This new paper in the Journal of Mathematical Psychology analyses experiment-based validation in a probability-theoretic model. We show that the boundary conditions of this approach also apply to any form of criterion validity, e.g. classical convergent validity. If competing measurement methods tap into different latent variables, calibration will favour methods that tap into the latent variable most closely related to the experimental manipulation. Finally, we provide a simple data-generating formalism that can be used for simulations.
New Article on Experiment-Based Calibration in Psychology Published New Article on Experiment-Based Calibration in Psychology Published
New theory paper out on experiment-based calibration: formal model, relation to criterion validity, role of confounds, and data-generation model
This new paper in the Journal of Mathematical Psychology analyses experiment-based validation in a probability-theoretic model. We show that the boundary conditions of this approach also apply to any form of criterion validity, e.g. classical convergent validity. If competing measurement methods tap into different latent variables, calibration will favour methods that tap into the latent variable most closely related to the experimental manipulation. Finally, we provide a simple data-generating formalism that can be used for simulations.
Experiment-based calibration
- Illustration of the probabilistic set-up (Fig. 1). The box encloses the foundational calibration model, surrounded by additional elements that illustrate the generative calibration model, which makes additional assumptions.
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Bach DR (2025). Experiment-based calibration in psychology: Foundational and data-generating model. Journal of Mathematical Psychology, 127, 102950. https://doi.org/10.1016/j.jmp.2025.102950 .