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National higher education evaluation systems: Methods for analysis and some propositions for the research and policy void.

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Title: National higher education evaluation systems: Methods for analysis and some propositions for the research and policy void.
Authors: Kells, H.R.1
Source: Higher Education (00181560). Sep99, Vol. 38 Issue 2, p209-232. 24p. 2 Charts.
Subject Terms: *Educational evaluation, *Higher education research
Abstract: A review of the status of national higher education evaluation systems and an examination of the lack of research into the process and nature of policy choice which brought them into existence and shaped them. Proposals are made concerning methods to assist future policy choices and analysis of these systems and propositions posited to further our understanding and as a basis for further research. [ABSTRACT FROM AUTHOR]
Copyright of Higher Education (00181560) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: A review of the status of national higher education evaluation systems and an examination of the lack of research into the process and nature of policy choice which brought them into existence and shaped them. Proposals are made concerning methods to assist future policy choices and analysis of these systems and propositions posited to further our understanding and as a basis for further research. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Higher Education (00181560) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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