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What Information Works Best?: A Comparison of Routing Methods
Halil Ibrahim Sari1, Anthony Raborn2
1Kilis 7 Aralik University, Turkey.
Test length significantly impacts computerized adaptive multistage testing (ca-MST) performance. Shorter tests favor simpler panel designs, while longer tests benefit from more complex ones, with no single routing method proving universally superior.
Area of Science:
- Educational Measurement
- Psychometrics
- Computerized Adaptive Testing
Background:
- Computerized adaptive testing (CAT) utilizes various item selection methods.
- These methods are not always directly applicable to computerized multistage testing (ca-MST).
- Effective routing methods are crucial for ca-MST performance.
Purpose of the Study:
- To evaluate the performance of specific item selection methods as routing algorithms in ca-MST.
- To compare five information-based routing methods: maximum Fisher information (MFI), maximum likelihood weighted information (MLWI), maximum posterior weighted information (MPWI), Kullback-Leibler (KL), and posterior Kullback-Leibler (KLP).
- To investigate the influence of ca-MST panel design and test length on routing method efficacy.
Main Methods:
- Simulated ca-MST using real item bank parameters.
- Tested five routing methods across four panel designs and two test lengths (30 and 60 items).
- Evaluated performance using overall metrics (bias, RMSE, theta correlation, exposure rates) and conditional metrics (conditional bias, SEM, RMSE).
Main Results:
- Test length was the most influential factor on outcomes.
- For 30-item tests, 1-3 panel designs showed superior performance.
- For 60-item tests, 1-3-3 panel designs were more effective.
- No single routing method consistently outperformed others across all conditions.
Conclusions:
- The optimal routing method and panel design in ca-MST are context-dependent, particularly influenced by test length.
- Recommendations for method and design selection are provided for researchers and practitioners.
- Further research is needed to explore limitations and refine ca-MST routing strategies.
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