neubauer_2021_paco_worry

38,165 responses from 553 respondents to 5 items.

One of 9 tables from the same source; this one is the worry table. The others are listed under Related tables.

About this table

DescriptionDaily worry, five items from the Ambulatory Worry Scale, 1 (completely disagree) to 7 (completely agree): worried about a lot of things, worries bothered me, worried about things that might happen, couldn't get worries out of my head, wrapped up in worries. 553 parents. PACO daily diaries: German parents of school-aged children, one evening diary a day for up to 21 days during the April-May 2020 COVID-19 lockdown. wave is the study day (1-21); date is the diary start time in Unix seconds (source stamps are German local time, converted). Covariates: cov_gender, cov_age (parent, from the baseline questionnaire).
ReferenceNeubauer, A. B., Schmidt, A., Kramer, A. C., & Schmiedek, F. (2021). A Little Autonomy Support Goes a Long Way: Daily Autonomy-Supportive Parenting, Child Well-Being, Parental Need Fulfillment, and Change in Child, Family, and Parent Adjustment Across the Adaptation to the COVID-19 Pandemic. Child Development, 92(5), 1679-1697.
DOI10.1111/cdev.13515
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/17361779

These data were found via openESM, where additional metadata for this dataset are available.

Size and shape

Responses38,165
Respondents553
Items5
Response categories7
Responses per respondent69.014
Responses per item7,633
Density13.803
LongitudinalTRUE

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentAmbulatory Worry Scale, five items (PACO daily)
Mean words per item8.200
Mean characters per item42.800
Mean characters per response24
Flesch-Kincaid grade level3.725

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, neubauer_2021_paco.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.

ColumnWhat it isSource column
IRW standard columns
dateIRW standard Calendar time in seconds — either seconds elapsed since data collection start (relative) or Unix time (absolute).made in the build script
idIRW 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
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
waveIRW standard Longitudinal wave indicator.made in the build script
Respondent covariates
cov_ageCovariate made in the build script
cov_genderCovariate made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

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_2021_paco_worry")
# Python
pip install irw

import irw
df = irw.fetch("neubauer_2021_paco_worry")

How to cite

@article{Neubauer_2021, title={A Little Autonomy Support Goes a Long Way: Daily Autonomy-Supportive Parenting, Child Well-Being, Parental Need Fulfillment, and Change in Child, Family, and Parent Adjustment Across the Adaptation to the COVID-19 Pandemic}, volume={92}, ISSN={1467-8624}, url={http://dx.doi.org/10.1111/cdev.13515}, DOI={10.1111/cdev.13515}, number={5}, journal={Child Development}, publisher={Oxford University Press (OUP)}, author={Neubauer, Andreas B and Schmidt, Andrea and Kramer, Andrea C and Schmiedek, Florian}, year={2021}, month=Sept, pages={1679–1697} }

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}}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0