I know I don’t read enough or even pick up a book in the baby room sometimes
Figure 3.8: Overview of interview participants
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- 3.8.3. Focus group workshops
- Figure 3.9: Overview of focus group workshop participants
- 3.8.4. Zines
- Figure 3.10: Overview of Zine participants
- 3.9. NVivo data; exploration of the themes
- Figure 3.11: Overview of NVivo text word search query
Figure 3.8: Overview of interview participants
The table highlights that these were all experienced practitioners, working predominantly in the PVI sector. I initially assigned each transcript a number and then later assigned pseudonyms for totally anonymity and confidentiality. I assured all participants that the information shared at the initial survey stage would be the only information recorded. 3.8.3. Focus group workshopsEleven participants agreed to take part in a focus group workshop. They had all previously completed the survey. The focus group workshops were split into a group of six and five participants respectively. The practitioner focus group workshops in January and February 2016 produced qualitative data. The qualitative data was analysed by entering into NVivo Pro 11, creating category nodes and coding themes, building on the data already entered from the survey and interview data. The focus group data was also analysed by using the “six phases of thematic analysis” (Braun and Clarke, 2006, p. 81) and QCA (Schreier, 2012). The transcripts, flip chart data and definitions of early reading were read, re-read and manually coded to identify emerging themes or individual themes and reviewed alongside the codes, word clouds and word searches of NVivo Pro 11. It became apparent that I no longer needed to rely on NVivo to consolidate any manual findings, as the themes across all sources of data at this point were consistent and linked to ‘access to books’, ‘defining and understanding early reading’, ‘perceptions of confidence for early reading’ and ‘support for early reading’. Although NVivo had been worthwhile and supported me with the initial findings, it now felt far too time consuming to continue using both manual and CAQDAS. Therefore, the Zine entries were analysed using the existing coding frames and themes. I fully expected to add more themes to the framework, but this was not necessary, as no supplementary themes arose. The following table presents a brief overview of the focus group workshop participants: Figure 3.9: Overview of focus group workshop participants
3.8.4. ZinesThe Zine entries from between October 2015 to March 2016 produced a wealth of qualitative, eclectic data, which was extremely time consuming and challenging to analyse. The Zines were analysed manually by using QCA (Schreier 2012) to identify any consistent themes, links and any individual themes. Data from the survey, interviews and focus groups had already enabled me to identify four emerging themes; these themes were used initially to analyse the Zine entries. Additionally, I then re-read the entries to identify any possible new themes. Photographs of a sample of the Zine entries are contained in Appendix J. The completed Zines have been handed back to the participants, at their request. Figure 3.10 demonstrates that the Zine participants worked predominantly in PDN settings, with a range of previous experience of working with under-threes: Figure 3.10: Overview of Zine participants
3.9. NVivo data; exploration of the themesOnce each data source had been explored and analysed independently, I reviewed the data sources of the survey, five semi-structured interviews and two focus group workshops using the coding and analysing functions of NVivo. The text search query function is designed to support searching for topics or themes from the sources of data. Welsh (2002) suggests that the “search facility in NVivo is seen by the product designers as one of its main assets when facilitating the interrogation of the data” (p. 3), ensuring that the researcher is working more methodically, more thoroughly and more attentively (Bazeley, 2007). In depth exploration of the data using the text search query function generated the following results: Figure 3.11: Overview of NVivo text word search query
This proved to be an effective overview as an audit of how often these words were mentioned in the various research activities as a form of structural coding, as advocated by Saldana (2009). This was beneficial because it offered me the opportunity to view the extracts and cross check with the identified themes and to ensure that I had not overlooked any key themes. Directory: 17919 17919 -> Study Guide ~ Physical Features of the United States Atlantic Coastal Plains Download 7.59 Mb. Share with your friends:
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