About this table

Description	SF-12 v1 Health Survey, 12 items coded in printed option order (item-specific 1-2 / 1-3 / 1-5 / 1-6); N = 415 UK film/TV workers; cov_* as for caldwell_2026_mbi_gs.
Reference	Caldwell, M. S. (2026). Occupational Burnout in the UK Film and Television Industry: Dataset and Analytic Syntax. Zenodo. https://doi.org/10.5281/zenodo.22679502
Licence	CC BY 4.0
Source data	https://zenodo.org/records/22679502

Notes

Item-specific response sets: Q1 1-5 (Excellent..Poor), Q2-Q3 1-3 (limited a lot..not limited), Q4-Q7 1 yes / 2 no, Q8 1-5 (not at all..extremely), Q9-Q11 1-6 (all of the time..none of the time), Q12 1-5 (all..none of the time); coded from the file's option labels, not reverse-scored.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Responses	4,980
Respondents	415
Items	12
Response categories	6
Responses per respondent	12
Responses per item	415
Density	1
Longitudinal	FALSE

Classification

age range	Adult (18+)
sample	Workplace
construct type	Affective/mental health
measurement tool	Survey/questionnaire
item format	Likert Scale/selected response
primary language(s)	eng
construct name	Health status (SF-12 v1)

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.

Column	What it is	Source column
IRW standard columns
`id`	IRW 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
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	`Age`
`cov_disability`	Covariate	`Disability`
`cov_employment`	Covariate	`Employment`
`cov_gender`	Covariate	`Gender`
`cov_hours_worked`	Covariate	`Hours_Worked`
`cov_leaving_industry`	Covariate	`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 needed Browse on Redivisexplore and query Croissant 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_sf12")

# Python
pip install irw

import irw
df = irw.fetch("caldwell_2026_sf12")

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 version	v584
Redivis dataset	item_response_warehouse_7 v1.1
Redivis dataset DOI	10.57761/7pd3-sh31
Manifest pin for this IRW version	v1.0
Metadata source	irw_meta v44.0

caldwell_2026_sf12