6,732 responses from 174 respondents to 4 items.
One of 3 tables from the same source; this one is the task_demands table. The others are listed under Related tables.
| Description | Task Demand Scale (TDS): 4 items on the last work activity (had to do too much, work very fast, do multiple things at once, work very hard), 1-7 from not at all to very much. Asked at prompts 2-7 only. 174 people. Italian office workers, three workdays (Mon/Wed/Fri), seven prompts/day 9:15-18:15; wave is each person's answered-prompt number in time order (shared across the three menghini_2023 tables), date is Unix time (source stamps are Italian local time, converted). Covariates: cov_gender, cov_age, cov_work_hours, cov_job_sector (from the OSF processed file). |
|---|---|
| Reference | Menghini, L., Pastore, M., & Balducci, C. (2023). Workplace Stress in Real Time: Three Parsimonious Scales for the Experience Sampling Measurement of Stressors and Strain at Work. European Journal of Psychological Assessment, 39(6), 424-432. |
| DOI | 10.1027/1015-5759/a000725 |
| Licence | GPL-3.0 |
| Source data | https://zenodo.org/records/22952987 |
These data were found via openESM, where additional metadata for this dataset are available.
| Responses | 6,732 |
|---|---|
| Respondents | 174 |
| Items | 4 |
| Response categories | 7 |
| Responses per respondent | 38.690 |
| Responses per item | 1,683 |
| Density | 9.672 |
| Longitudinal | TRUE |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Task Demand Scale (TDS; Menghini et al. 2023) |
|---|---|
| Mean words per item | 6.500 |
| Mean characters per item | 28.500 |
| Mean characters per response | 10 |
| Flesch-Kincaid grade level | 2.830 |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, menghini_2023_esm_workstress.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 | ||
date | IRW standard Calendar time in seconds — either seconds elapsed since data collection start (relative) or Unix time (absolute). | made in the build script |
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). | ID |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | age |
cov_gender | Covariate | gender |
cov_job_sector | Covariate | job.sector |
cov_work_hours | Covariate | work.hours |
What item codes and covariate values stand for is in the source’s codebook, ehw38.
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("menghini_2023_task_demands")
# Python
pip install irw
import irw
df = irw.fetch("menghini_2023_task_demands")
@article{Menghini_2023, title={Workplace Stress in Real Time: Three Parsimonious Scales for the Experience Sampling Measurement of Stressors and Strain at Work}, volume={39}, ISSN={2151-2426}, url={http://dx.doi.org/10.1027/1015-5759/a000725}, DOI={10.1027/1015-5759/a000725}, number={6}, journal={European Journal of Psychological Assessment}, publisher={Hogrefe Publishing Group}, author={Menghini, Luca and Pastore, Massimiliano and Balducci, Cristian}, year={2023}, month=Nov, pages={424–432} }
This table was found via openESM; please also cite:
@article{siepe2026openesm, title={Introducing openESM: A database of openly available experience sampling datasets}, author={Siepe, Bj{\"o}rn S. and Haslbeck, Jonas M. B. and Kloft, Matthias and B{\"u}chner, Anabel and Zhang, Yong and Fried, Eiko I. and Heck, Daniel W.}, journal={Behavior Research Methods}, volume={58}, number={8}, pages={240}, year={2026}, doi={10.3758/s13428-026-03112-y}}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |