12,836 responses from 3,213 respondents to 4 items.
One of 7 tables from the same source; this one is the stress table. The others are listed under Related tables.
| Description | Many Labs 3: Perceived Stress Scale, 4 items (1-5, as coded); 3,213 participants at 21 sites. cluster_id = site. 12,836 rows. |
|---|---|
| Reference | Ebersole, 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. |
| DOI | 10.1016/j.jesp.2015.10.012 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/ct89g/ |
| Responses | 12,836 |
|---|---|
| Respondents | 3,213 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 3.995 |
| Responses per item | 3,209 |
| Density | 0.999 |
| Longitudinal | FALSE |
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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
cluster_id | IRW standard The group a focal unit is nested in — classroom, teacher, school. | made in the build script |
id | IRW 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 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW 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.
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_stress")
# Python
pip install irw
import irw
df = irw.fetch("manylabs3_ebersole_2016_stress")
@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} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |