4,590 responses from 459 respondents to 10 items.
One of 4 tables from the same source; this one measures Ruminative Responses Scale. The others are listed under Related tables.
| Description | Measures repetitive negative thinking with two subfactors: brooding (maladaptive moody pondering) and reflection (analytical self-introspection). |
|---|---|
| Reference | Elhai, J. D., & Casale, S. (2026). Is fear of missing out (FOMO) differentially related to underlying dimensions of negative affectivity? Analyzing latent factors of rumination, depression, and negative affect. Anxiety, Stress, & Coping, 1–13. https://doi.org/10.1080/10615806.2026.2624434 |
| DOI | 10.1080/10615806.2026.2624434 |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/pwfr54ss5p/1 |
| Responses | 4,590 |
|---|---|
| Respondents | 459 |
| Items | 10 |
| Response categories | 4 |
| Responses per respondent | 10 |
| Responses per item | 459 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Ruminative Responses Scale |
This codebook is reconstructed by the IRW from the IRW data standard. 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). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_sex | Covariate | not traced |
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("FomoNegativeAffect_cremer_2026_rrs")
# Python
pip install irw
import irw
df = irw.fetch("FomoNegativeAffect_cremer_2026_rrs")
@article{Elhai_2026, title={Is fear of missing out (FOMO) differentially related to underlying dimensions of negative affectivity? Analyzing latent factors of rumination, depression, and negative affect}, ISSN={1477-2205}, url={http://dx.doi.org/10.1080/10615806.2026.2624434}, DOI={10.1080/10615806.2026.2624434}, journal={Anxiety, Stress, & Coping}, publisher={Informa UK Limited}, author={Elhai, Jon D. and Casale, Silvia}, year={2026}, month=feb, pages={1–13} }
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v33.0 |
| Redivis dataset DOI | 10.57761/6m04-m698 |
| Manifest pin for this IRW version | v33.0 |
| Metadata source | irw_meta v39.0 |