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Polytomous Testlet Response Models for Technology-Enhanced Innovative Items: Implications on Model Fit and Trait
Hyeon-Ah Kang1, Suhwa Han1, Doyoung Kim2
1University of Texas at Austin, Austin, TX, USA.
Educational and Psychological Measurement
|June 27, 2022
Summary
This study compares four measurement models for polytomous testlet items. Generalized partial credit model (GPCM) and fixed-effect testlet model (FTM) are best for no or fixed testlet effects.
Area of Science:
- Psychometrics
- Educational Measurement
- Statistical Modeling
Background:
- Innovative items in technology-enhanced assessments often feature polytomous scoring within testlets.
- Existing measurement models may not adequately capture the complexities of these polytomous testlet items.
- Practical models are needed to accurately describe and score such items.
Purpose of the Study:
- To evaluate and compare the performance of four measurement models for polytomous items administered in testlets.
- To identify the most suitable model based on criteria such as model fit, parameter recovery, and classification accuracy.
- To provide guidelines for selecting appropriate measurement models for polytomous testlet items.
Main Methods:
- Comparison of four models: generalized partial credit model (GPCM), testlet-as-a-polytomous-item model (TPIM), random-effect testlet model (RTM), and fixed-effect testlet model (FTM).
- Empirical evaluation using data simulating GPCM, FTM, and RTM conditions.
- Assessment of models based on relative and absolute fit, testlet effect significance, parameter recovery, and classification accuracy.
Main Results:
- Model performance varied significantly based on testlet effect type, size, and trait estimator.
- GPCM and FTM yielded optimal results when testlets had no or fixed effects.
- RTM showed the best model fit for random interaction effects but performance varied with trait estimation methods.
- The effectiveness of RTM was most apparent with strong random effects and Bayesian estimation.
Conclusions:
- The choice of measurement model for polytomous testlet items depends critically on the nature and magnitude of testlet effects.
- Simpler models like GPCM and FTM are often sufficient and perform comparably or better in many scenarios.
- Polytomous scoring of testlet items has limited practical utility.
- Guidelines are provided for selecting the most appropriate measurement model for polytomous innovative items in testlet-based assessments.
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