A Prototype Empirical Framework of Intrinsic and Extrinsic EERQI Indicators

Chapter

Abstract

The research question to be answered in the context of the EERQI project is: What do statistical analyses show us about the relationships between intrinsic and extrinsic indicators of quality and what does this mean when constructing a prototype EERQI framework?

Keywords

Covariance 

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References

  1. Bridges, D. (2009): Research quality assessment: impossible science, possible art? British Educational Research Journal, 35(4), 497–517.CrossRefGoogle Scholar
  2. EERQI project (2010): State of the art reports on EERQI project parts. Preparatory meeting for the second EERQI workshop, 18-19 March. EERQI Project Report.Google Scholar
  3. Gogolin, I. (2008): European Educational Research Quality Indicators (EERQI). (Project 217549). FP7 Collaborative project. Hamburg, Universität Hamburg.Google Scholar
  4. Gradmann, S., Sieber, J., & Stoye, D. (2011): Extrinsic indicators used in EERQI. Berlin: Humboldt-Universität, Institut für Bibliotheks- und Informationswissenschaft.Google Scholar
  5. Mooij, T. (2008a): Suggestions for a first conceptual framework to construct EERQI. Contribution to the international project ‘European Educational Research Quality Indicators’ (Project 217549; FP7). Nijmegen, The Netherlands: Radboud University, ITS.Google Scholar
  6. Mooij, T. (2008b): Intermediate conceptual framework and procedures to construct EERQI. Contribution to the international project ‘European Educational Research Quality Indicators’ (Project 217549; FP7). Nijmegen, The Netherlands: Radboud University, ITS.Google Scholar
  7. Mooij, T. (2011): European Educational Research Quality Indicators (EERQI): A first prototype framework of intrinsic and extrinsic indicators. Paper for the final conference in Brussels, University Foundation, 15-16 March 2011 of the international collaborative project ‘European Educational Research Quality Indicators’ (EU Project 217549; FP7). Nijmegen, The Netherlands: Radboud University, ITS.Google Scholar
  8. Nolin, J., & Åström, F. (2010): Turning weakness into strength: Strategies for future LIS. Journal of Documentation, 66(1), 7–27.CrossRefGoogle Scholar
  9. Sándor, Á., & Vorndran, A. (2009): Detecting key sentences for automatic assistance in peer reviewing research articles in educational sciences. EERQI Project Report.Google Scholar
  10. Sieber, J., & Stoye, D. (2011): Description of a Measure. Berlin: Humboldt- Universität, Institut für Bibliotheks- und Informationswissenschaft.Google Scholar

Copyright information

© Springer Fachmedien Wiesbaden 2014

Authors and Affiliations

  1. 1.ISTRadboud Universiteit NijmegenNijmegenNetherlands

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