Interview transcript data: Student midwives' experiences of challenging poor practice
Publication Date
February 10, 2023
Creators
Description
MSc dissertation (IPA study) exploring students midwives' experiences of challenging poor practice whilst on placement. Contributing to the research supporting quality of care in maternity. Practice and education improvement aim.
Coverage (Spatial):
Cumbria
Subjects (LCSH)
Subjects (MeSH)
Subjects
Subjects (JACS)
Subjects (LC)
Divisions
University of Nottingham, UK Campus::Faculty of Medicine and Health Sciences
Data type
interview transcription
Funders
Data collection method
The qualitative data was collected via interviews on MS Teams. The inbuilt recording feature of MS Teams was used as standard for all interviews. The videos files were watched by the lead researcher to transcribe the interviews verbatim - this included pauses, hesitations and notes on participants' non-verbal communication. This generated written data. Participants were referred to by their participant identification number, and any other identified people or places were given a pseudonym. The files were available to the research supervisor to peer review the transcriptions for accuracy and quality assurance.
Legal and ethical issues
Ethical approval was sought from the UoN in addition to the university where the data was collected. There may have been information disclosed that researcher had a professional duty to report. All data was anonymised - no person is names and placement areas are anonymised. Informed consent was obtained as per the ethical approval
Resource languages
English
Publisher
The University of Nottingham
Date Issued
February 10, 2023
Except where otherwise noted, this item's license is described as
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Name
interview with P03_2022-05-11.docx
Description
transcript participant 3
Size
33.97 KB
Format
Microsoft Word XML
Checksum (MD5)
0c444d0d5796a6597ffb0fa7b34b3c0b
Name
Interview with P01_2022-04-06.docx
Description
transcript participant 1
Size
42.54 KB
Format
Microsoft Word XML
Checksum (MD5)
f8e955687ed92cf73eb0233ea5d9f6cc