H is for Human and How (Not) To Evaluate Qualitative Research in HCI
August 20, 2024 Β· Declared Dead Β· π Human-Computer Interaction
"No code URL or promise found in abstract"
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Authors
Andy Crabtree
arXiv ID
2409.01302
Category
cs.HC: Human-Computer Interaction
Citations
16
Venue
Human-Computer Interaction
Last Checked
4 months ago
Abstract
Concern has recently been expressed by HCI researchers as to the inappropriate treatment of qualitative studies through a positivistic mode of evaluation that places emphasis on metrics and measurement. This contrasts with the nature of qualitative research, which privileges interpretation and understanding over quantification. This paper explains the difference between positivism and interpretivism, the limits of quantification in human science, the distinctive contribution of qualitative research, and how quality assurance might be provided for in the absence of numbers via five basic criteria that reviewers may use to evaluate qualitative studies on their own terms.
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