Lecture 4 Flashcards
4 Principles for Designing MM
1) Recognise MM designs can be fixed and emergent
2) Identify approach to design
3) Match design to research problem
4) Explicit about why MM
Fixed
Predetermined and planned
Emergent
Design changes during process
3 Design Approaches
1) Typology based
2) Dynamic approach
3) Synergistic approach
Typology based
emphasises classification of useful MM designs and selection based on predefine design
Dynamic Approach
Emphasises selection based on RQ
Synergistic Approach
Combines both and equal value of strands
4 Key Decisions in choosing MM
1) Level of interaction between strands
2) Priority of strands
3) Timing of strands
4) Where and how to mix strands
3 Variations of when to Merge Data
1) merge
2) Connect
3) Embed
6 Major MM Designs
1) Convergent parallel designs
2) Explanatory sequential design
3) Exploratory sequential design
4) Embedded design
5) Transformative design
6) multiphase design
3 Characteristics of Convergent Design
1) Qual & Quant data collected concurrently
2) Data analysed separately
3) Two databases merged during interpretation
2 Purposes of Convergent Design
1) Obtain complex understanding from 2 databases
2) Corroborate results from different methods
3 Reasons to use Convergent Design
1) Need to collect both data in one visit to field
2) Both types of data have equal value
3) Both qual and quant research skills
2 Strengths of Convergent Design
1) Efficient
2) Lends itself to a team
3 Challenges of Convergent Design
1) Effort and expertise
2) Sample and sample size issues
3) Difficult to converge two sets of data