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Using Ensembles of Cognitive Models to Answer Substantive Questions


Singmann, Henrik; Kellen, David; Mizrak, Eda; Öztekin, Ilke (2018). Using Ensembles of Cognitive Models to Answer Substantive Questions. : PsyArXiv.

Abstract

<p>Cognitive measurement models decompose observed behavior into latent cognitive processes. For situations with more than one condition, such models allow to test hypotheses on the level of the latent processes. We propose a fully Bayesian ensemble model approach to test hypotheses on the level of the latent processes in situations in which multiple measurement models or model classes exist. In the first step, one needs to perform a Bayesian model selection step comparing the hypotheses within each model class. Aggregating the results of the first step yields ensemble posterior model probabilities. We provide an example for a working memory data set using an ensemble of a resource model and a slots model.</p>

Abstract

<p>Cognitive measurement models decompose observed behavior into latent cognitive processes. For situations with more than one condition, such models allow to test hypotheses on the level of the latent processes. We propose a fully Bayesian ensemble model approach to test hypotheses on the level of the latent processes in situations in which multiple measurement models or model classes exist. In the first step, one needs to perform a Bayesian model selection step comparing the hypotheses within each model class. Aggregating the results of the first step yields ensemble posterior model probabilities. We provide an example for a working memory data set using an ensemble of a resource model and a slots model.</p>

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Additional indexing

Item Type:Scientific Publication in Electronic Form
Communities & Collections:06 Faculty of Arts > Institute of Psychology
Dewey Decimal Classification:150 Psychology
Language:English
Date:2018
Deposited On:11 Nov 2019 14:25
Last Modified:12 Nov 2019 04:16
Publisher:PsyArXiv
Number of Pages:6
OA Status:Green
Publisher DOI:https://doi.org/10.31234/osf.io/rg4sz
Official URL:https://psyarxiv.com/rg4sz/
Related URLs:http://osf.io/km9ud/ (Research Data)

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