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Genetic algorithms: a pragmatic, non-parametric approach to exploratory analysis of questionnaires in educational research

Madden, A.D. (1999) Genetic algorithms: a pragmatic, non-parametric approach to exploratory analysis of questionnaires in educational research. Educational Research, 41 (2). pp. 163-172. ISSN 0013-1881

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Abstract

Data from a survey to determine student attitudes to their courses are used as an example to show how genetic algorithms can be used in the analysis of questionnaire data. Genetic algorithms provide a means of generating logical rules which predict one variable in a data set by relating it to others. This paper explains the principle underlying genetic algorithms and gives a non-mathematical description of the means by which rules are generated. A commercially available computer program is used to apply genetic algorithms to the survey data. The results are discussed.

Item Type: Article
Copyright, Publisher and Additional Information: © 2000 NFER. This is an author produced version of a paper published in Educational Research. This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination.
Keywords: Methodology, rule-based analysis
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Andrew D. Madden
Date Deposited: 12 Oct 2005
Last Modified: 09 Jun 2014 10:31
Status: Published
Refereed: Yes
URI: http://eprints.whiterose.ac.uk/id/eprint/733

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