Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit.
By Jacob Cohen. 1968
Subfields: Statistics and Probability
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- Matthijs J. Warrens
- Iryna Gurevych
- Sophie Vanbelle
- A. Albert
- Christian Stab
- Arnold B. Bakker
- T. Wongpakaran
- N. Wongpakaran
Citations in the corpus
- Towards Exploiting Background Knowledge for Building Conversation Systems (2018, methodology): “We computed inter-annotator agreement using the mean linearly weighted Cohen’s κ (Cohen, 1968) and mean Krippendorff’s α (Hayes and Krippendorff, 2007).”
- Towards a Better Metric for Evaluating Question Generation Systems (2018, methodology): “In Table 3, we report the average inter-annotator agreement between the ratings using Cohen’s kappa ( κ ) score (Cohen, 1968).”
- How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation (2016, background): “2 w.r.t. the other respondents, which is a standard measure for inter-rater agreement (Cohen, 1968).”
- Evaluation of Text Generation: A Survey (2020, background): “For example, weighted κ (Cohen, 1968) extends Cohen’s κ by adding weights to each possible pair of score assignments.”
- Overview of the 1st Workshop on Asian Translation (2014, background): “The weights for the weighted κ (Cohen, 1968) is defined as |Evaluation1− Evaluation2|/4.”
- Material Parenting: How the Use of Goods in Parenting Fosters Materialism in the Next Generation (2015, methodology): “First, weighted kappa (Cohen 1968) was calculated and found to be significant for all variables.”
- Learning to Think Critically (2014, methodology): “Cohen, J. (1968). Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit.”
- A boost of positive affect (2013, methodology): “Weighted kappa coefficients (Cohen, 1968) were used to determine inter-rater reliability for the three positive emotions, including love ( w ¼ .49), appreciation ( w ¼ .33), and happiness ( w ¼ .47).”
- Meta-analysis of Cohen’s kappa (2011, background): “In fact, Cohen’s j has been extended to estimate inter-rater reliability for many complicated rating scenarios (e.g., Berry and Mielke 1998; Cohen 1968, 1972; Davies and Fleiss 1982; Fleiss 1971; Gross 1986; Janson and Olsson 2001, 2004; Kraemer 1980; Kraemer et al. 2004; Landis and Koch 1977b;…”
- An Informal Science Education Program’s Impact on STEM Major and STEM Career Outcomes (2020, methodology): “To assess consistency across coders (reliability), we calculated inter-coder agreement using both percent agreement (Lombard et al. 2002) and Cohen’s kappa (Cohen 1968) applying methodologies established for semi-structured interviews (Campbell et al. 2013).”
- AMSTAR is a reliable and valid measurement tool to assess the methodological quality of systematic reviews. (2009, unknown): “For each re-viewer, the data set extracted contained three quality ratings for each review, yielding a total of six ratings per review.”
- Can Automatic Post-Editing Improve NMT? (2020, background): “Hence, measures such as a weighted Kappa κw (Cohen, 1968), which assigns partial credit to smaller disagreements and works better with ordinal data (such as our adequacy judgments), is more suitable.”