Data

Associated data for "The experience and management of sleep inertia in Australian volunteer firefighters"

Central Queensland University
Grace Vincent (Aggregated by) Jessica Paterson (Aggregated by) Katya Kovac (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25946/22091369.v1&rft.title=Associated data for The experience and management of sleep inertia in Australian volunteer firefighters&rft.identifier=10.25946/22091369.v1&rft.publisher=Central Queensland University&rft.description=The current project aims to explore firefighters experiences of sleep inertia and how it is managed in the field. Data will be collected through semi-structured interviews with a sample of volunteer firefighters from the South Australian Country Fire Service. Data will be in the form of audio recordings and word documents for transcribed files. Data will be analysed through the use of NVivo12 software, available through CQUniversity.As the gold standard, one on one interviews will be conducted to allow for data collection to occur at a time that is most convenient for the participant. Interviews will be recorded and then de-identified prior to transcription. Transcribed data will then be organised using NVivo software and analysed thematically using a general inductive approach since there are no prior hypotheses or assumptions.&rft.creator=Grace Vincent&rft.creator=Jessica Paterson&rft.creator=Katya Kovac&rft.date=2023&rft_rights= https://rightsstatements.org/page/InC/1.0/?language=en&rft_subject=Industrial and organisational psychology (incl. human factors)&rft_subject=firefighters&rft_subject=sleep inertia countermeasures&rft_subject=emergency services&rft_subject=risk management&rft_subject=on-call&rft.type=dataset&rft.language=English Access the data

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The current project aims to explore firefighters experiences of sleep inertia and how it is managed in the field. Data will be collected through semi-structured interviews with a sample of volunteer firefighters from the South Australian Country Fire Service. Data will be in the form of audio recordings and word documents for transcribed files. Data will be analysed through the use of NVivo12 software, available through CQUniversity.

As the gold standard, one on one interviews will be conducted to allow for data collection to occur at a time that is most convenient for the participant. Interviews will be recorded and then de-identified prior to transcription. Transcribed data will then be organised using NVivo software and analysed thematically using a general inductive approach since there are no prior hypotheses or assumptions.

Data time period: 2020-07-01 to 2020-11-30

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