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.


Monday 18 – Friday 22 November (5 days ONLINE)

Fee structure

Full-time students

Everyone else

If you require an invoice for enrolment, or an internal journalling within the University of Auckland, please email us at nzssncourses@auckland.ac.nz. For other payment options, please click below as appropriate.


Gordon Emmerson
Dr Gordon Emmerson

Course outline

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 one: 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 two: 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 three: 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 four: 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 five: Validity and trustworthiness issues in mixed method designs

  • Representing qual and quant 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. Wiley.
Robson C & McCartan K (2016). Real World Research, 4th Edition. Wiley.
Thody A (2006). Writing & Presenting Research. Sage.