This README.txt file was generated on 2022-01-17 by Catherine Hobbs.

GENERAL INFORMATION

1. Title of Dataset: Dataset for “Individual differences in social evaluation learning and their association with psychopathology”

2. Author Information
	A. Principal Investigator Contact Information
		Name: Catherine Hobbs	
		Institution: University of Bath
		Address: Department of Psychology, University of Bath, BA2 7AY
		Email: c.hobbs@bath.ac.uk

	B. Associate or Co-investigator Contact Information
		Name: Katherine S Button	
		Institution: University of Bath
		Address: Department of Psychology, University of Bath, BA2 7AY
		Email: k.s.button@bath.ac.uk
 

3. Date of data collection: 2012-2020

4. Geographic location of data collection: For dataset 1 data collection took place in psychology labs at the Universities of Bath, Bristol, and Oxford. For dataset 2 all data collection took place remotely using online survey and cognitive task software.

5. Information about funding sources that supported the collection of the data: This study was supported by the University of Bath Psychology Departmental research funding. Catherine Hobbs was supported by a GW4 BioMed MRC Doctoral Training Partnership studentship.

SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: CC BY 4.0

2. Links to publications that cite or use the data: TBC

3. Links to other publicly accessible locations of the data: N/A

4. Links/relationships to ancillary data sets: N/A

5. Was data derived from another source?: No
6. Recommended citation for this dataset: Hobbs C, Hoffmann J, Hopkins A, Moutoussis M, Button KS (2022). Dataset for “Individual differences in social evaluation learning and their association with psychopathology”





DATA & FILE OVERVIEW

1. File List: 
- Dataset 1 Data Archive
o Data
* Dataset_1_aggregate_SEL_20_trials
* Dataset_1_aggregate_SEL_all_trials
* Dataset_1_trial_level_SEL_all_trials
* Dataset_1_Questionnaires
o Data Dictionary
DataDictionary_ Dataset_1
- Dataset 2 Data Archive
o Data
* Dataset_2_aggregate_SEL_20_trials
* Dataset_2_aggregate_SEL_32_trials
* Dataset_2_trial_level_SEL_32_trials
* Dataset_2_Questionnaires
o Data Dictionary
DataDictionary_ Dataset_2

2. Relationship between files, if important: 
In the 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.

3. Additional related data collected that was not included in the current data package: 
Data that may have identified participants has been removed.

4. Are there multiple versions of the dataset? No

METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 
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). To assess the reliability of our findings from dataset 1, we collected a second independent dataset using the online recruitment platform Prolific (dataset 2). 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 he self and a fictional other based on the computers’ feedback to selection of a positive or negative social evaluative word pairs

2. Methods for processing the data: 
All data was cleaned and analysed using R. 

3. Instrument- or software-specific information needed to interpret the data: 
R version 4.0.5

4. Data specific Information 
Full details of the variables included in each dataset are available in the data dictionaries.