Mathemagenic

[From draft version of methodology chapter for my dissertation, slightly adapted for the web]

The table below presents an overview of verification strategies and their relevance to the quality criteria.

Verification strategy	Authenticity	Trustworthiness	Impact
Exposure	Being long enough in the right places talking to a variety of people to uncover important issues
Triangulation	Alternative interpretations are uncovered and represented	Data source: rich picture, replicating findings across data sources Study: replicating findings in other contexts with other methods Researcher: decreasing subjectivity
Theorising	Teasing out the implicit	Clear theoretical contribution by justifying research questions and positioning the results
Participants as co-researchers	Participants have a chance to make sure that important issues are uncovered and reported		Participants have an opportunity to shape research to have practical relevance Gives power back
Reflexivity		Uncovering and accounting for unexpected in the process of doing research Articulating subjectivity in writing	Revealing dilemma's and uncertainties in research process engages readers Ethics (no bad impact)'
Transparency	Provides evidence of researcher's immersion in the field	Allows alternative examination or replication of the study
Thick description	"Transports" the reader to the field through quotes and contextualised descriptions	Connection between data and conceptual categories is evident in the text Readers have enough contextual information to decide how far results could be generalised	Engaging readers through storytelling
Purposeful confessional writing	Provides a view onto researcher practices next of those studied	Delineating between "objective" data and subjective interpretations	Engaging readers through sharing personal experiences and uncertainties