manylabs3_ebersole_2016_intrinsic

47,926 responses from 3,200 respondents to 15 items.

One of 7 tables from the same source; this one is the intrinsic table. The others are listed under Related tables.

About this table

DescriptionMany Labs 3: 15 Work Preference Inventory intrinsic-motivation items (1-4); 3,200 participants at 21 sites. cluster_id = site. 47,926 rows.
ReferenceEbersole, C. R., Atherton, O. E., Belanger, A. L., Skulborstad, H. M., Allen, J. M., Banks, J. B., ... & Nosek, B. A. (2016). Many Labs 3: Evaluating participant pool quality across the academic semester via replication. Journal of Experimental Social Psychology, 67, 68-82.
DOI10.1016/j.jesp.2015.10.012
LicenceCC BY 4.0
Source datahttps://osf.io/ct89g/

Size and shape

Responses47,926
Respondents3,200
Items15
Response categories4
Responses per respondent14.977
Responses per item3195.067
Density0.998
LongitudinalFALSE

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, manylabs3_ebersole_2016.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

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("manylabs3_ebersole_2016_intrinsic")
# Python
pip install irw

import irw
df = irw.fetch("manylabs3_ebersole_2016_intrinsic")

How to cite

@article{Ebersole_2016, title={Many Labs 3: Evaluating participant pool quality across the academic semester via replication}, volume={67}, ISSN={0022-1031}, url={http://dx.doi.org/10.1016/j.jesp.2015.10.012}, DOI={10.1016/j.jesp.2015.10.012}, journal={Journal of Experimental Social Psychology}, publisher={Elsevier BV}, author={Ebersole, Charles R. and Atherton, Olivia E. and Belanger, Aimee L. and Skulborstad, Hayley M. and Allen, Jill M. and Banks, Jonathan B. and Baranski, Erica and Bernstein, Michael J. and Bonfiglio, Diane B.V. and Boucher, Leanne and Brown, Elizabeth R. and Budiman, Nancy I. and Cairo, Athena H. and Capaldi, Colin A. and Chartier, Christopher R. and Chung, Joanne M. and Cicero, David C. and Coleman, Jennifer A. and Conway, John G. and Davis, William E. and Devos, Thierry and Fletcher, Melody M. and German, Komi and Grahe, Jon E. and Hermann, Anthony D. and Hicks, Joshua A. and Honeycutt, Nathan and Humphrey, Brandon and Janus, Matthew and Johnson, David J. and Joy-Gaba, Jennifer A. and Juzeler, Hannah and Keres, Ashley and Kinney, Diana and Kirshenbaum, Jacqeline and Klein, Richard A. and Lucas, Richard E. and Lustgraaf, Christopher J.N. and Martin, Daniel and Menon, Madhavi and Metzger, Mitchell and Moloney, Jaclyn M. and Morse, Patrick J. and Prislin, Radmila and Razza, Timothy and Re, Daniel E. and Rule, Nicholas O. and Sacco, Donald F. and Sauerberger, Kyle and Shrider, Emily and Shultz, Megan and Siemsen, Courtney and Sobocko, Karin and Weylin Sternglanz, R. and Summerville, Amy and Tskhay, Konstantin O. and van Allen, Zack and Vaughn, Leigh Ann and Walker, Ryan J. and Weinberg, Ashley and Wilson, John Paul and Wirth, James H. and Wortman, Jessica and Nosek, Brian A.}, year={2016}, month=Nov, pages={68–82} }

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