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The use of intercoder reliability in qualitative interview data analysis in science education

Abstract:

Background
Intercoder reliability is a statistic commonly reported by researchers to demonstrate the rigour of coding procedures during data analysis. Its importance is debatable in the analysis of qualitative interview data. It raises a question on whether researchers should identify the same codes and themes in a transcript or they should produce different accounts in analyzing the transcript.
Purpose
This study reports how articles in four science education journals, International Journal of Science Education, Research in Science Education, Journal of Research in Science Teaching and Science Education report intercoder reliability in their analysis of interview data.
Methods
This article explores whether 103 papers published in these science education journals in a single year (2019) have reported intercoder reliability test when the authors analyse their interview data. It was found that 19 papers have reported the test results.
Findings
The authors of these studies have different interpretation towards a similar value of intercoder reliability. Moreover, the percentage of data used in the intercoder reliability test and the identity of intercoder vary across the studies. As a result, this paper aims to raise an issue on whether a replicability of coding can show the reliability of the results when researchers analyze interview data.
Conclusion
We propose two major principles when authors report the reliability of the analysis of interview data: transparency and explanatory. We also argue that only when the authors report intercoder reliability test results that are based on these two principles, the reliability statistics of studies are convincing to readers. Some suggestions are offered to authors regarding how to carry out, analyze and report the intercoder reliability test.
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1080/02635143.2021.1993179

Authors


More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Education
Role:
Author
ORCID:
0000-0002-6431-1129
More by this author
Role:
Author
ORCID:
0000-0002-2098-8082


Publisher:
Taylor and Francis
Journal:
Research in Science and Technological Education More from this journal
Volume:
41
Issue:
3
Pages:
1155-1175
Publication date:
2021-11-03
Acceptance date:
2021-10-09
DOI:
EISSN:
1470-1138
ISSN:
0263-5143


Language:
English
Keywords:
Pubs id:
1211707
Local pid:
pubs:1211707
Deposit date:
2021-11-22

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