WEEK 6 - MIXED METHOD RESEARCH Flashcards
What is mixed methods research?
A mixed methods research study is a single study that collects, analyses and mixes quantitative and qualitative data.
What are some different mixed methods designs
- convergent also known as triangluation
- sequential
- multiphase/multilevel
- embedded
Why is integration important in mixed methods research?
What are some common design considerations for mixed method studies?
What is a Covergent design
- The quantitative and qualitative data collection and analysis are undertaken at the same time but separately (concurrently)
What is a sequential design?
There are two distinct phases/arms of the study, quantitative and qualitative, conducted in sequence, not at the same time
What is multiphase/multilevel design?
An in-depth exploration of a complex issue that involves a large-scale study with several phases –
- Conducted concurrently or sequentially
- Used in studies with populations of varying sizes.
For example, workforce needs and major issues in the provision of mental health services for infants, children, adolescents, and families.
What is explanatory sequential?
A quantitative phase is conducted first, followed by a qualitative phase
e.g. survey results are explained/understood by findings from a focus group
What is an exploratory sequential?
A qualitative phase is conducted first, followed by a quantitative phase -
e.g. findings from semi-structured interviews lead to the development of a survey.
What is an embedded design?
- A combination of quantitative and qualitative is used, most frequently with the use of a survey
- Useful when one data set is insufficient
A survey predominantly collecting quantitative data also embeds qualitative data collection
e.g. A 20-item survey comprising closed questions (quantitative) and two or three open- ended questions for text responses (qualitative)
What is Quantitising
is the transformation of qualitative data to quantitative
Qualitising
is the transformation of quantitative data to qualitative.
Why is integration important in mixed methods research?
In mixed methods research, integration is important because it combines qualitative and quantitative data, giving a more complete understanding of the research problem. It allows researchers to:
Cross-validate findings, ensuring accuracy.
Explore different perspectives and insights.
Strengthen conclusions by addressing limitations of both methods individually.
What are some common design considerations for mixed method studies?
- Dominance or Weighting
Principal vs complementary method
Equal status of methods - Quality
Ensure that both methods are implemented well
Avoid silos – separate projects - Researcher Experience and Skills
Requires research team to have quant and qual expertise/skills
Complementary skills/strengths in data collection and analysis - Philosophical Disagreements
Collaboration and partnership approach
Mechanisms to discuss disagreements - Resources and Costs
Time and resources to implement qual and quant methods of data collection and analysis
