33,506 responses from 319 respondents to 5 items.
One of 9 tables from the same source; this one is the emotion_regulation table. The others are listed under Related tables.
| Description | Momentary emotion regulation since the last survey, 5 items adapted from the Heidelberg Form for Emotion Regulation Strategies, 1 (not at all) to 7 (very): three reappraisal items, suppression, rumination; -1 (not applicable) dropped. 319 people. STECCO ambulatory assessment: German first-year university students, 14 days (April-July 2021), five quasi-random ESM beeps a day plus an end-of-day questionnaire. wave is each person's report number in time order across ESM and end-of-day reports (shared across the nine neubauer_2023_stecco tables); date is the report start time in Unix seconds. Covariates: cov_gender, cov_age (from the baseline questionnaire). |
|---|---|
| Reference | Neubauer, A. B., & Schmiedek, F. (2023). Approaching academic adjustment on multiple time scales. Zeitschrift für Erziehungswissenschaft, 27(1), 147-168. |
| DOI | 10.1007/s11618-023-01182-8 |
| Licence | CC BY 4.0 |
| Source data | https://zenodo.org/records/17347975 |
These data were found via openESM, where additional metadata for this dataset are available.
| Responses | 33,506 |
|---|---|
| Respondents | 319 |
| Items | 5 |
| Response categories | 7 |
| Responses per respondent | 105.034 |
| Responses per item | 6701.200 |
| Density | 21.007 |
| Longitudinal | TRUE |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Momentary emotion regulation, adapted from the Heidelberg Form for Emotion Regulation Strategies (Izadpanah et al. 2019) |
|---|---|
| Mean words per item | 10.600 |
| Mean characters per item | 57.800 |
| Mean characters per response | 9.500 |
| Flesch-Kincaid grade level | 6.801 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, neubauer_2023_stecco.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 | ||
date | IRW standard Calendar time in seconds — either seconds elapsed since data collection start (relative) or Unix time (absolute). | 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 |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | made in the build script |
cov_gender | 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("neubauer_2023_stecco_emotion_regulation")
# Python
pip install irw
import irw
df = irw.fetch("neubauer_2023_stecco_emotion_regulation")
@article{Neubauer_2023, title={Approaching academic adjustment on multiple time scales}, volume={27}, ISSN={1862-5215}, url={http://dx.doi.org/10.1007/s11618-023-01182-8}, DOI={10.1007/s11618-023-01182-8}, number={1}, journal={Zeitschrift für Erziehungswissenschaft}, publisher={Springer Science and Business Media LLC}, author={Neubauer, Andreas B. and Schmiedek, Florian}, year={2023}, month=Sept, pages={147–168} }
This table was found via openESM; please also cite:
@article{siepe2026openesm, title={Introducing openESM: A database of openly available experience sampling datasets}, author={Siepe, Bj{\"o}rn S. and Haslbeck, Jonas M. B. and Kloft, Matthias and B{\"u}chner, Anabel and Zhang, Yong and Fried, Eiko I. and Heck, Daniel W.}, journal={Behavior Research Methods}, volume={58}, number={8}, pages={240}, year={2026}, doi={10.3758/s13428-026-03112-y}}
| 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 |