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Data collection, coding, and analysis at each case study site were primarily carried out by a single researcher, which allowed the lead researcher to develop familiarisation with that site and a rich understanding of its dataset.
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The thematic framework is developed through familiarisation with a subset of transcripts.
A four page questionnaire was developed following familiarisation with the literature and was pre-piloted with a sample of academic GPs.
A thematic coding framework was developed through a process of familiarisation with all the transcripts which enabled the identification of possible categories; this was also informed by a priori issues identified in the literature (e.g. perceived burden of IPV, reporting of IPV, health consequences), as well as the aim and objectives of the study.
SD and SC both generated the coding framework by considering each piece of text and developing a provisional coding framework after familiarisation with the transcript achieved by multiple readings.
A thematic framework was developed based on the research question and familiarisation with the first few transcripts, and then applied to each transcript using the computerised qualitative software package WinMAX [ 34].
This approach differs from other published versions of framework synthesis in which the a priori framework was developed from a range of sources, including familiarisation with and consultation around the published background literature, both theoretical and empirical, and personal experiences[ 5, 6].
Steps of analysis included familiarisation with raw data, development of a thematic index, theme refinement, charting into the relevant part of the framework and finally developing explanations and looking for applications to wider theory.
Following familiarisation with the evidence, an a priori index of codes was developed, informed by the study theoretical framework and propositions [ 6].
Familiarisation with the data is the first step; thematic analysis was then carried out to develop a coding scheme, the codes were then applied to the whole dataset; and a summary of the data was arranged across cases and under themes.
Familiarisation with 3 RX2 crossings with audio ITS and one train at crossing 1d.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com