Researchers are increasingly adopting the use of research and evaluation data apps (REDA) for both qualitative and mixed methods studies. This one hour seminar will give an overview of Dedoose, a cloud-based data analysis application.
Participants are invited to bring a laptop to follow along during the seminar, and may find it helpful to review the Dedoose training tutorials prior to the workshop available at http://www.dedoose.com/. Dedoose is free for one month with nothing to install and setup is instant – sign up at www.dedoose.com.
Dedoose is a cross-platform cloud-based mixed-methods application which facilitates the management, coding and analysis of qualitative and mixed methods data and their integration with demographic and other quantitative data. Collaboration is one of the key drivers behind the development of Dedoose, allowing project owners to provide others with access to their projects, facilitating real-time online team engagement
Please note, there are no charging ports in the venue. Participants are kindly asked to bring their laptops fully charged to the event.
Dr. Michelle Salmona is President of the Institute for Mixed Methods Research (IMMR) and an Adjunct Associate Professor at the University of Canberra. With a background as a project management professional and a senior fellow of the Higher Education Academy, UK, she is a specialist in research design, methods and analysis. Michelle is a co-founder of IMMR, building global collaborations for grant development, and customized training and consultancy services for individuals and groups engaged in mixed-methods and qualitative analysis.
Michelle works as an international consultant in program evaluation; research design; and mixed-methods and qualitative data analysis using data applications. Her research focus is to better understand the research process; and build data-driven decision making capacity in the corporate world, and she is particularly interested in the relationship between digital tools and doctoral success.
Professor Dan Kaczynski is a Senior Research Fellow at the Institute of Mixed Methods Research (IMMR). He is currently appointed as a Professor supervising doctoral candidates at the University of Canberra, Australia and is Professor Emeritus at Central Michigan University. Dan’s research interests in the United States and Australia advance technological innovations in qualitative and mixed methods data analysis in the social sciences.
Dan is actively engaged as a program evaluation consultant and has over 20 years’ consulting experience conducting state, national and international evaluations. He has held leadership roles in program administration and as a research center director with extensive experience as Principal Investigator of over $35 million in grant awards. His work has been shared professionally with over 230 professional presentations nationally and internationally. Dan has written over 40 published research articles and co-authored six books and book chapters. In addition, Dan has supervised over 95 doctoral dissertations and professional specialist thesis.
Salmona, M., Lieber, E. and Kaczynski, D. (2020). Qualitative and Mixed Methods Data Analysis using Dedoose: A Practical Approach for Research across the Social Sciences. Thousand Oaks: Sage.
Salmona, M. & Kaczynski, D. (2016). Don’t Blame the Software: Using Qualitative Data Analysis Software Successfully in Doctoral Research. Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, 17(3), Art 11, http://nbn-resolving.de/urn:nbn:de:0114-fqs1603117.