Detecting Duplication in Students’ Research Data: A Method and Illustration
Research integrity is core to the mission of higher education. In undergraduate student samples, self-reported rates of data fabrication have been troublingly high. Despite this, no research has investigated undergraduate data fabrication in a more systematic manner. We applied duplication screening...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Routledge
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/40539 |
| _version_ | 1848755898727530496 |
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| author | Allen, Peter Lourenco, A. Roberts, Lynne |
| author_facet | Allen, Peter Lourenco, A. Roberts, Lynne |
| author_sort | Allen, Peter |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Research integrity is core to the mission of higher education. In undergraduate student samples, self-reported rates of data fabrication have been troublingly high. Despite this, no research has investigated undergraduate data fabrication in a more systematic manner. We applied duplication screening techniques to 18 data sets submitted by psychology honors students for assessment. Although we did not identify any completely duplicated cases, there were numerous partial duplicates. Rather than indicating fabrication, however, these partial duplicates are likely a consequence of poor measure selection, insufficient data screening, and/or participant characteristics. Implications for the teaching and supervision of honors students are discussed. |
| first_indexed | 2025-11-14T09:03:37Z |
| format | Journal Article |
| id | curtin-20.500.11937-40539 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:03:37Z |
| publishDate | 2015 |
| publisher | Routledge |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-405392020-07-22T08:23:50Z Detecting Duplication in Students’ Research Data: A Method and Illustration Allen, Peter Lourenco, A. Roberts, Lynne Research integrity is core to the mission of higher education. In undergraduate student samples, self-reported rates of data fabrication have been troublingly high. Despite this, no research has investigated undergraduate data fabrication in a more systematic manner. We applied duplication screening techniques to 18 data sets submitted by psychology honors students for assessment. Although we did not identify any completely duplicated cases, there were numerous partial duplicates. Rather than indicating fabrication, however, these partial duplicates are likely a consequence of poor measure selection, insufficient data screening, and/or participant characteristics. Implications for the teaching and supervision of honors students are discussed. 2015 Journal Article http://hdl.handle.net/20.500.11937/40539 10.1080/10508422.2015.1019070 Routledge fulltext |
| spellingShingle | Allen, Peter Lourenco, A. Roberts, Lynne Detecting Duplication in Students’ Research Data: A Method and Illustration |
| title | Detecting Duplication in Students’ Research Data: A Method and Illustration |
| title_full | Detecting Duplication in Students’ Research Data: A Method and Illustration |
| title_fullStr | Detecting Duplication in Students’ Research Data: A Method and Illustration |
| title_full_unstemmed | Detecting Duplication in Students’ Research Data: A Method and Illustration |
| title_short | Detecting Duplication in Students’ Research Data: A Method and Illustration |
| title_sort | detecting duplication in students’ research data: a method and illustration |
| url | http://hdl.handle.net/20.500.11937/40539 |