Participatory theme elicitation: open card sorting for user led qualitative data analysis

References

• Bernard, R. H., & Ryan, G. W. (2010). Analysing qualitative data: systematic approaches. SAGE Publications. 9780761924906.
   Google Scholar
• Best, P., Badham, J., Corepal, R., O’Neill, R., Tully, M., Kee, F., & Hunter, R. (2017). Network methods to support user involvement in qualitative data analyses: an introduction to participatory theme elicitation. Trials, 18(559). 1–14 https://doi.org/https://doi.org/10.1186/s13063-017-2289-5
   Google Scholar
• Best, P., McConnell, T., Davidson, G., Badham, J., & Neill, R. (2019). Group based video-conferencing for adults with depression: findings from a user-led qualitative data analysis using participatory theme elicitation. BMC Research Involvement and Engagement, 5(1). 1–11 https://doi.org/https://doi.org/10.1186/s40900-019-0173-z
   Google Scholar
• Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 10. DOI: https://doi.org/10.1088/1742-5468/2008/10/P10008
   Google Scholar
• Boyle, D., & Harris, M. (2009). The challenge of co-production. New Economics Foundation.
   Google Scholar
• Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Re-search in Psychology, 3(2), 77–101. https://doi.org/https://doi.org/10.1191/1478088706qp063oa
   Google Scholar
• Bryman, A. (2004). Social research methods (2nd ed.). Oxford University Press.
   Google Scholar
• Campbell, H., & Vanderhoven, D. (2016). Knowledge that matters: Realising the potential of co-production. In Report. 1–70. N8 ESRC Research Partnership.
   Google Scholar
• Castleberry, A., & Nolen, A. (2018). Thematic analysis of qualitative research data: Is it as easy as it sounds? Currents in Pharmacy Teaching & Learning, 10(6), 807–815. https://doi.org/https://doi.org/10.1016/j.cptl.2018.03.019
   PubMed Web of Science ®Google Scholar
• Concannon, T. W., Fuster, M., Saunders, T., Patel, K., Wong, J. B., Leslie, L. K., & Lau, J. (2014). A systematic review of stakeholder engagement in comparative effectiveness and patient-centered outcomes research. Journal of General Internal Medicine, 29(12), 1692–1701. https://doi.org/https://doi.org/10.1007/s11606-014-2878-x
   PubMed Web of Science ®Google Scholar
• Cornwall, A., & Jewkes, R. (1995). What is participatory research? Social Science & Medicine, 41(12), 1667–1676. https://doi.org/10.1016/0277-9536(95)00127-S
   PubMed Web of Science ®Google Scholar
• Csardi, G., & Nepusz., T. (2006). Complex Systems. In The igraph software package for complex network research. 1695. 1–9: 190
   Google Scholar
• Flicker, S., & Nixon, S. (2014). The DEPICT model for participatory qualitative health promotion research analysis piloted in Canada, Zambia and South Africa. Health Promotion International, 30(3), 616–624. https://doi.org/10.1093/heapro/dat093
   PubMed Web of Science ®Google Scholar
• Fortunato, S. (2010). Community detection in graphs. Physics Reports, 486(3–5), 75–174. https://doi.org/https://doi.org/10.1016/j.physrep.2009.11.002
   Web of Science ®Google Scholar
• Gamble, C., Dudley, L., Allam, A., Bell, P., Goodhare, H. Hanley, B., Preston, J., Walker, A., Williamson, P and Young, B. (2014). Patient and public involvement in the early stages of clinical trial development: A systematic cohort investigation. British Medical Journal (BMJ) Open, 4, 7 e005234. DOI: https://doi.org/10.1136/bmjopen-2014-005234
   PubMed Web of Science ®Google Scholar
• Garfield, S., Jheeta, S., Husson, F., Jacklin, A., Bischler, A., Norton, C., & Franklin, B. D. (2016). Lay involvement in the analysis of qualitative data in health services research: A descriptive study. In BMC Research Involvement and Engagement (pp. 2).
   Google Scholar
• Girvan, M., & Newman, M. E. J. (2002). Community structure in social and biological networks. Proceedings of the National Academy of Sciences, 99(12), 7821–7826. https://doi.org/https://doi.org/10.1073/pnas.122653799
   PubMed Web of Science ®Google Scholar
• Griffiths, K., Mackinnon., M., Crisp., A., . J., Christensen, H., D., . A., ., Bennett, K.,and Farrer, L.. (2012). The effectiveness of an online support group for members of the community with depression: a randomised controlled trial. PLoS ONE, 7(12), e53244. https://doi.org/https://doi.org/10.1371/journal.pone.0053244
   PubMed Web of Science ®Google Scholar
• Hawkins, J., Madden, K., Fletcher., A., Midgley, L. Grant, A., Cox, G., Moore, L., Campbell, C., Murphy, S., Bonell, C., and White, J. (2017). Development of a framework for the co-production and prototyping of public health interventions. BMC public health, 17: 689.
