iirtplay
iirtplay performs unidimensional item response theory (IRT) analyses, including item calibration, proficiency scoring, model-fit evaluation, and importation of parameter estimates for assessment development and validation.
Key Features:
- Online Item Calibration: Offers functions for calibration of online items within a unidimensional IRT model.
- Scoring Proficiencies: Scores test-taker proficiencies based on responses to calibrated items.
- Model Fit Evaluation: Evaluates the fit of unidimensional IRT models to empirical data.
- Parameter Importation: Imports item and proficiency parameter estimates from outputs generated by popular IRT software.
- Mixed-item Format Support: Handles mixed-item formats, accommodating dichotomous (binary) and polytomous (multiple-category) items.
Scientific Applications:
- Educational Assessment Development: Supports development and validation of educational assessments by analyzing item characteristics and respondent abilities.
- Psychometrics Research: Enables psychometric analyses that require unidimensional IRT modeling and comparison of model fit.
- Standardized and Adaptive Testing: Applies to standardized testing and adaptive testing systems that use calibrated items and proficiency scoring.
- Psychological Evaluation: Supports psychological evaluations that use mixed-item formats and IRT-based scoring.
Methodology:
Implements unidimensional IRT modeling with functions for item calibration, proficiency scoring, model-fit evaluation, and importation of item and proficiency parameter estimates; supports dichotomous and polytomous item formats.
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 2/24/2022
- Last Updated:
- 2/24/2022
Operations
Publications
Lim H, Wells CS. <i>irtplay</i>: An R Package for Online Item Calibration, Scoring, Evaluation of Model Fit, and Useful Functions for Unidimensional IRT. Applied Psychological Measurement. 2020;44(7-8):563-565. doi:10.1177/0146621620921247. PMID:34565935. PMCID:PMC7495796.