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dc.contributor.authorRoper, Stephen
dc.contributor.otherWishart, Maria
dc.contributor.otherBlake, Holly
dc.contributor.otherHassard, Juliet
dc.contributor.otherLeka, Stavroula
dc.contributor.otherThomson, Louise
dc.contributor.otherBourke, Jane
dc.contributor.otherBelt, Vicki
dc.coverage.spatialMidlands, Englanden_UK
dc.coverage.temporalWave 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.accessioned2024-05-28T10:20:14Z
dc.date.available2024-05-28T10:20:14Z
dc.date.issued2024-05-28
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/11424
dc.descriptionThere 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.abstractLine 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.isoenen_UK
dc.publisherThe University of Nottinghamen_UK
dc.rightsCC-BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.sourceNot yet available.en_UK
dc.subject.lcshQuality of work life -- Psychological aspectsen_UK
dc.subject.lcshWork -- Psychological aspectsen_UK
dc.subject.lcshEmployees -- Mental healthen_UK
dc.subject.lcshPsychology, Industrialen_UK
dc.subject.meshPsychology, Industrialen_UK
dc.subject.meshOccupational Stress – prevention & controlen_UK
dc.titleEconomic Research Centre 4-wave Survey Data from Employers in England (2020-2023): Line Manager Training in Mental Health and Organisational Outcomesen_UK
dc.title.alternativeMental 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.typedataset
dc.identifier.doihttp://doi.org/10.17639/nott.7419
dc.subject.freeWorkforce, mental health, line managers, training, absenteeism, business, organisations, productivityen_UK
dc.subject.jacsBusiness & Administrative Studies::Human resource management::Health & safety issuesen_UK
dc.subject.jacsSubjects Allied to Medicine::Others in subjects allied to medicine::Occupational healthen_UK
dc.subject.lcH Social sciences::HF Commerceen_UK
dc.subject.lcW Medicine and related subjects (NLM Classification)::WA Public healthen_UK
dc.contributor.corporateNoneen_UK
dc.date.collectionWave 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 2023-05-05en_UK
dc.coverage.coordinatesn/aen_UK
uon.divisionUniversity of Nottingham, UK Campusen_UK
uon.funder.controlledEconomic & Social Research Councilen_UK
uon.datatypeDataset in IBM SPSS Statistics (Version 27). The variables used in the analysis were primarily binary, dichotomous variables measured as yes/no.en_UK
uon.grantES/W010216/1en_UK
uon.grantES/V002740/1en_UK
uon.parentprojectWorkplace mental-health and well-being practices, outcomes and productivity (ESRC Grant number: ES/W010216/1).en_UK
uon.collectionmethodData 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.legalThe 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.rightscontactHolly Blake (principal investigator of the sub-study), Stephen Roper (principal investigator of the parent study).en_UK
uon.institutes-centresUniversity of Nottingham, UK Campusen_UK
uon.identifier.risprojectRIS 6297981 (parent study) and RIS 18525748 (sub-study relating to this dataset)en_UK


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