2,436 responses from 174 respondents to 14 items.
| Description | Cognitive Emotion-Regulation Questionnaire |
|---|---|
| Reference | Schubert, A.-L., Frischkorn, G. T., Sadus, K., Welhaf, M., Kane, M. J., & Rummel, J. (2024, June 13). Online Supplement: The brief mind wandering three-factor scale. Retrieved from osf.io/mxn3v |
| DOI | 10.3758/s13428-024-02500-6 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/mxn3v/ |
| Responses | 2,436 |
|---|---|
| Respondents | 174 |
| Items | 14 |
| Response categories | 7 |
| Responses per respondent | 14 |
| Responses per item | 174 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, General/non-specific |
| construct type | Affective/mental health, Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ger, eng |
| construct name | Cognitive Emotion-Regulation Questionnaire |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Cognitive Emotion-Regulation Questionnaire |
|---|---|
| Mean words per item | 14.511 |
| Mean characters per item | 76.100 |
| Mean characters per response | 6.222 |
| Flesch-Kincaid grade level | 7.362 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("OS_TBMWTFS_Schubert_2023_CERQ")
# Python
pip install irw
import irw
df = irw.fetch("OS_TBMWTFS_Schubert_2023_CERQ")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |