1. Postgraduate Student Semantics and Methodological Confusion.
- Author
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Carmichael, Teresa
- Abstract
The purpose of this study was to explore how postgraduate students express themselves semantically when constructing and writing up their research projects and the ways in which their word choices and expressions lead to methodological contradictions, particularly in relation to qualitative vs quantitative methodological approaches. The dominant logic of science in the business and management literature is well-established in the post-positivist paradigm. This leaning has resulted in the view that worthwhile research must necessarily take a quantitative approach to generate statistically significant generalisable findings. Qualitative research approaches are, by contrast, consciously or subconsciously taken less seriously judging by the language and terminology used by students in writing their theses and dissertations. There is evidence that students inappropriately apply quantitative assumptions and criteria to qualitative studies in their attempts to justify various methodological choices or endeavour to minimise their study limitations. In addition, students easily use inappropriate quantitative terminology in their qualitative studies. Twenty available qualitative master's dissertations were thematically analysed to explore the extent and nature of inappropriate use of quantitative terminology, assumptions and judgements used by postgraduate students in their research studies The analysis revealed that the types of errors fell into the following categories: quantitative or numerical terminology, types of research questions, types of interview questions, binary framing of issues, convergent vs divergent thinking, generalising from small samples, lack of appreciation of the concepts of theory building vs theory testing, and bias. Students can take a "wishful thinking" approach to qualitative research by thinking of and writing about their studies in a quantitative manner to try and make the research appear statistically significant and generalisable. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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