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 Social Informatics

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