7,810 responses from 781 respondents to 10 items.
One of 8 tables from the same source; this one is the anger table. The others are listed under Related tables.
| Description | Spielberger Trait-Anger Scale, 10 items rated 1 (almost never) to 4 (almost always). US native-English-speaking MTurk workers (June 2022), registered-report replication of Lerner & Keltner (2001). N=781. |
|---|---|
| Reference | Lu S, Efendic E, Feldman G (2026). Associations of fear, anger, happiness, and hope with risk judgments: Revisiting appraisal-tendency framework with a replication and extensions registered report of Lerner and Keltner (2001). Journal of Personality and Social Psychology, 131(4). https://doi.org/10.1037/pspp0000586 |
| DOI | 10.1037/pspp0000586 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/t5kz9/ |
| Responses | 7,810 |
|---|---|
| Respondents | 781 |
| Items | 10 |
| Response categories | 4 |
| Responses per respondent | 10 |
| Responses per item | 781 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, lu_2026_risk_emotion.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 | ||
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 |
| Respondent covariates | ||
cov_age | Covariate | age |
cov_analysis_sample | Covariate | made in the build script |
cov_attn_checks_passed | Covariate | made in the build script |
cov_gender | Covariate 1 = Male · 2 = Female · 3 = Other · 4 = Rather not disclose | gender |
cov_married | Covariate 1 = Not married · 2 = Married or engaged | marital_ |
cov_parent | Covariate 1 = Yes · 2 = No | parent_ |
cov_serious | Covariate | serious |
cov_soc_class | Covariate 1 = Lower class · 2 = Working class · 3 = Lower Middle class · 4 = Middle class · 5 = Upper Middle class · 6 = Upper class | soc_class |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled values stand for is in the source’s codebook, CODEBOOK.csv.
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("lu_2026_anger")
# Python
pip install irw
import irw
df = irw.fetch("lu_2026_anger")
@article{Lu2026,
author = {Lu, S. and Efendic, E. and Feldman, G.},
year = {2026},
title = {Associations of fear, anger, happiness, and hope with risk judgments: {R}evisiting appraisal-tendency framework with a replication and extensions registered report of {L}erner and {K}eltner (2001)},
journal = {Journal of Personality and Social Psychology},
volume = {131},
number = {4},
doi = {10.1037/pspp0000586},
url = {https://osf.io/t5kz9/}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |