Key points are not available for this paper at this time.
Background 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. 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. 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. 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. 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.
Cheung et al. (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: