Academic Integrity and Professionalism

The researcher contends that the opportunity of undertaking this study should be best put to use towards extending the scope of social enquiry, for the benefit of the widest possible community (SRA, 2003), with a general duty to promote the advancement and dissemination of knowledge (British Society of Criminology [BSC], 2006). The researcher will not engage in selecting methods which are not fit for purpose, or otherwise designed to produce misleading results, or in misinterpreting findings by commission or omission (SRA, 2003; 2015), will take account of all relevant evidence, and ensure that this is disseminated appropriately (RESPECT Project, 2004).

In order to ensure transparency, the researcher will enable public scrutiny of the study by providing a detailed account of how the data analysis was conducted, as well as evidence of reflective practice, whereby the strategies employed and the weaknesses of the methodology are assessed (SRA, 2015). In doing so, the researcher will use NVivo 11 for the purposes of adding rigour to the data analysis process by eliminating human error (Buchanan and Jones, 2010; Hoover and Koerber, 2011; Paulus, Woods, Arkinson and Macklin, 2015; Schönfelder, 2011; Soliman and Kan, 2004; Weitzmann, 2003; Welsh, 2002), and for providing a means for tracking decisions, and allowing for further reflection on coding strategies (Siccama and Penna, 2008). NVivo will allow those who are not involved in the study to reflect upon and critically review the data analysis process, as well as to see how assumptions have evolved over the life of the project, through the use of screen shots when communicating research findings (Siccama and Penna, 2008). Furthermore, the researcher will keep a coding journal, including theoretical and methodological memos and will add a date and time stamp to all documents and entries created, for the purposes of providing a trail map to the thinking, questions, and concerns that emerged in relation to, and as a reflection on, each data collection point (Hughes, n.d.).