kuehner_2017_mw_rumination

3,928 responses from 43 respondents to 2 items.

About this table

DescriptionLab meets real life: mind-wandering and rumination ratings across 50 experience-sampling probes
ReferenceKuehner, C., Welz, A., Reinhard, I. et al. (2017). Lab meets real life: A laboratory assessment of spontaneous thought and its ecological validity. PLOS ONE. https://doi.org/10.1371/journal.pone.0184488
DOI10.1371/journal.pone.0184488
LicenceCC BY 4.0
Source datahttps://doi.org/10.1371/journal.pone.0184488

Size and shape

Responses3,928
Respondents43
Items2
Response categories7
Responses per respondent91.349
Responses per item1,964
Density45.674
LongitudinalTRUE

Classification

age rangeAdult (18+)
sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)ger

Item text

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

InstrumentAmbulatory assessment single-item measures of mind wandering (MW) and perceived uncontrollability of rumination (RUM)
Mean words per item1
Mean characters per item2
Mean characters per response5.214
Flesch-Kincaid grade level-3.400

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, kuehner_2017_mw_rumination.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
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).PbnID
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 age
cov_sexCovariate 0 = m · 1 = wsex

Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled 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:

# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("kuehner_2017_mw_rumination")
# Python (needs a free Redivis account)
pip install irw

import irw
df = irw.fetch("kuehner_2017_mw_rumination")

How to cite

@article{Kuehner_2017, title={Lab meets real life: A laboratory assessment of spontaneous thought and its ecological validity}, volume={12}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0184488}, DOI={10.1371/journal.pone.0184488}, number={9}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Kuehner, Christine and Welz, Annett and Reinhard, Iris and Alpers, Georg W.}, editor={Brown, Kirk Warren}, year={2017}, month=Sept, pages={e0184488} }

Version and provenance

IRW versionv540
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v37.0