Mixed Methods Designs: principles and procedures

Kombinacija kvalitativnih in kvantitativnih metod: pristopi in postopki

Course credits:

6.00 ECTS / 60 (30 hours of lectures, 0 hours of exercises, 30 hours of seminars, 0 hours other forms of work)

Course holder:

izr. prof. dr. Bojana Lobe

Type:

Elective general

Language:

English

Semester:

Second semester

Study degree

2. level

Course execution:

• Postgraduate Programme of Cultural studies
• Postgraduate Programme of Defence and Security Studies
• Postgraduate Programme of European Studies
• Postgraduate Programme of International Relations
• Postgraduate Programme of Journalism
• Postgraduate Programme of Marketing Communication and Public Relations
• Postgraduate Programme of Media and communication studies
• Postgraduate Programme of Political Science – Comparative Public Policies and Administration
• Postgraduate Programme of Political Science – Political Theory, Global and Strategic Studies
• Postgraduate Programme of Social Informatics
• Postgraduate Programme of Sociology
• Postgraduate Programme of Sociology – Management of Human Resources, Knowledge and Organizations

Short content

Mixed methods research may be defined as research that integrates at least one qualitative and at least one quantitative data collection and/or data analysis method (Johnson, Onwuegbuzie, & Turner, 2007), and Multimethod research as a broader term that includes any use of more than one type of method, including, for example, two qualitative methods or two quantitative methods. Such mixed- and multimethod research designs (MMRDs) are becoming increasingly popular and are being further enriched and refined at a fast pace. The overarching goal of this course is to consolidate and enrich the mixed- and multimethod skills of researchers, so that they may implement richer and more robust designs in their respective current projects and in further applications, in 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 (offline and online). Key topics: • Why go mixed’ (how to justify)? • Definition, terminology • Two main rationales for MMD • Epistemological underpinning and early uses • Sequential designs • Concurrent designs • Nested designs • Convergent findings • Additional coverage • Connected contributions • Iterative designs, including FOMM • Sampling procedures • Data quality criteria • Reporting challenges • Ethical issues