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.
Dr Nicola McNeil is a Senior Lecturer in the LaTrobe Business School, LaTrobe University. She holds a BCom (Honours) and LLB from Monash University, and a PhD from Deakin University. Nicola’s research interests explores the impact of human resource management practices on organisational performance and employee outcomes in a wide array of settings, including multi-national enterprises, healthcare and community organisations. She is currently an Associate Editor of the Asia-Pacific Journal of Human Resources and was a member of the ACSPRI Executive Committee from 2009-2014. Nicola has taught qualitative and quantitative research methods at the postgraduate level for over 10 years, and has provided consulting services to State and Federally-funded research projects.
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)