ArticleQuality & quantity2023
Evaluating and Tracking Qualitative Content Coder Performance Using Item Response Theory.
Article in Quality & quantity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Content analysis of traditional and social media has a central role in investigating features of media content, measuring media exposure, and calculating calculation of media effects. The reliability of content coding is usually evaluated using "Kappa-like" agreement measures, but these measures produce results that aggregate individual coder decisions, which obscure the performance of individual coders. Using a data set of 105 advertisements for sports and energy drinks media content coded by five coders, we demonstrate that Item Response Theory can track coder performance over time and give coder-specific information on the consistency of decisions over qualitatively coded objects. We conclude that IRT should be added to content analysts' tool kit of useful methodologies to track and measure content coders' performance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.