   Google Scholar
• Involve. (2018). Guidance on co-producing a research project. http://www.invo.org.uk/wp-content/uploads/2018/03/Copro_Guidance_Mar18.pdf
   Google Scholar
• Ives, J., Damery, S., & Redwod, S. (2013). PPI, paradoxes and Plato: Who’s sailing the ship? Journal of Medical Ethics, 39(3), 181–185. https://doi.org/https://doi.org/10.1136/medethics-2011-100150
   PubMed Web of Science ®Google Scholar
• Jackson, S., . F. (2008). A participatory group process to analyze qualitative data”. progress in community health partnerships. Research, Education, and Action 2008). :, vol. 2 no. 2, pp. 161–170. https://doi.org/https://doi.org/10.1353/cpr.0.0010
   Google Scholar
• Julkunen, I. H. G., & Ruch, G. (2016). Relationship-based research in social work: Understanding practice research. In G. Ruch & I. Julkunen (Eds.), Getting to the heart of relationships in social work research in practice (pp. 217–224). Jessica Kingsley Publishers.
   Google Scholar
• Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. Sage.
   Google Scholar
• Mallow, J., Petitte., A., Narsavage., T., Barnes, E., G., Theeke, E., Mallow, B., . K., & Theeke., L., . A. (2016). The use of video conferencing for persons with chronic conditions: a systematic review. E-health telecommunication systems and networks. Vol. 5. (pp. 39–56). https://doi.org/https://doi.org/10.4236/etsn.2016.52005.
   Google Scholar
• Miller, G. A. (1969). A psychological method to investigate verbal concepts. Journal of Mathematical Psychology, 6(2), 169–191. https://doi.org/10.1016/0022-2496(69)90001-7
   Web of Science ®Google Scholar
• Morse, J., . M. (2015). Critical analysis of strategies for determining rigor in qualitative inquiry. Qualitative Health Research, 25(9), 1212–1222. https://doi.org/https://doi.org/10.1177/1049732315588501
   PubMed Web of Science ®Google Scholar
• Osborne, S. P., Zoe, R., & Strokosch, K. (2016). Co-production and the co-creation of value in public services: A suitable case for treatment? Public Management Review, 18(5), 639–653. https://doi.org/https://doi.org/10.1080/14719037.2015.1111927
   Web of Science ®Google Scholar
• Righi, C., James, J., Beasley, M., Day, D. L., Fox, J. E., Gieber, J., Howe, C., & Ruby, L. (2013). Card sort analysis best practices. Journal of Usability Studies, 8(3), 69–89. uxpajournal.org/wp-content/uploads/sites/8/pdf/JUS_Righi_May_2013.pdf
   Google Scholar
• Rosenberg, S., & Park, K. M. (1975). The method of sorting as a data-gathering procedure in multivariate research. Multivariate Behaviour Research, 10(4), 489–502. https://doi.org/https://doi.org/10.1207/s15327906mbr1004_7
   PubMed Web of Science ®Google Scholar
• Saldana, J. (2016). The coding manual for qualitative researchers (3rd ed.). Sage Publications.
   Google Scholar
• Sayles, J., . N., Ryan, G., . W., Silver, J., . S., Sarkisian, C., . A., & Cunningham, W., . E. (2007). Experiences of Social Stigma and Implications for healthcare among a diverse population of HIV positive adults. Journal of Urban Health, 84(6), 814–828. https://doi.org/http://doi.org/10.1007/s11524-007-9220-4
   PubMed Web of Science ®Google Scholar
• Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. Wiley.
   Google Scholar
• Sten., A., John., B., & Edwards, R. (2006). The health planner’s toolkit. Queen’s Printer for Ontario.
   Google Scholar
• Stevenson, M., & Taylor, B., . J. (2017). Involving individuals with dementia as lay researchers in analysis of findings from a qualitative study. Dementia, 1. 18 https://doi.org/https://doi.org/10.1177/147130121769090
   Google Scholar
• Sweeney, A., Greenwood, K., Williams, S., Wykes, T., & Rose, D. (2013). Hearing the voices of service user researchers in collaborative qualitative data analysis: The case for multiple coding. Health Expectations, 16(4), 89–99. https://doi.org/https://doi.org/10.1111/j.1369-7625.2012.00810.x
   PubMed Web of Science ®Google Scholar
• van Bijleveld, G. G., Dedding, C. W. M., & Bunders‐Aelen, J. F. G. (2015). Children’s participation within child protection. Child & Family Social Work, 20(2), 129–138. https://doi.org/https://doi.org/10.1111/cfs.12082
   Web of Science ®Google Scholar
• Yap, J., McCartan, C., Davidson, G., White, C., Bradley, L., Webb, P., Badham, J., Breslin, G., & Best, P. (2020). An exercise intervention for people with serious mental illness: Findings from a qualitative data analysis using participatory theme elicitation. Health Expectations, 23(6), 1579–1593. https://doi.org/https://doi.org/10.1111/hex.13141
   Google Scholar