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mixed methods procedures
6
Mixed Methods designs
chapter 10 (last one!)
components of Mixed methods procedures
components of MM
• Basic definition of mixed methods
• Identification and justification of using mixed methods
• Presentation of a visual model of the research strategy
• Data collection, analysis and sampling strategies which correlate with the mixed method strategy chosen
• Procedures for validation
• Any narrative structure for the chosen method
Subtopic 1
defining mixed methods
• Includes collecting qualitative and quantitative data
• The 2 forms of data are integrated
• Both procedures are integrated and incorporated together
• The procedures have a specific worldview
describing mixed methods research
Description
• Explain any terminology used in the study or procedures
• Background of the methodology
• Reasons for choosing MM
Subtopic 1
possible justifications of choosing MM
can be shown as
- comparing 2 data types
- developing a better understanding of a problem
- evaluating a problem in different ways
- getting clarity of one set of data through the use of another
types of mixed methods designs
Designs
Subtopic 1
Convergent Mixed Methods Design
description: researcher collects qualitative and quantitative data and analyzes them separately (single phase approach)
data collection: uses qualitative data such as interviews, observations etc. while quantitative data uses numeric data, records etc, both focused one one key idea of the study or parallel ideas
data analysis and integration: 3 phases:
1. analyze qualitative data through coding
2.analyze the quantitative data to find statistical information
3. integrate through side by side comparison, changing codes into numerical data or using a joint display to show both data sets in a table or graph
interpretation: use the discussion section to compare the 2 results
Validity: use validity procedures which fit with each data set and ensure validity of sample sizes, follow up on conclusions and identifying research bias
Explanatory sequential design
Subtopic 1
description: 2 phase design used by collecting quantitative data and then collecting qualitative data to build on
Data collection: rigorous sampling in phase 1 and purposeful sampling in phase 2
Data analysis and integration: data sets are analyzed separately then integrates by connecting phase 1 to phase 2
Interpretation: phase 1 is reported first followed by phase 2 in the discussion section followed by how the qualitative helps provide more information for the quantitative
Validity: validity measures for both data sets, also ensuring sampling and qualitative follow up is effective (ex. using the same sample that gave quantitative data to give qualitative data)
Exploratory sequential design
Subtopic 1
description: 2 phase design used by collecting qualitative data and then collecting quantitative data to build on such as using a focus group first and then developing a measure to find numerical data
Data collection: 2 points of data collection, phase 1 and phase 2
qualitative data is collected and coded to find themes to create a measure with
Data analysis and integration: data from phase 1 is analyzed first and then used to create a measure to collect data for phase 2
Interpretation: phase 1 is reported first followed by phase 2 in the discussion section followed by a discussion on if the data from phase 1 can be generalized
Validity: validity measures for both data sets, more concerns over validity since it is a new measurement tool
-deciding if the new tool was effective given the information from phase 1
Other complex designs
advanced or complex methods include many more steps than the 3 main designs
complex designs
Subtopic 1
integrating mixed methods within a primary qualitative or quantitative design
- also known as embedded, a mixed methods procedure is incorporated into another primary research design
- example would be embedding qualitative data within a quantitative experimental or intervention design
- i.e. Mixed methods experimental design
intersecting mixed methods within another methodology
Subtopic 1
- incorporating a mixed methods design into a study set within another method
- example: adding a MM core design into a case study, or evaluation approach
- i.e. mixed emthods case study design
Intersecting mixed methods within a theoretical framework
Subtopic 1
- incorporating mixed methods into theoretical frameworks such as social justice, feminism, or critical theory
- Ex: mixed methods participatory-social justice design
procedure for embedding designs
procedure
1. identify the qualitative and quantitative data collection in the study
2. draw a diagram of the steps of the procedure
3. look into the step and identify what steps can be sued to collect what data
4. ask yourself how the data is being connected
5. discuss the procedures and how the data will be integrated in each step
Subtopic 1
mixed methods notation
- QUAL and QUAN
- + means a converging or merging integration
- arrows shows the sequence of the data collection
- ( ) show embedded data collection methods
- double arrows show the flow can go both ways
factors in choosing mixed methods designs
factors
- outcome or intent of outcome
- data integration
- time limits and timing in data collection
- emphasis on each QUAL or QUAN
- what is best suited for the field
- the researcher or team preferences and experience