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Analyzing facial expression decision times: Reaction time distribution matters.

Tipples, J (2022) Analyzing facial expression decision times: Reaction time distribution matters. Emotion, 23 (3). pp. 688-707. ISSN 1528-3542

Item Type: Article

Abstract

People can decide whether a person appears either angry or happy in less than 1 second. Despite such speed, research shows that expression decisions are influenced by other facial attributes such as face sex. Nonetheless, specific patterns including participant sex differences remain unclear. Here, multiverse and distributional analyses clarify inconsistent results—participant sex differences for reaction time (RT) analyses were dependent on either an outlier removal method that effectively reduced the skew of the distribution or a specific distribution chosen to model the data. A further finding was that the patten of the Face Sex × Expression interaction effect for female participants differed markedly across the stimulus sets. The Diffusion Model, ex-Gaussian, ex-Wald, shifted Wald, and related distributions are recommended as replacements for analyses of mean RTs, rather than supplementary techniques. An extended analyses using the ex-Gaussian model is provided as an example. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

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More Information

Uncontrolled Keywords: ex-Gaussian, facial expressions, reaction times, stereotypes
Related URLs:
Depositing User: Jason Tipples

Identifiers

Item ID: 16090
Identification Number: https://doi.org/10.1037/emo0001098
ISSN: 1528-3542
URI: http://sure.sunderland.ac.uk/id/eprint/16090
Official URL: https://psycnet.apa.org/record/2022-65163-001#:~:t...

Users with ORCIDS

ORCID for J Tipples: ORCID iD orcid.org/0000-0002-0501-2129

Catalogue record

Date Deposited: 11 May 2023 16:13
Last Modified: 11 Jul 2023 08:02

Contributors

Author: J Tipples ORCID iD

University Divisions

Faculty of Health Sciences and Wellbeing > School of Psychology

Subjects

Psychology > Cognitive Behaviour
Psychology

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