60,697 responses from 1,535 respondents to 60 items.
One of 2 tables from the same source; this one is the panasx table. The others are listed under Related tables.
| Description | Many Labs 4: PANAS-X, 60 adjective items (1-5) after a mortality-salience or television-control writing task; 1,535 participants at 21 lab sources. treat = 1 mortality salience, 0 control; cluster_id = source; cov_expert = expert-designed protocol. 60,697 rows. |
|---|---|
| Reference | Klein, 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. |
| DOI | 10.1525/collabra.35271 |
| Licence | CC0 1.0 |
| Source data | https://osf.io/8ccnw/ |
| Responses | 60,697 |
|---|---|
| Respondents | 1,535 |
| Items | 60 |
| Response categories | 5 |
| Responses per respondent | 39.542 |
| Responses per item | 1011.617 |
| Density | 0.659 |
| Longitudinal | FALSE |
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.
| 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 |
treat | IRW standard Treatment group assignment in experimental studies. | made in the build script |
| Respondent covariates | ||
cov_expert | Covariate | 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("manylabs4_klein_2022_panasx")
# Python
pip install irw
import irw
df = irw.fetch("manylabs4_klein_2022_panasx")
@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} }
| 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 |