Background: Despite the existence of adequate technological infrastructure and clearer policies, there are situations where users, mainly physicians, resist mobile health (mHealth) solutions. Part I is an overview of the basics. Like other visual display approaches currently being developed in qualitative social science and the humanities, ... More recently, representing qualitative data visually has received more attention as CAQDAS and other tools have facilitated this possibility. It would be more correct to say that such tools run contrary to one strain of anti-positivist humanism (Gans, 1999;Steinmetz, 2005). Visualizing qualitative data in evaluation research. Stuart Henderson, PhD . We present results from a controlled study that compares SparkClouds with two traditional trend visualizations-multiple line graphs and stacked bar charts-as well as Parallel Tag Clouds. Many studies have been undertaken on mobile money services focusing on consumer adoption, technology design improvements and business-driven models. Nevertheless, ethnographers working within the field of sociology face a set of common pragmatic challenges related to managing, analyzing, and presenting the rich context-dependent data generated during fieldwork. You can request the full-text of this article directly from the authors on ResearchGate. Our data show that decisional resolve wavers not just when considering therapy, as the existing concept of decisional conflict suggests, but even after initiating it, which may signal future decisions to forgo therapy. They conclude by discussing some potential implications of the ethnoarray and related approaches for the scope, practice, and forms of ethnography. Relevance to Practice (2005). consistently through data collection, analysis and presentation resulted in traversals which Data visualizations focus more on the numbers than the design. The following chapters cover the use of micro-macro design to illustrate detail, the layering of information and colour. ), Data visualization, part 1. The authors first describe a conceptual framework for understanding the different types of qualitative data visualizations before providing examples of visualizations in various evaluation contexts. the Gatherings I present the activities of both human and nonhuman participants, establish We introduce parallel tag clouds: a new way to visualize differences amongst facets of very large metadata-rich text corpora. second dimension describes how compound learning can be enacted across three ‘scales:’ Yet, no existing qualitative tools have the analytic power, visual effectiveness, and universality of familiar quantitative instruments like bar charts, scatter-plots, and pie charts. These techniques can be used in most stages of evaluations, including early planning and design, data analysis, and reporting. Typically gathered in the field, that is, the setting being studied, qualitative data used for program evaluation are obtained from three sources (Patton, 2002): The causes of death (CoD) data stems from fourteen INDEPTH HDSS sites in sub-Saharan Africa and eight sites in Asia. A series of dots represent the position of observations from the data set. Unlike other texts, it covers the extensive range of available methods so that readers become aware of the array of techniques beyond their individual disciplines. This cluster heat map is a synthesis of several different graphic displays developed by statisticians over more than a century. However, for local communities that are directly affected by extractive industry projects, economic and social benefits often fail to materialise. Data collection methods included focus groups with practitioners from five, regionally dispersed health care settings in Michigan, and surveys with forensic scientists throughout the state's regional laboratory system. and you may need to create a new Wiley Online Library account. Retrieved from https:// Evaluation . Mapping the Decision-Making Process for Adjuvant Endocrine Therapy for Breast Cancer. IEEE Transactions on Visualizations and Computer Graphics, 15(6):1169–1176. Recent methodological debates in sociology have focused on how data and analyses might be made more open and accessible, how the process of theorizing and knowledge production might be made more explicit, and how developing means of visualization can help address these issues. Foundations of Evaluation & Applied Research Methods Stewart I. Donaldson and Christina A. Christie. Methods: Exploring teachers’ professional development with Twitter: A sociomaterial analysis, Clinicians' Role in the Adoption of an Oncology Decision Support App in Europe and Its Implications for Organizational Practices: Qualitative Case Study, A Visualization Tool for Analyzing an Assembly Training in VR, Bringing Research Into Practice: An Evaluation of Michigan's Sexual Assault Kit, Investigating Students' Habits of Mind in a Course on Digital Signal Processing, The evolving role of CSR in international development: Evidence from Canadian extractive companies’ involvement in community health initiatives in low-income countries, Evaluation of a Victim-Centered, Trauma-Informed Victim Notification Protocol for Untested Sexual Assault Kits (SAKs), Mapping the Decision-Making Process for Adjuvant Endocrine Therapy for Breast Cancer: The Role of Decisional Resolve, The Big Picture: An Overview of Research Designs, Reinventing the Social Scientist and Humanist in the Era of Big Data - A Perspective from South African Scholars, Framing Experience: Concept Maps, Mind Maps, and Data Collection in Qualitative Research, A research informed vision of good practice in multicultural teacher education: Design principles, Situational Analyses: Grounded Theory Mapping After the Postmodern Turn, User-directed sentiment analysis: Visualizing the affective content of documents, Parallel Tag Clouds to explore and analyze faceted text corpora, SparkClouds: Visualizing Trends in Tag Clouds, Analyzing Qualitative Data: Systematic Approaches, Qualitative research and evaluation methods. 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