Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed.
By J. Kottner, L. Audigé, S. Brorson, Allan Donner, B. Gajewski, A. Hrõbjartsson, C. Roberts, M. Shoukri, D. Streiner. International Journal of Nursing Studies, 2011
2,607 citations recorded by the source corpus.
Subfields: Physiology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f4666aec0a8c0e1e2ce96964c34e8392ae3a344e
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Citations in the corpus
- Quantitative Imaging Biomarkers: A Review of Statistical Methods for Technical Performance Assessment (2014, positive): “Additionally, note that published results of studies involving rater agreement should adhere to Guidelines for Reporting Reliability and Agreement Studies.(61) RDC depends on the conditions being varied in any given study of measurement reproducibility.”
- Agreement is overrated: A plea for correlation to assess human evaluation reliability (2019, methodology): “systems, we refer to Krahmer and Theune (2010) and Gatt and Krahmer (2018).”
- Metrics Reloaded: Recommendations for image analysis validation (2022, neutral): “[55] Jan Kottner, Laurent Audigé, Stig Brorson, Allan Donner, Byron J Gajewski, Asbjørn Hróbjartsson, Chris Roberts, Mohamed Shoukri, and David L Streiner.”
- Test–retest: Agreement or reliability? (2016, background): “During the last decades, many research reported on the two related but clearly different notions of test–retest, namely, reliability and agreement (e.g. Bland and Altman, 1986; Grenier et al., 2000; Halligan, 2002; Kottner et al., 2011; Vieira and Corrente, 2011).”
- SANRA—a scale for the quality assessment of narrative review articles (2019, methodology): “Abbreviations AMSTAR 2: A MeaSurement Tool to Assess Systematic Reviews; CASP: Critical Appraisal Skills Program; GRRAS: Guidelines for Reporting Reliability and Agreement Studies; ICC: Intra-class correlation; RCT: Randomized controlled trial; SANRA: Scale for the Assessment of Narrative Review Art”
- Psychometric properties in instruments evaluation of reliability and validity. (2017, background): “Portanto, os resultados de uma pesquisa utilizando instrumentos de medida só podem ser interpretados quando as condições de avaliação e a abordagem estatística são apresentadas de maneira clara.(16) A confiabilidade refere-se a quão estável, consistente ou preciso é um instrumento.”