Dataset supporting the paper: High trait anxiety enhances optimal integration of auditory and visual threat cues

This dataset includes data on behavioural outcomes for the audiovisual emotion recognition tasks used in the publication, "High Trait Anxiety Enhances Optimal Integration of Auditory and Visual Threat Cues". In this study the authors investigated perception of happy, sad and angry emotions within unimodal (audio- and visual-only) and audiovisual displays in adults with low vs. high levels of trait anxiety. The data is organised to facilitate replication of the analyses carried out in the aforementioned study, which includes two model-based analyses to elucidate how multisensory integration of emotional information operates in high trait anxiety. This was done by comparing performance in the audiovisual condition for both high and low trait anxiety groups to performance predicted by the Maximum Likelihood Estimation (MLE) model (Ernst & Banks, 2002; Rohde et al., 2016) and Miller’s Race Model (Miller, 1982; Ulrich et al., 2007). Data included in this dataset has already been pre-processed (i.e., univariate outliers have already been identified and dealt with).

Keywords:
Anxiety, Emotion, Multisensory processing, Negative bias, Maximum Likelihood Estimation, Race Model Inequality
Subjects:
Psychology

Cite this dataset as:
Heffer, N., 2021. Dataset supporting the paper: High trait anxiety enhances optimal integration of auditory and visual threat cues. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01023.

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Data

Mean Accuracy Data.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (14kB)
Creative Commons: Attribution 4.0

Mean Reaction Times.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (19kB)
Creative Commons: Attribution 4.0

MLE Model Analysis.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (15kB)
Creative Commons: Attribution 4.0

Race Model Analysis.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (109kB)
Creative Commons: Attribution 4.0

Creators

Naomi Heffer
University of Bath

Contributors

Molly Gradidge
Data Collector
University of Bath

Anke Karl
Supervisor
University of Exeter

Chris Ashwin
Supervisor
University of Bath

Karin Petrini
Supervisor
University of Bath

University of Bath
Rights Holder

Documentation

Data collection method:

This dataset contains data for behavioural outcomes from the audiovisual emotion recognition task described in the paper: "High Trait Anxiety Enhances Optimal Integration of Auditory and Visual Threat Cues". Participants made emotional judgements about dynamic face and voice stimuli, having to classify them as being either happy, angry or sad by a making a speeded key press. The task included three different stimulus modality conditions: visual-only (faces), audio-only (voices) and audiovisual (faces and voices together). The stimuli were approximately 500ms long and visual noise was added to the central face region of the videos by the addition of a Gaussian blur. Participants were screened before they were recruited in the study such that only individuals with a trait anxiety score of 37 or below (low anxiety group) and 48 or above (high anxiety group) were included. The trait subscale of the Spielberger State-Trait Anxiety scale was used to measure trait anxiety.

Data processing and preparation activities:

All the data in this dataset has been anonymised prior to sharing. Univariate outliers were identified as datapoints lying more than +/- 3 times the value of the interquartile range from the median value. Outliers have been winsorized prior to sharing (i.e. replaced with the next most extreme non-outlier value in the dataset).

Technical details and requirements:

Analyses of violation of the race model inequality were carried out using the RMITest software which implements the algorithm described in Ulrich et al. (2007).

Additional information:

Information on the layout of the data has been provided in the README sheet in each Excel spreadsheet file.

Funders

Medical Research Council (MRC)
https://doi.org/10.13039/501100000265

Examining the link between multisensory and socio-emotional processing in anxiety and post-traumatic stress disorder
2110628

Publication details

Publication date: 15 September 2021
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-01023

URL for this record: https://researchdata.bath.ac.uk/id/eprint/1023

Related papers and books

Heffer, N., Gradidge, M., Karl, A., Ashwin, C. and Petrini, K., 2021. High trait anxiety enhances optimal integration of auditory and visual threat cues. Journal of Behavior Therapy and Experimental Psychiatry, p.101693. Available from: https://doi.org/10.1016/j.jbtep.2021.101693.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Naomi Heffer

Departments:

Faculty of Humanities & Social Sciences
Psychology