https://github.com/educationaltestingservice/person_fit_analysis

R code to accompany an article published in Applied Measurement in Education
https://github.com/educationaltestingservice/person_fit_analysis

Last synced: 11 months ago
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R code to accompany an article published in Applied Measurement in Education

• Host: GitHub
• URL: https://github.com/educationaltestingservice/person_fit_analysis
• Owner: EducationalTestingService
• License: apache-2.0
• Created: 2017-02-28T20:05:50.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2017-03-03T14:47:37.000Z (over 9 years ago)
• Last Synced: 2025-05-14T09:17:37.706Z (about 1 year ago)
• Language: R
• Size: 9.77 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: License.txt

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README

          
# Person_fit_analysis

The file Analysis.R has R code that is supposed to accompany an article published in Applied Measurement in Education (Sinharay, 2017).

The R code provided here computes the area under the ROC curve (AUROC) for each of the 60 simulation cases considered in Sinharay (2017), then computes the overall AUROC using the Dersimonian-Laird algorithm (that is the more rigorous approach) and the approach used in Karabatsos (2003), which is an inappropriate approach. The code also computes the AUROC for each of the three test lengths using the approach suggested in Sinharay (2017). Comment lines are provided for the convenience of the readers. The citation for the article is: Sinharay, S. (2017). Are the nonparametric person-fit statistics more powerful than their parametric counterparts? Revisiting the simulations of Karabatsos (2003).  Applied Measurement in Education.