assessment_time_fournier_2025_pmpuq

5,970 responses from 398 respondents to 15 items.

One of 5 tables from the same source; this one measures Assessment Time - Problematic Mobile Use. The others are listed under Related tables.

About this table

Description15-item short version of the Problematic Mobile Phone Use Questionnaire
ReferenceFournier, L., Heeren, A., Baggio, S., Clark, L., Verdejo-Garcia, A., Perales, J., & Billieux, J. (2025, August 20). Data. https://doi.org/10.17605/OSF.IO/6V5QB
LicenceCC BY 4.0
Source datahttps://osf.io/6v5qb/files/osfstorage

Size and shape

Responses5,970
Respondents398
Items15
Response categories4
Responses per respondent15
Responses per item398
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based
construct typeBehavioral, Cognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameAssessment Time - Problematic Mobile Use

Item text

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

Instrument15-item short version of the Problematic Mobile Phone Use Questionnaire
Mean words per item11.933
Mean characters per item59.667
Mean characters per response10.750
Flesch-Kincaid grade level5.281

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. 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).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_ageCovariate not traced
cov_countryCovariate not traced
cov_genderCovariate not traced

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("assessment_time_fournier_2025_pmpuq")
# Python
pip install irw

import irw
df = irw.fetch("assessment_time_fournier_2025_pmpuq")

How to cite

@article{https://doi.org/10.17605/osf.io/6v5qb,
  doi = {10.17605/OSF.IO/6V5QB},
  url = {https://osf.io/6v5qb/},
  author = {Verdejo-Garcia, Antonio and Perales, José C. and Fournier, Loïs and Billieux, Joel and Heeren, Alexandre and Clark, Luke and Baggio, Stéphanie},
  keywords = {UPPS-P Impulsive Behavior Scale, UPPS-P-20-R, network modeling, psychometrics, structural equation modeling},
  title = {Data},
  publisher = {OSF},
  year = {2023},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_2 v33.0
Redivis dataset DOI10.57761/6m04-m698
Manifest pin for this IRW versionv33.0
Metadata sourceirw_meta v43.0