A Test Characteristic Curve Linking Method for the Testlet Model

Author:

Li Yanmei1,Bolt Daniel M.2,Fu Jianbin3

Affiliation:

1. American Institutes for Research,

2. University of Wisconsin-Madison

3. American Institutes for Research

Abstract

When tests are made up of testlets, a testlet-based item response theory (IRT) model may be used to account for local dependence among items from a common testlet. This study presents a new test characteristic curve method to link calibrations based on the Bradlow, Wainer, and Wang (1999) testlet model. Procedures for calculating the test characteristic curve linking coefficients are developed. The effectiveness of the method is investigated using simulated data. Results suggest that the linking coefficients are accurately recovered and superior to those obtained when using a traditional IRT model to link calibrations when testlet-based local dependence is present. A real data example illustrates the proposed linking method.

Publisher

SAGE Publications

Subject

Psychology (miscellaneous),Social Sciences (miscellaneous)

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1. Assessment of Testlet Effects: Testing it All at Once;Springer Proceedings in Mathematics & Statistics;2024

2. Cognitive Diagnosis Testlet Model for Multiple-Choice Items;Journal of Educational and Behavioral Statistics;2023-05-09

3. Scale Linking for the Testlet Item Response Theory Model;Applied Psychological Measurement;2022-02-13

4. Computerized adaptive testing for testlet‐based innovative items;British Journal of Mathematical and Statistical Psychology;2021-08-30

5. Polytomous Testlet Response Models for Technology-Enhanced Innovative Items: Implications on Model Fit and Trait Inference;Educational and Psychological Measurement;2021-08-02

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