manylabs4_klein_2022_essay

22,118 responses from 2,239 respondents to 10 items.

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

About this table

DescriptionMany Labs 4: ratings of a pro-US and an anti-US essay and author, five items each (1-9), the mortality-salience dependent measure; 2,239 participants at 21 lab sources. treat = 1 mortality salience, 0 control; cluster_id = source; cov_expert. Site entry errors outside 1-9 stored as missing. 22,118 rows.
ReferenceKlein, R. A., Cook, C. L., Ebersole, C. R., Vitiello, C., Nosek, B. A., Hilgard, J., ... & Ratliff, K. A. (2022). Many Labs 4: Failure to replicate mortality salience effect with and without original author involvement. Collabra: Psychology, 8(1), 35271.
DOI10.1525/collabra.35271
LicenceCC0 1.0
Source datahttps://osf.io/8ccnw/

Size and shape

Responses22,118
Respondents2,239
Items10
Response categories9
Responses per respondent9.879
Responses per item2211.800
Density0.988
LongitudinalFALSE

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, manylabs4_klein_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
treatIRW standard Treatment group assignment in experimental studies.made in the build script
Respondent covariates
cov_expertCovariate 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("manylabs4_klein_2022_essay")
# Python
pip install irw

import irw
df = irw.fetch("manylabs4_klein_2022_essay")

How to cite

@article{Klein_2022, title={Many Labs 4: Failure to Replicate Mortality Salience Effect With and Without Original Author Involvement}, volume={8}, ISSN={2474-7394}, url={http://dx.doi.org/10.1525/collabra.35271}, DOI={10.1525/collabra.35271}, number={1}, journal={Collabra: Psychology}, publisher={University of California Press}, author={Klein, Richard A and Cook, Corey L. and Ebersole, Charles R. and Vitiello, Christine and Nosek, Brian A. and Hilgard, Joseph and Ahn, Paul Hangsan and Brady, Abbie J. and Chartier, Christopher R. and Christopherson, Cody D. and Clay, Samuel and Collisson, Brian and Crawford, Jarret T. and Cromar, Ryan and Gardiner, Gwendolyn and Gosnell, Courtney L. and Grahe, Jon and Hall, Calvin and Howard, Irene and Joy-Gaba, Jennifer A. and Kolb, Miranda and Legg, Angela M. and Levitan, Carmel A. and Mancini, Anthony D. and Manfredi, Dylan and Miller, Jason and Nave, Gideon and Redford, Liz and Schlitz, Ilaria and Schmidt, Kathleen and Skorinko, Jeanine L. M. and Storage, Daniel and Swanson, Trevor and Van Swol, Lyn M. and Vaughn, Leigh Ann and Vidamuerte, Devere and Wiggins, Brady and Ratliff, Kate A.}, editor={Inbar, Yoel}, year={2022} }

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