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Maximizing the Expected Information Gain of Cognitive Modeling via Design Optimization
Date created: 2019-06-24 12:13 PM | Last Updated: 2019-07-04 11:58 AM
Identifier: DOI 10.17605/OSF.IO/XEHK5
Category: Project
Description: Supplementary material for the manuscript: Heck, D. W., & Erdfelder, E. (2019). Maximizing the expected information gain of cognitive modeling via design optimization. Manuscript under revision.
Abstract
To ensure robust scientific conclusions, cognitive modelers should optimize planned experimental designs a priori in order to maximize the expected information gain for answering the substantive question of interest. Both from the perspective of philosophy of science, but also within classical and Bayesian statistics, it is crucial to tailor empirical studies to the specific cognitive mod…
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