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Ravalier PhD Theis.pdf - Anglia Ruskin Research Online

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interpretivist approaches as already discussed. Tashakkori and Creswell (2007, pp. 4) define mixed methods<br />

research as:<br />

“<strong>Research</strong> in which the investigator collects and analyzes data, integrates the findings, and draws inferences<br />

using both qualitative and quantitative approaches or methods in a single study or a program of inquiry”.<br />

Therefore a mixed methods study is one in which both a qualitative and quantitative research approach is<br />

present (Doyle et al., 2009), and the findings of both are amalgamated in order to draw conclusions. Mixed<br />

methods researchers argue that the integrative use of qualitative and quantitative approaches help to minimise<br />

the weaknesses inherent in both approaches whilst also enhancing the advantages (Johnson & Onwuegbuzie,<br />

2004). Doyle et al. (2009) have identified a number of reasons why mixed methods approaches may be better<br />

than using solely positivist or solely interpretivist research:<br />

1. Triangulation: increases validity of results by looking for similarities in qualitative and quantitative data<br />

outcomes.<br />

2. Completeness: similarly to triangulation, combining results allows a rounded and fuller understanding of the<br />

situation being studied.<br />

3. Offsetting Weakness: as previously mentioned, the use of mixed methods can offset the weaknesses of each<br />

approach while also building upon the strengths.<br />

4. Answering Different <strong>Research</strong> Questions: monomethod approaches can be limited in the research questions<br />

which are approached, whereas mixed methods can be used to help answer a wider range of questions.<br />

In traditional research there has been a view that either the positivist approach, inherent with a scientific<br />

model and the use quantitative methods, or the interpretivist approach, which has a larger degree of subjectivity

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