The data from the survey will be collected via Qualtrics and held securely within the account for analysis via SPSS (Statistical Package for the Social Sciences) for which both have single account holder access. The survey allows participants to remain anonymous unless contact details are submitted in the final question. If contact details are submitted and then used for follow up telephone or Skype interviews then the same process of storage and number allocation is followed from the initial study.
The current blog ‘Doctor in Waiting’ will utilised further as a research journal (Burgess, 1984b) documenting the decision making processes of the content analysis. The use of grounded theory (Strauss, 1987 and Strauss and Corbin, 1990; 1997) using thematic analysis and to fragment and isolate data from qualitative responses from within surveys and interviews will be used. If a higher number of interviews than expected are conducted within the main study, the software package QSR NVivio will be utilised to aid the extrapolation of attitudes and themes from the qualitative data. Following the methodology by Stroh (2000) the text will be chunked, labelled, and coded to organise the data for analysis.
Though the data to be collected from the three locations is separate it will be analysed for prevalent themes and patterns from within the three individual data sets and collectively. The application of different levels of analysis will be conducted to ascertain whether commonalities occur with regards to engagement, disengagement, preference of learning design elements, etc. but also to clarify whether demographical data and technology use have an affect also. Themes will be drawn together to denote whether there is a stronger narrative within the data and reviewed as to the reoccurrence of the themes to denote emerging patterns. This analysis is undertaken throughout the stages of research (Bryman, 2001) to ensure that the research questions are been considered and answered. Questions from the initial study will be refined for the main study.