goksel_2026_embarrassment_affectivetrust

1,800 responses from 300 respondents to 6 items.

One of 14 tables from the same source; this one measures Affective Trust. The others are listed under Related tables.

About this table

DescriptionAffective Trust
ReferenceGoksel, S., Sezer, O., & Berman, J. Z. (2026). Transcending embarrassment: On the reputational benefits of laughing at yourself.Journal of Personality and Social Psychology, 130(6), 1078–1101.
DOI10.1037/pspa0000477
LicenceCC BY 4.0
Source datahttps://osf.io/jwdq6/overview

Size and shape

Responses1,800
Respondents300
Items6
Response categories9
Responses per respondent6
Responses per item300
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameAffective Trust

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, goksel_2026_embarrassment.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate age
cov_attentionCovariate attention
cov_genderCovariate gender
cov_studyCovariate made in the build script

What item codes and covariate values stand for is in the source’s codebook, Codebook_Transcending Embarrassment.xlsx.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("goksel_2026_embarrassment_affectivetrust")
# Python
pip install irw

import irw
df = irw.fetch("goksel_2026_embarrassment_affectivetrust")

How to cite

@article{Goksel_2026, title={Transcending embarrassment: On the reputational benefits of laughing at yourself.}, volume={130}, ISSN={0022-3514}, url={http://dx.doi.org/10.1037/pspa0000477}, DOI={10.1037/pspa0000477}, number={6}, journal={Journal of Personality and Social Psychology}, publisher={American Psychological Association (APA)}, author={Goksel, Selin and Sezer, Ovul and Berman, Jonathan Z.}, year={2026}, month=June, pages={1078–1101} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_2 v33.0
Redivis dataset DOI10.57761/6m04-m698
Manifest pin for this IRW versionv33.0
Metadata sourceirw_meta v39.0