Demonstrates the challenges of using hybrid baselines for valid interpretations of longitudinal behavioral data, highlighting implications for behavioral science.
Establishing whether observed behavioral differences reflect meaningful change in an individual necessitates baselines specific to the individual and task. Automated hybrid solutions combine adaptive baselines with fixed thresholds. Applying this approach to behavioral science harbors challenges: the pronounced gap between observable measurement and underlying construct means ground truth is typically unavailable. A stepwise framework is proposed to determine and evaluate the validity of baselines for longitudinal behavioral measurements.
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Just et al. (2026) studied this question.
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