In the academic year 2021-2022 this course will take place online.
Edition 1 (online)
November 1 (Monday) 2021
November 15 (Monday) 2021
November 22 (Monday) 2021
November 29 (Monday) 2021
Edition 2 (online)
May 24 (Tuesday) 2022
May 31 (Tuesday) 2022
June 14 (Tuesday) 2022
June 21 (Tuesday) 2022
PhD candidates in the social sciences and humanities often combine different research methods. A popular combination, for instance, is to conduct a survey and qualitative interviews. The combination of different methods often leads to more powerful insights than single-method studies.
In this course, we will explore different ways to design, conduct and analyse mixed-method studies. We will also consider how to tackle the challenges in preparing results from such studies for academic publications.
The course is not tied to a particular discipline or theory; it is relevant for PhD candidates from all disciplines.
The course discusses conceptual aspects of mixed-methods studies (different designs, approaches for analysis, etc.) and practical issues regarding data collection, analyses and quality assessment. We work with concrete examples from PhD candidates, literature and the lecturer's own research. Course assignments are set up to directly inform your own PhD-research.
The course does not require any in-depth knowledge about quantitative or qualitative paradigms, and will not deal with the details of quantitative or qualitative methods. The focus will be on explaining and exploring mixed-methods from design to publication.
Active participation and the willingness to share and discuss your own studies are expected.
After completion of the course participants will:
- know the general methodological dimensions of mixed methods research and be able to position their own and other research
- concepts, approaches, benefits, disadvantages
- have operational insights about sampling and data collection in mixed methods research: single or multiple samples, sequencing, data preferences
- e aware of the challenges of mixed data-analysis, e.g. the complementary or contradictory use of data
- be able to assess the academic quality of mixed method research
- Session 1: Designing mixed-method studies
This lecture starts with a short introduction into quantitative and qualitative research and their respective strengths and weaknesses. The main part will be spend on discussing the various versions in which quantitative and qualitative approaches can be combined, the rationales for choosing specific designs, and the practical implications such choices have for important aspects of a research project, such as sampling procedures and the likely duration of a study.
- Session 2: Managing data collection
The second lecture will provide advice on how to plan for and execute the collection of data, when a combination of quantitative and qualitative approaches is intended.
- Session 3: Analysis, integration and writing up
Often the most difficult step in mixed-method studies is the effective analysis and integration of data following quantitative and qualitative logics. In this lecture, we will discuss the possibilities as well as the challenges when integrating and theorizing from mixed-method data. We will further look into the challenges of writing-up mixed method studies for publication in academic journals.
- Session 4: Quality assessment
The last session will be used to wrap up design, data collection, analysis and integration, and assess the combination of quality criteria that are relevant for mixed method research
- Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Sage Publications, Incorporated.
- Creswell, J. W., & Clark, V. L. P. (2007). Designing and conducting mixed methods research. Sage Publications, Incorporated.
- González Castro, F., Kellison, J.G., Boyd, S.J., & Kopak, A. (2010). A methodology for conducting integrative mixed methods research and data analyses. Journal of Mixed Method Research, 4(4), 342–360.
- Baranik, L.E., Hurst, C.S., & Eby, L.T. (2018). The stigma of being a refugee: A mixed-method study of refugees' experiences of vocational stress. Journal of Vocational Behavior, 105, 116-130.
- Singh, S. & Aggarwal, Y. (2018). Happiness at Work Scale: Construction and Psychometric Validation of a Measure Using Mixed Method Approach. Journal of Happiness Studies, 19(5), 1439–1463.
- Van Thielen, T., Decramer, A., Vanderstraeten, A., & Audenaert, M. (2018). When does performance management foster team effectiveness? A mixed-method field study on the influence of environmental extremity. Journal of Organizational Behavior, 39(6), 766-782.
Liesbet van Zoonen is professor of popular culture and dean of the Erasmus Graduate School of Social Sciences and Humanities (EGSH) at Erasmus University Rotterdam. Liesbet is also academic director of the Centre for Big Open and Linked Data (BOLD) Cities. She has written about (new) media, citizenship and identity. Her research currently focuses on data and cities.