Context matters: Using mixed methods timelines to provide an accessible and integrated visual for complex program evaluation data |
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| Institution: | 1. Department of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, United States;2. Department of Health Policy and Management, Rollins School of Public Health, Emory University, United States;3. Hubert Department of Global Health, Rollins School of Public Health, Emory University, United States;1. Unit for Health Promotion Research, University of Southern Denmark, Niels Bohrs Vej 9-10, DK-6700, Esbjerg, Denmark;2. Department for Research and Development, University College South Denmark, Lembckesvej 3-7, DK-6100, Haderslev, Denmark;1. School of Economics and Management, Xidian University, No. 2 South Taibai Street, Xi’an, Shaanxi Province, PR China;2. Shaanxi Xi ''an Yanta District, Shida Road, Shaanxi Normal University, Xi’an, Shaanxi Province, PR China;1. Duke Global Health Institute, Duke University, Durham, NC, USA;2. Gilling School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA;3. Kilimanjaro Clinical Research Institute, Moshi, Tanzania;4. Kilimanjaro Christian Medical Centre, Moshi, Tanzania;5. Kilimanjaro Christian Medical University College, Moshi, Tanzania;6. London School of Hygiene and Tropical Medicine, London, UK;7. Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA;1. Texas A&M University, College of Education and Human Development, Department of Health and Kinesiology, MS 4243, College Station, TX 77843-4243, USA;2. Texas A&M University, Health Science Center, School of Public Health, MS 1266, College Station, TX 77843-1266, USA |
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| Abstract: | The need for conducting evaluations which reflect of the influence of context on complex programs is increasingly recognized in the field of evaluation. Better data visualization techniques for connecting context with program evaluation data are needed. We share our experience developing a mixed methods timeline to visualize complexity and context with evaluation data. Mixed methods timelines provide a meaningful way to show change over time in both a visually stimulating and accessible format for evaluation audiences. This paper provides an innovative example of using mixed methods timelines to integrate evaluation data with key program activities and milestones, while also showing internal and external contextual influences in one cohesive visual. We present methods and best practices for collecting contextual data and for incorporating a variety of data sources into such a visual. We discuss several strategies to collect and organize context related data including: qualitative interviews, program materials, narrative reports, and member checking with stakeholders and staff. Gathering multiple perspectives is essential to better capture the multi-layered elements of program activities and context. |
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| Keywords: | Data visualization Timeline Mixed methods Context Complex evaluation Evaluation reporting |
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