Textual data from transcripts of interviews as well as notes and observations of facilities and service delivery recorded during fieldwork were analysed through a combination of deductive and inductive techniques in the 'framework' approach of qualitative analysis for applied policy research 18 using ATLAS.ti7 software.
This is ideally suited to identifying the ideas and relationships that underpin preferences for each modality of BP. 29 Here, textual data in transcripts will be grouped into meaningful categories ('themes') in order to represent a range of attitudes and ideas along with otherwise unarticulated social values.
The effects were measured using participants' self-reports, expert judges' ratings of chat transcripts, and textual analyses of participants' conversations.
All textual data (field notes, transcripts, documents) will be imported to NVivo 10.0, a qualitative software package used for overall data management, including coding, searching and indexing.
The Framework Method is appropriate for thematic analysis of textual data, particularly interview transcripts, where it is important to be able to compare and contrast data by themes across many cases, while also situating each perspective in context by retaining the connection to other aspects of each individual's account.
Working through each transcript, we copied textual material relating to each theme, together with line references, interpretive comments, and memos, on to a single proforma (one for each transcript).
After transcription, the textual dataset was initially perused to conceptualise the overarching themes that existed within the transcripts at a high-level.
Textual keywords extracted from speech transcripts are used as a pivot semantic representation upon which characterization and navigation functionalities can be automatically built.
Textual analysis of the interview transcripts commenced with the construction of a thematic framework to identify key issues and construct concepts.
