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Mixed Methods Designs: Principles and Procedures

Member rate £492.50
Non-Member rate £985.00

Save £45 Loyalty discount applied automatically*
Save 5% on each additional course booked

*If you attended our Methods School in the last calendar year, you qualify for £45 off your course fee.

Course Dates and Times

Date: Monday 5 – Friday 9 February 2024
Duration: 3 hours of live teaching per day
Time: 09:00 – 12:00 CET

Bojana Lobe

bojana.lobe@fdv.uni-lj.si

University of Ljubljana

This seminar-style course offers an engaging and interactive online teaching and learning experience, utilizing cutting-edge pedagogical tools. It is tailored for a discerning audience consisting of researchers, professional analysts, and advanced students, and enrollment is limited to a maximum of 16 participants to ensure personalized attention from the instructor.

Purpose of the course

The pedagogical approach of the course is designed so that you make concrete progress on your main research project, via three main channels: (1) receiving access to multiple resources and tricks of the trade; (2) discussing in small groups, with other participants that face similar challenges; and (3) receiving small group and individual feedback and guidance by the instructor.

The overarching goal is to consolidate and enrich the mixed and multimethod skills of researchers, so that you may implement richer and more robust designs in your respective current projects and in further applications. This will include four possible ways: building such a design, justifying it, implementing it, and writing it up in the form of an RD section in a short or longer format. A particular emphasis is laid on mixed modes of data collection.

ECTS Credits

4 credits - Engage fully in class activities and complete a post-class assignment


Instructor Bio

Bojana Lobe is an Assistant Professor at the Faculty of Social Sciences, University of Ljubljana, where she teaches various methods courses, including Social Science Data Collection and Digital Technologies.

Her research interests include online qualitative research methods, integration of qualitative and quantitative methods online, qualitative comparative analysis, and researching children’s experiences online with mixed methods.

She is the author of the book Integration of Online Research Methods and of several chapters and articles on conducting online focus groups and interviews. She is a member of the research programme Social Science Methodology, Statistics and Informatics at the University of Ljubljana.

Since 2006, Bojana has been actively involved in researching the experiences of children and young people with internet and digital technologies through various projects:

Mixed methods research combines the strengths of qualitative and quantitative research by integrating at least one data collection and/or data analysis method from each. This approach offers a comprehensive and nuanced understanding of complex phenomena that may not be captured by one method alone (Johnson, Onwuegbuzie, & Turner, 2007).

Multimethod research is a broader term that encompasses any use of multiple research methods, including two qualitative or two quantitative methods. The use of mixed and multimethod research designs (MMRDs) is increasingly popular, as researchers seek to better capture and analyse the complexity of their research questions. These designs are continuously evolving, and innovative techniques are being developed to further enhance their effectiveness.

Key Topics Covered

Topic 1: Introduction and overview

  • Why go mixed’ (how to justify)?
  • Definition, terminology
  • Two main rationales for MMD

Topic 2: Epistemological underpinning and early uses

  • Early uses of MMR
  • Battle of methods or battle pf paradigms?

Topic 3: Basic MMR designs

  • Sequential designs
  • Concurrent designs
  • Nested designs

Topic 4: Advanced MMR designs, sampling procedures

  • Convergent findings
  • Additional coverage
  • Connected contributions
  • Iterative designs, including FOMM
  • Sampling procedures

Topic 5: Data quality, reporting, ethics

  • Data quality criteria
  • Reporting challenges
  • Ethical issues

How the course will work online

The course consists of two main formats: an asynchronous format (receiving access to diverse resources prior the start of the ‘live’ sessions), and a synchronous format during the 5 days of daily 3 hour live sessions. You are able to manage your time in a flexible way during the first asynchronous phase, in order to navigate through the resources, preparing for the live sessions. 

In the asynchronous part of the course, there are the following elements: 

  • Full-text preparatory readings;
  • A Canvas forum to start interacting with me & with the other participants;
  • Pre-recorded lectures for each of the five topics;
  • A list of assignments to be delivered before each ‘live’ session.

Each daily session will be three hours and organised as follows (naturally with a bit of flexibility, if need be):

  • Q&A session about the topic of the day: seminar-style discussions based on the specific MMD issue in pre-recorded lectures, and the preparatory readings for the day. Any point(s) that still need to be clarified beyond the Canvas forum discussion, if applicable;
  • Working in breakout rooms (sub-groups of 4 participants): discussions based on the pre-session assignment prepared by each participant, with the instructor ‘hopping’ from room to room;
  • Plenary ‘lessons learned’ session: Participants highlight some main points & lessons learned, before the live session commences.

For each daily breakout room session, one participant will be responsible for taking short minutes. There will also be a short list of recommended prior readings that will be sent to you ahead of the course starting. 

You should have a basic knowledge in qualitative and quantitative methods, understanding the basic ontological, epistemological and methodological difference between qualitative and quantitative data collection methods.

No prior knowledge of Mixed Methods Designs, specifically, is required.

If you are unsure if you possess the prerequisite knowledge that is requested to be able to follow this course, please contact the instructor. The instructor will not teach these prerequisite items.