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On the Speed Sensitivity Parameter in the Lognormal Model for Response Times and Implications for High-Stakes
Benjamin Becker1, Dries Debeer2, Sebastian Weirich1
1Humboldt University of Berlin, Germany.
Applied Psychological Measurement
|September 27, 2021
Summary
Fairness in high-stakes testing requires accounting for speed sensitivity. An extended lognormal model better estimates ability, especially for slower, high-ability test takers, ensuring test form comparability.
Area of Science:
- Psychometrics
- Educational Measurement
- Cognitive Psychology
Background:
- High-stakes testing often uses multiple test forms with a common time limit.
- Test fairness necessitates that ability estimates are independent of the specific test form administered.
- Differences in speededness between test forms can compromise test fairness and ability estimation comparability.
Purpose of the Study:
- To investigate the impact of speed sensitivity on test form comparability in high-stakes testing.
- To compare the standard lognormal measurement model for response times with an extended version incorporating speed sensitivity.
- To evaluate the effect of differing speed sensitivity across test forms on ability estimates.
Main Methods:
- Comparison of the standard lognormal measurement model (van der Linden) with an extended model (Klein Entink, van der Linden, & Fox) that includes a speed sensitivity parameter.
- Analysis of an empirical dataset to assess model fit.
- Simulation study to examine the influence of varying speed sensitivity on ability estimates.
Main Results:
- The extended lognormal model demonstrated a better fit to the empirical data compared to the model without speed sensitivity parameters.
- Simulations revealed that test forms with different average speed sensitivity produced significantly different ability estimates for slow test takers.
- The disparity in ability estimates was particularly pronounced for high-ability individuals who were slower test takers.
Conclusions:
- The extended lognormal model for response times is recommended for calibrating item pools in high-stakes testing to ensure fairness and accurate ability estimation.
- Accounting for speed sensitivity is crucial for maintaining the comparability of ability estimates across different test forms.
- Further research is needed to address limitations and explore additional research questions related to speededness in testing.
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