Mixed Methods in Social Research
A course for researchers who want to know more about using both qualitative and quantitative methods, delving deeply into the theory and practice on both sides.
Wellington (IN PERSON):
Monday 21 – Friday 25 November 2022 (5 DAYS)
Auckland (IN PERSON):
Monday 13 – Friday 17 February 2023 (5 DAYS)
If you are paying via invoice, please email email@example.com in order to start the process. For credit card and bank transfer payments, you can enrol online directly via the links above.
This is a course for those interested in practical approaches to undertaking mixed method research; that is, inquiry that combines qualitative and quantitative methodologies. It will provide grounding in both approaches, a defence of the utility of combined methodologies, and practical strategies to ensure research questions are addressed. While mention will be made of appropriate software for the different methods, please note that this course does not explore them.
Day 1: Introduction to mixed methods research
- Defining parameters: qualitative and quantitative research
- Learning the language of each methodology
- Applications of mixed method research in practice (academic/policy research)
- Conceptualising design – fixed and flexible designs
Day 2: Designing a research or evaluation study – Design Frameworks
- Characteristics of research design: quantitative – experimental,
quasi-experimental, non-experimental; qualitative – ethnography, grounded theory, and case study
- Linking research questions to purpose
- Asking meaningful research questions – ensuring methods address research questions
Day 3: Sampling and data collection strategies and procedures
- Probability and non-probability sampling procedures
- Surveys, semantic differential and goal attainment scaling
- Interviewing, focus groups and observational techniques
- Types of data and choosing approaches
Day 4: Analysing qualitative and quantitative data
- Choosing the right statistical procedure, e.g. Chi-square, t-test, ANOVA, ANCOVA, regression, correlation
- Analysing statistical data
- Qualitative data analysis procedures – manual methods: content, thematic, matrix displays, narrative
- Computer applications for qualitative and quantitative data
- Integrating qualitative and quantitative data
Day 5: Validity and trustworthiness issues in mixed method designs
- Representing qualitative and quantitative data for research and evaluation for academic and policy audiences
- Threats to validity in research and evaluation design
- Validity and trustworthiness in mixed methods research
- Establishing valid claims
- Writing up: integrating and reporting mixed methods research
Greene J (2007). Mixed Methods in Social Inquiry. San Francisco: Wiley.
Robson C & McCartan K (2016). Real World Research, 4th Edition.
New York: Wiley.
Thody A (2006). Writing and presenting research. Thousand Oaks: Sage.