Using naturally occurring data in qualitative health research: A practical guide.
|dc.contributor.author||Lester, Jessica N.||*|
|dc.identifier.citation||Kiyimba, N., Lester, J. N., & O'Reilly, M. (2018). Using naturally occurring data in qualitative health research: A practical guide. Springer.||en_US|
|dc.description.abstract||This highly practical resource brings new dimensions to the utility of qualitative data in health research by focusing on naturally occurring data. It examines how naturally occurring data complement interviews and other sources of researcher-generated health data, and takes readers through the steps of identifying, collecting, analyzing, and disseminating these findings in ethical research with real-world relevance. The authors acknowledge the critical importance of evidence-based practice in today’s healthcare landscape and argue for naturally occurring data as a form of practice-based evidence making valued contributions to the field. And chapters evaluate frequently overlooked avenues for naturally occurring data, including media and social media sources, health policy and forensic health contexts, and digital communications. Included in the coverage: · Exploring the benefits and limitations of using naturally occurring data in health research · Considering qualitative approaches that may benefit from using naturally occurring data · Utilizing computer-mediated communications and social media in health · Using naturally occurring data to research vulnerable groups · Reviewing empirical examples of health research using naturally occurring data Using Naturally Occurring Data in Qualitative Health Research makes concepts, methods, and rationales accessible and applicable for readers in the health and mental health fields, among them health administrators, professionals in research methodology, psychology researchers, and practicing and trainee clinicians.||en_US|
|dc.rights||Attribution-NoDerivatives 4.0 International||*|
|dc.title||Using naturally occurring data in qualitative health research: A practical guide.||en_US|