Dataset for “Lack of optimistic biases in depression and social anxiety is reflected in reduced positive self-beliefs, but distinct processing of social feedback”

This study aimed to examine learning of social evaluations associated with psychopathology. We used two independent datasets (n = 552 and n = 807) to assess the relationship between depression (PHQ-9), social anxiety (BFNE), and learning of positive and negative evaluations about the self and an other.

Keywords:
social cognition, depression, social anxiety
Subjects:
Psychology

Cite this dataset as:
Hobbs, K., Hoffmann, J., Button, K., 2023. Dataset for “Lack of optimistic biases in depression and social anxiety is reflected in reduced positive self-beliefs, but distinct processing of social feedback”. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-01108.

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Data

Dataset 2 Data Archive.zip
application/zip (1MB)
Creative Commons: Attribution 4.0

Dataset comprised of individual participant level data from participants recruited online with data for the social evaluation learning task and self-report measures of depression and social anxiety (dataset 2).

Mixed access regime: The files from dataset 2 are available as open access, however as studies in dataset 1 did not obtain consent from participants to publish data as open access this data has been made available only to bona fide researchers with ethical approval.

Creators

Katie Hobbs
University of Bath

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

This study aimed to examine learning of social evaluations associated with psychopathology. We created two datasets for this study. Firstly, we collated individual participant data from ten studies previously collected within this research group (dataset 1; n = 552). To assess the reliability of our findings from dataset 1, we collected a second independent dataset using the online recruitment platform Prolific (dataset 2; n = 807). In both datasets participants completed self-report measures of mood including depression (PHQ-9) and social anxiety (BFNE), and a computerised cognitive task where participants were asked to learn whether the computer liked the self and a fictional other based on the computers’ feedback to selection of a positive or negative social evaluative word pairs. In dataset 1 participants completed the study materials in psychology labs under the supervision of researchers. In dataset 2 participants completed the study materials independenly using online survey (qualtrics) and cognitive task (inquisit) software.

Data processing and preparation activities:

Data was anonymised through assignment of unique subject IDs and removal of potentially identifying information.

Technical details and requirements:

R version 4.0.5

Additional information:

In the associated manuscript for this study we report findings from two datasets. Our first dataset was comprised of individual participant level data from ten studies previously conducted within this research group (dataset 1). To validate the findings of this first dataset, we collected a second independent dataset using the online recruitment platform Prolific (dataset 2). The files from dataset 2 are available as open access, however as studies in dataset 1 did not obtain consent from participants to publish data as open access this data has been made available under restricted access conditions. Four different data files are included for each dataset relating to (1) questionnaire measures (2) trial level social evaluation learning task data, (3) aggregate level SEL task outcome data for all trials completed per referential condition-rule block, and (4) aggregate level SEL task outcome data for 20 trials completed per referential condition-rule block. In our analyses for aggregated data we used the files with 20 trials to match with the minimum number of trials completed in one study in dataset 1.

Methodology link:

Hoffmann, J., Hobbs, C., Button, K., Hopkins, A. K., and Moutoussis, M., 2020. Individual differences in social evaluation learning. Open Science Framework. Available from: https://doi.org/10.17605/OSF.IO/HX6P9.

Documentation Files

README.txt
text/plain (4kB)
Creative Commons: Attribution 4.0

Legal and Ethical Documents

Consent.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (14kB)
Creative Commons: Attribution 4.0

Consent form for dataset 2

Funders

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

GW4 BioMed MRC Doctoral Training Partnership
MR/N0137941/1

Publication details

Publication date: 2 July 2023
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-01108

URL for this record: https://researchdata.bath.ac.uk/id/eprint/1108

Related papers and books

Hoffmann, J. A., Hobbs, C., Moutoussis, M., and Button, K. S., 2023. Lack of optimistic biases in depression and social anxiety is reflected in reduced positive self-beliefs, but distinct processing of social feedback. Center for Open Science. Available from: https://doi.org/10.31234/osf.io/h6ety.

Related theses

Hobbs, C., 2022. A neurocognitive investigation of the role of reinforcement learning in updating dysfunctional self-schema in depression: A putative mechanism for antidepressant action? (Alternative Format Thesis). Thesis (PhD). University of Bath. Available from: https://researchportal.bath.ac.uk/en/studentTheses/a-neurocognitive-investigation-of-the-role-of-reinforcement-learn.

Contact information

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

Contact person: Katherine Button

Departments:

Faculty of Humanities & Social Sciences
Psychology