In this Master-class we will examine the key features of mixed methods research designs.
We will explore the different types of mixed method design; critically analyse the benefits and challenges associated with the design and implementation of each design type; and the analysis and write-up of mixed method studies.
Nicola McNeil is the Head of the Department of Management, Sport and Tourism, La Trobe Business School. Nicola is currently working on several research projects in the areas of gender and work, work-life balance and the impact of high performance work practices on employee wellbeing. She has received research grants and consultancies from the Canadian Social Sciences and Humanities Research Council, the Australian Federal Government, VicHealth, industry partners and not-for-profit organisations.
Nicola is a leading educator and teaches classes in employment relations, human resource management and research methods to undergraduate and postgraduate students. Nicola is also an instructor for the Australian Consortium of Social and Political Research Inc (ACSPRI) and offers courses on the use of computer-assisted qualitative data analysis and mixed methods research.
This Master-class is designed for participants with an introductory-level understanding of qualitative and quantative research techniques. Participants will have an opportunity to workshop their own mixed method designs during the class.
Day 1:
Topics covered include:
- Defining mixed methods research;
- philosophical underpinnings of mixed method research;
- selecting the appropriate mixed method design for your project;
- convergent parallel designs;
- explanatory and exploratory sequential designs;
- examples of mixed method studies.
Day2:
Topics covered include:
- embedded mixed method designs;
- transformative designs;
- multi-phase designs;
- further examples of mixed method studies;
- analysing and interpreting data in mixed method research;
- validation and evaluation techniques;
- guidelines for writing-up mixed method designs.
Nicola was a great presenter. I appreciated seeing a wide range of examples from different subjects areas & using different approaches. (2018)
Good foundation information following by interactive tasks which helped with consolidation of knowledge gained (2017)
Exactly what I was looking for - an updated of MM design and application to merging quant & qual data (2017)
Has met my expectations in terms of developing knowledge of MMR, terminolgy, tools and designs (2017)