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 |
| 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: | 08 Feb 2013 16:48 |
| Status: | Published |
| Refereed: | Yes |
| URI: | http://eprints.whiterose.ac.uk/id/eprint/733 |
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