In this article, the authors discuss the issue of rigor in relation to qualitative social research. It takes a critical focus on the inadequacy of applying a quantitative concept of rigor to evaluate qualitative research. Informed through the researchers' own experience, suggestions are made for a concept of rigor that meets the needs of qualitative research more adequately. Incorporating a notion of ethics, the authors develop a cluster of terms around which they argue that qualitative research can meaningfully speak about rigor: attentiveness, empathy, carefulness, sensitivity, respect, reflection, conscientiousness, engagement, awareness, and openness.
The nal publication is available at Springer via http://dx.doi.org/10.1007/s10816-015-9251-1.
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Journal of Archaeological Method and TheoryMaking the Dead Visible: Problems and solutions for "big" picture approaches to the past, and dealing with large "mortuary" datasetsFull Title: Making the Dead Visible: Problems and solutions for "big" picture approaches to the past, and dealing with large "mortuary" datasets
AbstractThere can be few 'bigger' questions than the nature and development of human experience and selfawareness, and few better ways to study it than through the changing treatment of the dead over time.Funded by the John Templeton Foundation the 'Invisible Dead' project (Durham University) is exploring diachronic changes in mortuary practices across two regions; Britain and the Levant. In doing so, it uses archaeology as a way to approach fundamental questions about the human condition.This paper explores the principal difficulties faced during the construction of a database for this project and their wider relevance for the development of robust and successful methods for the study of large "mortuary" datasets in the future. It discusses the issues and biases identified within the mortuary record and how the project has sought to mitigate some of these. By adopting a flexible and ultimately expandable approach to data entry and analysis, value can be added to legacy datasets and "grey" literature, allowing us to make comparisons between regions which are both geographically and chronologically distinct.
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