manysmiles_coles_2022_emotion

150,588 responses from 4,267 respondents to 9 items.

One of 2 tables from the same source; this one is the emotion table. The others are listed under Related tables.

About this table

DescriptionMany Smiles Collaboration: nine self-reported emotion items (1-7) answered after each of four trials (first filler, neutral pose, happy pose, last filler; trial_pose); 4,267 participants in 27 labs. cov_condition = facial-feedback method (pen task, directed action, mimicry), cov_image = positive images present; cluster_id = lab. 150,588 rows.
ReferenceColes, N. A., March, D. S., Marmolejo-Ramos, F., Larsen, J. T., Arinze, N. C., Ndukaihe, I. L. G., ... & Liuzza, M. T. (2022). A multi-lab test of the facial feedback hypothesis by the Many Smiles Collaboration. Nature Human Behaviour, 6(12), 1731-1742.
DOI10.1038/s41562-022-01458-9
LicenceCC0 1.0
Source datahttps://osf.io/ac3t2/

Size and shape

Responses150,588
Respondents4,267
Items9
Response categories7
Responses per respondent35.291
Responses per item16,732
Density3.921
LongitudinalFALSE

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, manysmiles_coles_2022.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
cluster_idIRW standard The group a focal unit is nested in — classroom, teacher, school.made in the build script
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_conditionCovariate made in the build script
cov_imageCovariate made in the build script
Other columns
trial_poseNot documented Trial-level details in repeated-trial designs: the trial index (trial_number), block, list, and so on.made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

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("manysmiles_coles_2022_emotion")
# Python
pip install irw

import irw
df = irw.fetch("manysmiles_coles_2022_emotion")

How to cite

@article{Coles_2022, title={A multi-lab test of the facial feedback hypothesis by the Many Smiles Collaboration}, volume={6}, ISSN={2397-3374}, url={http://dx.doi.org/10.1038/s41562-022-01458-9}, DOI={10.1038/s41562-022-01458-9}, number={12}, journal={Nature Human Behaviour}, publisher={Springer Science and Business Media LLC}, author={Coles, Nicholas A. and March, David S. and Marmolejo-Ramos, Fernando and Larsen, Jeff T. and Arinze, Nwadiogo C. and Ndukaihe, Izuchukwu L. G. and Willis, Megan L. and Foroni, Francesco and Reggev, Niv and Mokady, Aviv and Forscher, Patrick S. and Hunter, John F. and Kaminski, Gwenaël and Yüvrük, Elif and Kapucu, Aycan and Nagy, Tamás and Hajdu, Nandor and Tejada, Julian and Freitag, Raquel M. K. and Zambrano, Danilo and Som, Bidisha and Aczel, Balazs and Barzykowski, Krystian and Adamus, Sylwia and Filip, Katarzyna and Yamada, Yuki and Ikeda, Ayumi and Eaves, Daniel L. and Levitan, Carmel A. and Leiweke, Sydney and Parzuchowski, Michal and Butcher, Natalie and Pfuhl, Gerit and Basnight-Brown, Dana M. and Hinojosa, José A. and Montoro, Pedro R. and Javela D, Lady G. and Vezirian, Kevin and IJzerman, Hans and Trujillo, Natalia and Pressman, Sarah D. and Gygax, Pascal M. and Özdoğru, Asil A. and Ruiz-Fernandez, Susana and Ellsworth, Phoebe C. and Gaertner, Lowell and Strack, Fritz and Marozzi, Marco and Liuzza, Marco Tullio}, year={2022}, month=Oct, pages={1731–1742} }

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0