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GGUM: An R Package for Fitting the Generalized Graded Unfolding Model
Jorge N Tendeiro1, Sebastian Castro-Alvarez1
1University of Groningen, The Netherlands.
Applied Psychological Measurement
|February 23, 2019
Summary
The new GGUM R package offers advanced generalized graded unfolding model (GGUM) analysis, overcoming limitations of previous software. This item response theory tool is now accessible for diverse research applications.
Area of Science:
- Psychometrics
- Statistical Modeling
- Educational Measurement
Background:
- Item response theory (IRT) models are crucial for understanding measurement properties.
- The generalized graded unfolding model (GGUM) offers a flexible approach to modeling response data.
- Existing software for GGUM, such as GGUM2004, has limitations in terms of data dimensions and operating system compatibility.
Purpose of the Study:
- To introduce the novel GGUM R package, a user-friendly software for implementing the generalized graded unfolding model.
- To provide researchers and practitioners with a versatile tool that overcomes the limitations of previous GGUM software.
- To facilitate the application of GGUM in various research settings, expanding its practical utility.
Main Methods:
- Development of a new R package specifically designed for fitting the generalized graded unfolding model.
- Implementation of routines for model fitting, assessment of model fit, and visualization of results.
- Inclusion of functionalities for interaction with existing GGUM software (GGUM2004) for comparative analysis.
Main Results:
- The GGUM R package provides a powerful and flexible platform for GGUM analysis.
- The software is not constrained by data matrix dimensions or operating system, enhancing accessibility.
- The package includes comprehensive tools for model estimation, evaluation, and interpretation.
Conclusions:
- The GGUM R package represents a significant advancement in the practical application of the generalized graded unfolding model.
- This software democratizes access to advanced psychometric modeling for a broader research community.
- The package is expected to foster wider adoption and application of ideal point models in various fields.
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