Literature DB >> 31488921

Exploring the Combined Effects of Rater Misfit and Differential Rater Functioning in Performance Assessments.

Stefanie A Wind1, Wenjing Guo1.   

Abstract

Rater effects, or raters' tendencies to assign ratings to performances that are different from the ratings that the performances warranted, are well documented in rater-mediated assessments across a variety of disciplines. In many real-data studies of rater effects, researchers have reported that raters exhibit more than one effect, such as a combination of misfit and systematic biases related to student subgroups (i.e., differential rater functioning [DRF]). However, researchers who conduct simulation studies of rater effects usually focus on the effects in isolation. The purpose of this study was to explore the degree to which rater effect indicators are sensitive to rater effects when raters exhibit more than one type of effect, and to explore the degree to which this sensitivity changes under different data collection designs. We used a simulation study to explore combinations of DRF and rater misfit. Overall, our findings suggested that it is possible to use common numeric and graphical indicators of DRF and rater misfit when raters exhibit both these effects, but that these effects may be difficult to distinguish using only numeric indicators. We also observed that combinations of rater effects are easier to identify when complete rating designs are used. We discuss implications of our findings as they result to research and practice.

Keywords:  missing data; performance assessment; rater effects; rater-mediated assessment

Year:  2019        PMID: 31488921      PMCID: PMC6713980          DOI: 10.1177/0013164419834613

Source DB:  PubMed          Journal:  Educ Psychol Meas        ISSN: 0013-1644            Impact factor:   2.821


  11 in total

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2.  Detecting and measuring rater effects using many-facet Rasch measurement: Part II.

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Journal:  J Appl Meas       Date:  2004

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6.  Detecting measurement disturbance effects: the graphical display of item characteristics.

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7.  Incorporating Criterion Ratings Into Model-Based Rater Monitoring Procedures Using Latent-Class Signal Detection Theory.

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8.  Detecting Rater Effects under Rating Designs with Varying Levels of Missingness.

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9.  A Study of Rasch, partial credit, and rating scale model parameter recovery in WINSTEPS and jMetrik.

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Journal:  Adapt Phys Activ Q       Date:  2012-10       Impact factor: 2.929

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3.  Detecting Rater Biases in Sparse Rater-Mediated Assessment Networks.

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Journal:  Educ Psychol Meas       Date:  2021-01-19       Impact factor: 3.088

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6.  Accuracy of performance-test linking based on a many-facet Rasch model.

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