Economic Research Centre 4-wave Survey Data from Employers in England (2020-2023): Line Manager Training in Mental Health and Organisational Outcomes
dc.contributor.author | Roper, Stephen | |
dc.contributor.other | Wishart, Maria | |
dc.contributor.other | Blake, Holly | |
dc.contributor.other | Hassard, Juliet | |
dc.contributor.other | Leka, Stavroula | |
dc.contributor.other | Thomson, Louise | |
dc.contributor.other | Bourke, Jane | |
dc.contributor.other | Belt, Vicki | |
dc.coverage.spatial | Midlands, England | en_UK |
dc.coverage.temporal | Wave 1 collected immediately prior to, and at, the outbreak of COVID-19 pandemic in the UK (pandemic declared by WHO on 2020-03-11). Waves 2, 3, 4 collected during the pandemic (which ended on 2023-05-23). | en_UK |
dc.date.accessioned | 2024-05-28T10:20:14Z | |
dc.date.available | 2024-05-28T10:20:14Z | |
dc.date.issued | 2024-05-28 | |
dc.identifier.uri | https://rdmc.nottingham.ac.uk/handle/internal/11424 | |
dc.description | There are multiple papers associated with this sub-study: “Mental health at work: a longitudinal exploration of line manager training provisions and impacts on productivity, individual and organizational outcomes”. Each paper is associated with a separate dataset, which includes only the variables used within that specific paper. This metadata record refers only to the dataset associated with the third paper entitled: “The Relationship between Line Manager Training in Mental Health and Organisational Outcomes”. | en_UK |
dc.description.abstract | Line manager (LM) training in mental health is gaining recognition as an effective method for improving the mental health and wellbeing of workers. However, research predominantly focuses on the impacts of training at the employee-level, often neglecting the broader organisational-level outcomes. Most studies derive insights from LMs using self-reported data, with very few studies examining impacts on organisational-level outcomes. We aimed to explore the relationship between LM training in mental health and organisational-level outcomes using company-level data from a diverse range of organisations. This dataset was for secondary analysis of anonymised panel survey data from firms in England, with data derived from computer-assisted telephone surveys over four waves (2020, 1899 firms; 2021, 1551; 2022, 1904; and 2023, 1902). The analysis merged the four datasets to control for temporal variations. Probit regression was conducted including controls for age of organisation, sector, size, and wave to isolate specific relationships of interest. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | The University of Nottingham | en_UK |
dc.rights | CC-BY | * |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.source | Not yet available. | en_UK |
dc.subject.lcsh | Quality of work life -- Psychological aspects | en_UK |
dc.subject.lcsh | Work -- Psychological aspects | en_UK |
dc.subject.lcsh | Employees -- Mental health | en_UK |
dc.subject.lcsh | Psychology, Industrial | en_UK |
dc.subject.mesh | Psychology, Industrial | en_UK |
dc.subject.mesh | Occupational Stress – prevention & control | en_UK |
dc.title | Economic Research Centre 4-wave Survey Data from Employers in England (2020-2023): Line Manager Training in Mental Health and Organisational Outcomes | en_UK |
dc.title.alternative | Mental health at work: a longitudinal exploration of line manager training provisions and impacts on productivity, individual and organizational outcomes. Data from TPI paper 3: “The Relationship between Line Manager Training in Mental Health and Organisational Outcomes”. | en_UK |
dc.type | Dataset | |
dc.identifier.doi | http://doi.org/10.17639/nott.7419 | |
dc.subject.free | Workforce, mental health, line managers, training, absenteeism, business, organisations, productivity | en_UK |
dc.subject.jacs | Business & Administrative Studies::Human resource management::Health & safety issues | en_UK |
dc.subject.jacs | Subjects Allied to Medicine::Others in subjects allied to medicine::Occupational health | en_UK |
dc.subject.lc | H Social sciences::HF Commerce | en_UK |
dc.subject.lc | W Medicine and related subjects (NLM Classification)::WA Public health | en_UK |
dc.contributor.corporate | None | en_UK |
dc.date.collection | Wave 1 collection dates: 2020-01-06 to 2020-03-20 Wave 2 collection dates: 2021-01-28 to 2021-04-15 Wave 3 collection dates: 2022-01-27 to 2022-05-20 Wave 4 collection dates: 2023-01-16 to 2023-05-05 | en_UK |
dc.coverage.coordinates | n/a | en_UK |
uon.division | University of Nottingham, UK Campus | en_UK |
uon.funder.controlled | Economic & Social Research Council | en_UK |
uon.datatype | Dataset in IBM SPSS Statistics (Version 27). The variables used in the analysis were primarily binary, dichotomous variables measured as yes/no. | en_UK |
uon.grant | ES/W010216/1 | en_UK |
uon.grant | ES/V002740/1 | en_UK |
uon.parentproject | Workplace mental-health and well-being practices, outcomes and productivity (ESRC Grant number: ES/W010216/1). | en_UK |
uon.collectionmethod | Data were collected using structured computer-assisted telephone (CATI) interviews. Interviews were conducted by call centre operatives from a UK-based independent market research company. Approximately 12%-14% of interviews were subject to live listening quality control (QC), with around 5-10% of interviews undergoing full QC (listening to recordings and checking data once the survey is complete). | en_UK |
uon.legal | The data are owned by the Enterprise Research Centre, University of Warwick. Participants in the surveys provided oral consent which was documented by the telephone operatives, and the data were analysed anonymously. | en_UK |
uon.rightscontact | Holly Blake (principal investigator of the sub-study), Stephen Roper (principal investigator of the parent study). | en_UK |
uon.institutes-centres | University of Nottingham, UK Campus | en_UK |
uon.identifier.risproject | RIS 6297981 (parent study) and RIS 18525748 (sub-study relating to this dataset) | en_UK |
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