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
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.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
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 |
Dates: |
|
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 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:733 |