institutional performance measurement;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • P46 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty

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