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An R-Based Landscape Validation of a Competing Risk Model
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Using the open-source statistical language R to analyze the dichotomous Rasch model.

Yuelin Li1

  • 1Department of Psychiatry & Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, 1275 York Ave., New York, NY 10021, USA. liy12@mskcc.org

Behavior Research Methods
|December 26, 2006
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Summary

This study highlights R, a free statistical software, as an effective tool for teaching advanced psychological statistics, including the Rasch model. Its accessibility and comprehensive features make it ideal for educators and researchers.

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Area of Science:

  • Psychology
  • Statistics
  • Data Analysis

Background:

  • R is an open-source statistical language gaining traction among psychology educators.
  • Advanced statistical topics, like the Rasch model, require specialized computational approaches.

Purpose of the Study:

  • To demonstrate R's utility as a teaching tool and data analysis software for the Rasch model in item response theory.
  • To explain the theory and educator goals for fitting the Rasch model using joint maximum likelihood estimation.
  • To provide R syntax for parameter estimation and fit statistics calculation.

Main Methods:

  • Utilizing R for parameter estimation and fit statistics in the Rasch model.
  • Comparing R's output with MINISTEP and conditional logit models.
  • Explaining the theoretical underpinnings of joint maximum likelihood estimation for the Rasch model.

Main Results:

  • R effectively performs parameter estimation and calculates fit statistics for the Rasch model.
  • R's results are comparable to established methods like MINISTEP and conditional logit models.
  • The study provides practical R syntax for implementing these analyses.

Conclusions:

  • R is a valuable, free, and versatile tool for teaching and analyzing the Rasch model in psychology.
  • Its peer-supported network and broad statistical coverage make it suitable for various educational and research needs.
  • R facilitates the transformation of complex mathematical concepts into practical statistical computations for psychologists.