9:45am - 1pm
Wednesday 25 September 2019

Using Dedoose as a Methodological Tool : CAQDAS Methodological Seminar (FREE)

Researchers are increasingly adopting the use of data analysis applications for mixed methods studies. This workshop will discuss the impact of new developments in technology and the use of Dedoose, a cloud-based data application, to identify, manage and analyse qualitative and mixed methods data. 

Free

University of Surrey
Guildford
Surrey
GU2 7XH

Introduction

Researchers are increasingly adopting the use of data analysis applications for mixed methods studies.  This workshop will discuss the impact of new developments in technology and the use of Dedoose, a cloud-based data application, to identify, manage and analyse qualitative and mixed methods data.  An overview of analysis strategies will be woven throughout the seminar.  Discussion will highlight the influence that research design decisions have upon the methodology and, ultimately, the quality and credibility of a study.

There will be activities and exercises for participants to gain practical hands-on skills using this innovative qualitative and mixed-methods data application which promotes real-time collaboration and teamwork, and the production of trustworthy results and findings.  This hands-on interactive workshop will feature the use of Dedoose as a technological tool to help researchers manage and analyse a growing range of social science data.

The workshop will also explore and discuss strategies for multiple members of a research team to work simultaneously, in real-time, from any Internet connected device.  Workshop participants will be encouraged to discuss team strategies which improve the quality and efficiency of analysis results and presentation of findings.

Participants are encouraged to bring a laptop and digital data to work with during the workshop.  One month’s free access to Dedoose will be available for new users signing up during the workshop (no downloaded software required).  Just turn up with your internet connected laptop.  There will be ample opportunity to try out various features within the cloud.  Having the use of a laptop or tablet during the workshops will enhance participants' overall learning experience.

Learning outcomes

Attendees will learn:

  1. How to identify and manage data for a research study, and
  2. Strategies for analysing data, and
  3. How to visualize connections in data to generate informed and actionable results, and
  4. Strategies for multiple members of a research team to work simultaneously, in real-time, from any Internet connected device.

Course leader

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.  (forthcoming September 2019).  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.

Entry requirements

No prior knowledge of any data applications required.

Level of study

Entry (no or almost no prior knowledge).

Costs

Free 

Extra

Please bring with you:

  • Laptop or Tablet
  • USB memory stick
  • Your own research materials / data with which to work (e.g. literature files (PDFs are fine), transcripts of interviews/focus-groups, social media content, open-ended survey responses, documentary evidence etc.)
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