Research Data Leeds Repository

Adapting Offices Cross-Sector Office Worker Surveys

Davis, Matthew C. and Hughes, Helen P.N. and Rees, Simon J. and Wu, Chiahuei and Gritt, Emma and Collis, Hannah and Fang, Linhao (2023) Adapting Offices Cross-Sector Office Worker Surveys. University of Leeds. [Dataset] https://doi.org/10.5518/1305

Dataset description

Snapshot surveys with a cross-industry group of UK office workers to understand how their experience of hybrid working had changed over time. Data were collected via Prolific Academic using online surveys at T1 (August 2021), T2 (December 2021) and T3 (August 2022). Participants were matched across each time point T1 n=1025, T2 n=759, T3 n=451. Data includes a range of demographics, actual and preferred work patterns, perceptions of physical workspace, hybrid work experiences and psychological outcomes (e.g., wellbeing, work-life balance).

Keywords:	Hybrid Working; Offices; Psychology
Subjects:	C000 - Biological sciences > C800 - Psychology > C810 - Applied psychology > C814 - Organisational psychology
Divisions:	Faculty of Business > Socio-Technical Centre (STC)
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	08 Mar 2023 15:27
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/1077
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Davis, Matthew C. https://orcid.org/0000-0003-1577-7544 University of Leeds https://ror.org/024mrxd33 ror Hughes, Helen P.N. https://orcid.org/0000-0001-8454-8206 University of Leeds https://ror.org/024mrxd33 ror Rees, Simon J. https://orcid.org/0000-0003-4869-1632 University of Leeds https://ror.org/024mrxd33 ror Wu, Chiahuei https://orcid.org/0000-0002-8011-6323 University of Leeds https://ror.org/024mrxd33 ror Gritt, Emma https://orcid.org/0000-0002-2369-4928 University of Leeds https://ror.org/024mrxd33 ror Collis, Hannah University of Exeter https://ror.org/03yghzc09 ror Fang, Linhao University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: ESRC Grant numbers: ES/W001764/1 Publication date: 2023 Resource language: English Research project title: Adapting offices to support COVID-19 secure workplaces and emerging work patterns Publisher: University of Leeds Contact Email Address: m.davis@leeds.ac.uk Last Modified: 08 Mar 2023 23:35

Files

Documentation

readme [3kB] readme [3kB] readme [3kB] Visible to: Anyone File name: readme_Davis_1305.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Data

Adapting Offices Snapshot Variable List Spreadsheet - Publicly Available Dataset [35kB] Adapting Offices Snapshot Variable List Spreadsheet - Publicly Available Dataset [35kB] Adapting Offices Snapshot Variable List Spreadsheet - Publicly Available Dataset [35kB] Visible to: Anyone File name: Adapting_Offices_Snapshot_Variable_List_Spreadsheet_Publicly_Available_Dataset.xlsx Content type: Data Description: List of variables captured at each time point. Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 35kB

Adapting Offices Publicly Available Snapshot Dataset - T1, T2 and T3 [3MB] Adapting Offices Publicly Available Snapshot Dataset - T1, T2 and T3 [3MB] Adapting Offices Publicly Available Snapshot Dataset - T1, T2 and T3 [3MB] Visible to: Anyone File name: Publically_Available_Snapshot_Dataset_T1_T2_and_T3.sav Content type: Data Description: Data set of matched individual level data across 3 timepoints of cross-industry office worker survey License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3MB