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Understandability and Transparency of the Financial Statements of ...

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o Are <strong>the</strong> findings consistent with o<strong>the</strong>r knowledge; <strong>and</strong><br />

o Are <strong>the</strong> findings useful for some intended purpose, e.g. informing practice?<br />

In order to achieve substantive significance <strong>the</strong> interview evidence supporting each<br />

<strong>the</strong>me was analysed <strong>and</strong> dominant common <strong>the</strong>mes were identified. The evidence<br />

ga<strong>the</strong>red into <strong>the</strong> NVivo outputs were fur<strong>the</strong>r interpreted by considering which<br />

interview evidence best captured <strong>the</strong> spirit <strong>of</strong> <strong>the</strong> NVivo <strong>the</strong>mes, in order to present <strong>the</strong><br />

data in sufficient depth in <strong>the</strong> <strong>the</strong>sis to allow <strong>the</strong> link from <strong>the</strong> data to <strong>the</strong> underlying<br />

<strong>the</strong>oretical framework. In this research a deductive approach was taken which allowed<br />

<strong>the</strong>mes to be linked to an existing <strong>the</strong>ory, in this case accountability (discussed in<br />

Chapter Five), which provided a frame <strong>of</strong> reference for analysing <strong>the</strong>se findings. These<br />

matters will be addressed in <strong>the</strong> research findings <strong>and</strong> discussions that are framed by <strong>the</strong><br />

<strong>the</strong>oretical framework <strong>and</strong> detailed in: Chapter Six - Pr<strong>of</strong>essional accountability;<br />

Chapter Seven – Fiduciary accountability; Chapter Eight – Performance Accountability.<br />

Before looking at <strong>the</strong>se chapters <strong>the</strong> trustworthiness <strong>of</strong> <strong>the</strong> data needs to be evaluated.<br />

4.7 Data Evaluation<br />

Data evaluation is critical in qualitative research, as qualitative findings are likely to<br />

face criticisms that <strong>the</strong> work is unreliable, invalid <strong>and</strong> generally untrustworthy when<br />

compared with studies based on quantitative data, whose findings can be statistically<br />

supported (Ahrens & Chapman, 2006). Therefore, researchers analysing qualitative data<br />

have to take serious note <strong>of</strong> <strong>the</strong> potential for bias at each research stage, in particular <strong>the</strong><br />

data collection <strong>and</strong> data analysis.<br />

It is however important to strike a balance between, at one side, allowing <strong>the</strong> richness <strong>of</strong><br />

<strong>the</strong> interviews by being open-minded, <strong>and</strong> having a flexible approach, which must be<br />

balanced with ensuring that <strong>the</strong> execution <strong>of</strong> this research is trustworthy (Lillis, 2006).<br />

Trustworthiness is concerned not only with <strong>the</strong> findings <strong>and</strong> whe<strong>the</strong>r <strong>the</strong>y are „really‟<br />

about what <strong>the</strong>y appear to be about (Patton, 2002) but also <strong>the</strong> data collection <strong>and</strong> data<br />

analysis.<br />

Factors that consider <strong>the</strong> trustworthiness <strong>of</strong> qualitative research <strong>and</strong> <strong>the</strong> methods used to<br />

evaluate <strong>the</strong> research are varied depending on <strong>the</strong> author (Benson-Rea, 2006; Ghauri &<br />

Gronhaug, 2005; Lillis, 2006; Lincoln & Guba, 1985; Maxwell, 1992; Patton, 2002;<br />

Robson, 1993; Ryan et al., 1992). Notions <strong>of</strong> validity <strong>and</strong> reliability from positivistic<br />

studies <strong>of</strong> objective reality are unsuitable for qualitative studies which have multiple<br />

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