1,868 responses from 187 respondents to 10 items.
| Description | Emotional Regulation Questionnaire (ERQ, 10 items), health workers during COVID-19, N=187 |
|---|---|
| Reference | García-Batista ZE, Guerra-Peña K, Nouri Kandany V, Marte MI, Garrido LE, Cantisano-Guzmán LM, et al. (2021). COVID-19 pandemic and health worker stress: The mediating effect of emotional regulation. PLOS ONE, 16(11), e0259013. https://doi.org/10.1371/journal.pone.0259013 |
| DOI | 10.1371/journal.pone.0259013 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0259013.s002 |
| Responses | 1,868 |
|---|---|
| Respondents | 187 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 9.989 |
| Responses per item | 186.800 |
| Density | 0.999 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Workplace |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Emotion Regulation Questionnaire (ERQ) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | -3.400 |
cov_agecov_centercov_chpccov_citycov_cpcdcov_esccov_marital_statuscov_occupationcov_rankcov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("garciabatista_2021_erq")
# Python
pip install irw
import irw
df = irw.fetch("garciabatista_2021_erq")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |