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Well-grounded Theory–Pattern-finding in qualitative data: A 19 steps procedure of making data analyzable
University of Gävle, Faculty of Education and Business Studies, Department of Business and Economic Studies, Business administration. (Marknadsföring)ORCID iD: 0000-0003-3323-907X
2018 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Swedish secondary school graduates has become less and less apt in mathematics, since the past 20 years (Mullis, et al., 2009). University students mostly chose to make qualitative studies, irrespective of if this is the best choice to study the research question on not. Many of them don’t even know how to make good qualitative studies. 

 

After analysis of the requirements of what is needed, using Prahalad’s (2006) ‘sandbox of innovation’, I have developed an abductive method for analyzing qualitative data to help students to get good use of their empirical material, a well-grounded theory, in contrast to the inherent deductive or inductive nature of grounded theory. It is suitable for studies based on interviews, focus groups and observations.

 

As the dataset grows, the method becomes cumbersome, which I don’t consider is a big problem, as big qualitative datasets would preferably be analyzed by non-parametric statistics, rather than the iterative interpreting qualitative methodology I suggest here. 

Place, publisher, year, edition, pages
2018.
Keywords [en]
Presentation and analysis of qualitative information, interviews, focus groups, observations, abduction..
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hig:diva-26574OAI: oai:DiVA.org:hig-26574DiVA, id: diva2:1205967
Conference
25th Annual Conference of the International Association for Applied Management, July 17–19, 2018, Las Vegas, Nevada
Note

Forthcoming

Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2018-06-05Bibliographically approved

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Philipson, Sarah

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