Chapter 8 - Mixed Methods Research Flashcards
What is mixed methods research?
- A mixed methods research study collects, analyzes, and mixes quantitative and qualitative data. It explicitly interrelates the study’s quantitative and qualitative strands.
- This approach offsets the limitations of using only one method and allows for a more comprehensive understanding.
What are some different mixed methods designs?
There are four major mixed methods designs:
- Convergent Design (Triangulation)
- Sequential Design
- Multiphase/Multilevel Design
- Embedded Design
Define Convergent Design (Triangulation)
Quantitative and qualitative data are collected and analyzed concurrently.
Define Sequential Design
One phase follows the other, either explanatory (quantitative first) or exploratory (qualitative first).
Define Multiphase/Multilevel Design
Involves several phases to explore a complex issue, using various data sources.
Define Embedded Design
A primary data set (usually quantitative) embeds a secondary, supportive data set (qualitative).
Why is integration important in mixed methods research?
- Integration occurs at any or all six stages of a study (question, design, sampling, data collection, data analysis, and interpretation).
- It ensures both methods are used to answer the research question
- Combining findings to achieve convergence or divergence
- Enhancing the depth and clarity of the results.
What are some common design considerations for mixed method studies?
Key considerations include:
- Dominance or Weighting
- Quality
- Researcher Experience and Skills
- Philosophical Disagreements
- Resources and Costs
Define Dominance or Weighting
Determining which method is principal or complementary.
Define Quality
Ensuring both methods are well-implemented without operating as separate projects.
Define Researcher Experience and Skills
Requires expertise in both quantitative and qualitative methods.
Define Philosophical Disagreements
Encourages collaboration to address differences.
Define Resources and Costs
Adequate time and resources are essential for implementing both methods.