caldwell_2026_seq_dod

4,752 responses from 297 respondents to 16 items.

One of 5 tables from the same source; this one measures Workplace sexual harassment experiences (SEQ-DoD-s). The others are listed under Related tables.

About this table

DescriptionSexual Experiences Questionnaire DoD short form, 16 items (0 never - 4 very often); harassment subsample N = 297 UK film/TV workers; cov_* as for caldwell_2026_mbi_gs.
ReferenceCaldwell, M. S. (2026). Occupational Burnout in the UK Film and Television Industry: Dataset and Analytic Syntax. Zenodo. https://doi.org/10.5281/zenodo.22679502
LicenceCC BY 4.0
Source datahttps://zenodo.org/records/22679502

Size and shape

Responses4,752
Respondents297
Items16
Response categories5
Responses per respondent16
Responses per item297
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleWorkplace
construct typeBehavioral
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameWorkplace sexual harassment experiences (SEQ-DoD-s)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, caldwell_2026_film_tv_burnout.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).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate Age
cov_disabilityCovariate Disability
cov_employmentCovariate Employment
cov_genderCovariate Gender
cov_hours_workedCovariate Hours_Worked
cov_leaving_industryCovariate Leaving_the_Industry

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("caldwell_2026_seq_dod")
# Python
pip install irw

import irw
df = irw.fetch("caldwell_2026_seq_dod")

How to cite

@misc{https://doi.org/10.5281/zenodo.22679502,
  doi = {10.5281/ZENODO.22679502},
  url = {https://zenodo.org/doi/10.5281/zenodo.22679502},
  author = {Caldwell, Mark Stephen},
  keywords = {occupational burnout, occupational health psychology, mental health, film industry, television industry, screen industries, creative industries, precarious employment, cross-sectional survey, quantitative research, psychometrics, anonymised dataset, psychology},
  language = {en},
  title = {Occupational Burnout in the UK Film and Television Industry: Dataset and Analytic Syntax},
  publisher = {Zenodo},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_7 v1.1
Redivis dataset DOI10.57761/7pd3-sh31
Manifest pin for this IRW versionv1.0
Metadata sourceirw_meta v44.0