falih_2026_mds16

4,192 responses from 262 respondents to 16 items.

One of 2 tables from the same source; this one is the mds16 table. The others are listed under Related tables.

About this table

DescriptionMaladaptive Daydreaming Scale-16 (MDS-16); 16 items; 0-10 scale; N=262
ReferenceFalih, M. (2026). maladaptive daydreaming, depression, anxiety and stress data [dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/8YLSMK
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/8YLSMK

Size and shape

Responses4,192
Respondents262
Items16
Response categories11
Responses per respondent16
Responses per item262
Density1
LongitudinalFALSE

Classification

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

Item text

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

Instrument16-item Maladaptive Daydreaming Scale (MDS-16)
Mean words per item27.188
Mean characters per item166.750
Mean characters per response4.636
Flesch-Kincaid grade level9.514

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, falih_2026_mds16.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).NO
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate AGE
cov_agegroupCovariate AGEGROUP
cov_alcoholCovariate ALCOHOL
cov_experienCovariate EXPERIEN
cov_marital_statusCovariate MARITALS
cov_sexCovariate SEX
cov_smokingCovariate SMOKING
cov_v7_aCovariate V7_A

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("falih_2026_mds16")
# Python
pip install irw

import irw
df = irw.fetch("falih_2026_mds16")

How to cite

@misc{https://doi.org/10.7910/dvn/8ylsmk,
  doi = {10.7910/DVN/8YLSMK},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/8YLSMK},
  author = {Falih, Maryam and AL-Fayyadh, Sadeq},
  keywords = {Medicine, Health and Life Sciences},
  title = {maladaptive daydreaming, depression, anxiety and stress data},
  publisher = {Harvard Dataverse},
  year = {2026}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v43.0