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General fluid/inductive reasoning battery for a high-ability population.

Behavior research methods·2018

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Using response time data to reduce testing time in cognitive tests.

Maria Bertling¹, Jonathan P Weeks²

¹Harvard Graduate School of Education.

Psychological Assessment

|April 28, 2017

Summary

Incorporating response times into psychometric models can create shorter fluid reasoning tests. This method enhances ability estimates without sacrificing score reliability, optimizing assessment efficiency.

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Area of Science:

Psychometrics
Cognitive Psychology
Educational Measurement

Background:

Traditional achievement estimates rely on correct scores or Item Response Theory (IRT) parameters.
Advanced psychometric models integrate response times with response data for joint estimation of speed and item parameters.

Purpose of the Study:

To apply joint estimation models to fluid reasoning measures.
To assess the impact of incorporating response times on ability estimates.
To explore the potential for developing shorter test forms.

Main Methods:

Application of psychometric models for joint estimation of speed and ability parameters.
Analysis of response time data alongside traditional response data.
Evaluation of precision increase in ability estimates with response time data.

Main Results:

Fluid reasoning measures were administered to a large, highly educated sample.
Incorporating response times increased the precision of ability estimates.
Test forms could potentially be shortened without compromising score reliability.

Conclusions:

Response time data offers valuable information for improving ability estimation.
Joint modeling of response and response time data enables efficient test development.
This approach holds promise for creating more efficient and reliable assessments.