Mixed method research: How to combine diverse quantitative and qualitative methods

Methodology courses and philosophy of science


Course information

ECTS: 2.5 
Number of sessions: 4
Hours per session: 3
Course fee:

  • free for PhD candidates of the Graduate School
  • €475- for non-members
  • consult our enrolment policy for more information

Contact:

Telephone: +31 (0)10 4082607 (Graduate School)


Session 1
January 7 (Monday) 2019
13:30-16:30
Location will be announced soon. 

Session 2
January 14 (Monday) 2019
13:30-16:30
Location will be announced soon. 

Session 3
January 21 (Monday) 2019
13:30-16:30
Location will be announced soon. 

Session 4
January 28 (Monday) 2019
13:30-16:30
Location will be announced soon. 


Introduction

Research often follows an either-or logic, using either a quantitative or qualitative approach. Yet, combining the two can lead to even more powerful insights than single-method studies. 
In this course, we will explore different ways to design and conduct mixed-method studies. We will also consider how to tackle the challenges in preparing results from such studies for academic publications. 


Working method and relevance

  • The course is not tied to a particular discipline or theory; it is relevant for PhD students from all disciplines;
  • The course discusses conceptual aspects of mixed-methods studies (different designs, approaches for analysis, etc.) and practical issues, based on concrete examples from students, literature and the lecturer's own 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.

Learning objectives

After completion of the course participants will:

  • Understand the benefits and challenges of mixing methods;
  • Be able to choose the adequate mixed-method design for their purposes;
  • Be able to plan and implement data collection combining quantitative and qualitative approaches;
  • Be able to prepare data analysis and integration across methods;
  • Understand the specific challenges for publishing mixed-method studies.

Session descriptions

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:
Practical guidance
The last session will be an (optional) practical tutorial. It is meant to give the opportunity to ask specific questions on own research projects for students who intend to or are conducting mixed-method research. 

Suggested reading

  • 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.

Example studies

  • 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.

About the instructor

Petra Saskia Bayerl is Associate Professor of Technology and Organizational Behaviour. Her research interests lay in the fields of human-computer interaction, the implementation of information systems, new media and communication. Her current research focuses on privacy, surveillance and emerging technologies als tools for citizen participation in the creation of public safety.