A statistical model for discriminating between subliminal and near-liminal performance

Morey, Richard D. ORCID: https://orcid.org/0000-0001-9220-3179, Rouder, Jeffrey N. and Speckman, Paul L. 2008. A statistical model for discriminating between subliminal and near-liminal performance. Journal of Mathematical Psychology 52 (1) , pp. 21-36. 10.1016/j.jmp.2007.09.007

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Abstract

The concept of a psychophysical threshold is foundational in perceptual psychology. In practice, thresholds are operationalized as stimulus values that lead to a fairly high level of performance such as .75 or .707 in two-choice tasks. These operationalizations are not useful for assessing subliminality—the state in which a stimulus is so weak that performance is at chance. We present a hierarchical Bayesian model of performance that incorporates a threshold that divides subliminal from near-liminal performance. The model provides a convenient means to measure at-chance thresholds and therefore is useful for testing theories of subliminal priming. The hierarchical nature of the model is critical for efficient analysis as strength is pooled across people and stimulus values. A comparison to Rasch psychometric models is provided.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Psychology
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Uncontrolled Keywords:	Subliminal; Priming; Psychophysics; Psychometrics; Rasch; Bayesian statistics; Hierarchical models; MAC; Mass at chance; Chance performance.
Publisher:	Elsevier
ISSN:	0022-2496
Last Modified:	27 Oct 2022 10:07
URI:	https://orca.cardiff.ac.uk/id/eprint/68971

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