Final Thesis: A Quality Metric of QDA-Derived Theories Using Object-Oriented Modeling
Abstract: Qualitative data analysis is widely accepted as valid approach for inductively developing theories. The in-depth analysis of individual experience often results in novel findings, potentially explaining less common phenomena. However, to achieve valuable results, the discovery must be compliant to various implications and prescribed processes. Grounded theory is a qualitative methodology constituted by very specific procedures, which in turn are supposed to foster scientific rigor. However, there is no definite framework or evaluation strategy, defining which criteria constitute good theory. By building upon principles of qualitative analysis and object-oriented programming, this research suggest an approach to quality assessment for emergent theories. Results demonstrate that a semi-formal memo annotation enables evaluation of code-systems, while providing traceability and follow-up data processing.
Keywords: QDA, qualitative data analysis, quality metrics
Reference: Eugen Ananin. A Quality Metric of QDA-Derived Theories Using Object-Oriented Modeling. Master Thesis, Friedrich-Alexander-Universität Erlangen-Nürnberg: 2015.