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No need to collect more data: ex-Gaussian modelling of existing data (Craig & Lipp, 2018) reveals an interactive effect of face race and face sex on speeded expression recognition

Tipples, Jason (2022) No need to collect more data: ex-Gaussian modelling of existing data (Craig & Lipp, 2018) reveals an interactive effect of face race and face sex on speeded expression recognition. Cognition and emotion, 36 (7). pp. 1440-1447. ISSN 0269-9931

Item Type: Article

Abstract

The results of a previous study (Craig & Lipp, 2018) into the effects of multiple social category cues (face race and face sex) on facial emotion recognition indicate that face sex dominates face race, and moreover, participant sex differences contribute little to the observed effects. Here, I modelled the same dataset (https://osf.io/rsmxb/) using the ex-Gaussian, a distribution that is 1) well suited to RT data and 2) separates slow from relatively fast influences. Corroborating recent results (Tipples, 2022) current results show larger effects of face sex (for the faces of White individuals) for female participants. Further novel interaction effects were revealed. For example, results support a different time course for the influence of face sex on expression for the faces of Black compared to White individuals.

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More Information

Depositing User: Jason Tipples

Identifiers

Item ID: 17749
Identification Number: https://doi.org/10.1080/02699931.2022.2120850
ISSN: 0269-9931
URI: http://sure.sunderland.ac.uk/id/eprint/17749
Official URL: https://www.tandfonline.com/doi/full/10.1080/02699...

Users with ORCIDS

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

Catalogue record

Date Deposited: 25 Jun 2024 08:17
Last Modified: 25 Jun 2024 08:17

Contributors

Author: Jason Tipples ORCID iD

University Divisions

Faculty of Health Sciences and Wellbeing > School of Psychology

Subjects

Psychology

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