Calibration of cognitive tests to address the reliability paradox for decision-conflict tasks

Kucina, Talira; Wells, Lindsay; Lewis, Ian; Salas, Kristy de; Kohl, Amelia; Palmer, Matthew A.; Sauer, James D.; Matzke, Dóra; Aidman, Eugene; Heathcote, Andrew · 2023 · Nature Communications

DOI: 10.1038/s41467-023-37777-2

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Summary

This paper addresses the "reliability paradox" in cognitive psychology, where standard decision-conflict tasks (such as the Flanker, Simon, and Stroop tasks) produce robust group-level effects but yield unreliable measurements of individual differences. The authors argue that traditional response time (RT) difference scores suffer from high measurement noise, requiring hundreds of trials to achieve acceptable reliability, which is impractical for most applications. To resolve this, the study aims to develop calibrated versions of these tasks that maximize conflict effects and minimize noise, thereby enabling reliable assessment of individual differences in cognitive control with fewer trials. The researchers conducted five experiments, refining task designs through preliminary testing before final validation. Key modifications included increasing stimulus salience, introducing a "double-shot" manipulation where participants occasionally had to respond based on the irrelevant attribute (forcing processing of conflicting information), and combining tasks (e.g., Stroopon, which merges Stroop and Simon elements). The tasks were presented in both gamified and non-gamified formats. Data were analyzed using hierarchical Bayesian models to directly estimate trait variance ($\sigma_T^2$) and measurement noise variance ($\sigma_N^2$), allowing for the calculation of trait precision ($\eta$) and the number of trials required to reach reliability thresholds of 0.8 and 0.9. These results were compared against archival data from standard versions of the tasks. The findings demonstrate that the calibrated tasks significantly improve measurement reliability. Specifically, the modified Flanker task and the combined Stroopon task produced reliable estimates of individual differences in under 100 trials per task. This represents a substantial improvement over benchmark data, which often requires over 400 trials to achieve similar reliability levels. The calibrated tasks achieved higher trait precision by increasing the magnitude of conflict effects and reducing noise variance. The study also found that while practice generally decreased overall response times, the proportional conflict effect remained stable, supporting the validity of the measurements. Notably, the non-gamified versions of the final tasks also showed improved reliability, indicating that the core design modifications, rather than just engagement factors, drove the gains. The significance of this work lies in providing practical, freely available tools for measuring individual differences in cognitive control with high reliability and efficiency. By addressing the reliability paradox, these calibrated tasks enable more accurate selection of individuals for roles requiring specific inhibitory skills and facilitate theoretical investigations into the structure of executive control. The authors conclude that abandoning RT difference scores is unnecessary if tasks are properly calibrated to maximize signal-to-noise ratios, offering a viable path forward for both applied and theoretical research in differential psychology.

Key finding

Calibrated versions of the Flanker and combined Stroopon tasks produced reliable estimates of individual differences in cognitive control using fewer than 100 trials, significantly outperforming standard benchmark tasks.

Methodology

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