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Mixed Methods Designs
Definition
A procedure used to collect both qualitative
and quantitative data.
This is done due to the fact that it is believed
that both types of studies will provided a
clearer understanding of what is being
studied.
“It consists of merging ,integrating ,linking ,or
embedding the two “strands””(Ceswell,2012).
Understanding the Difference in
Quantitative and Qualitative Data
• Quantitative Data
Objective
Deductive
Numbers
• Qualitative Data
Subjective
Inductive
Words
When to Use it
• “You conduct a mixed methods study when
you have both quantitative and qualitative
data and both types of data ,together ,
provide a better understanding of your
research problem than either type by itself.
• Mixed methods research is a good design
to use if you seek to build on the strengths of
both quantitative and qualitative
data.”(Creswell,2012).
How it Developed
• Mixing forms of Quantitative data(1950’s)
• Combing Quantitative Data and Qualitative
Data(1970’s)
• Questioning the Integration of world views and
methods(late 1980’s and early 1990’s)
• Developing Procedures for Mixed Methods
Studies(late 1990’s)
• Advocating for Distinct Design(early 2000’s)
• Reflexive Period(mid.2000’s-last5-7years)
Key Characteristics
• Provide a rational for the design
• Include collecting quantitative and
qualitative data
• Consider Sequence
• Match the data analysis to a design
• Diagram the Procedures
Key Characteristics
Provide Rational for
the design
• Important to know
why you using Mixed
Methods,
• Include justification
for the use of both
types of data
Include a collecting
quantitative and
qualitative data
• “Clearly indicate that
you are collecting
both qualitative and
quantitative
data”(Creswell,2012)
Key Characteristics
Consider Priority
• Priority in mixed
methods design is when
” the research places
more emphasis on one
type than on the other
types of data in the
research and the
written
report”(Creswell,2012)
Consider Sequence
• “Mixed methods
researchers ” advance
the sequence of data
collecting using
concurrent or
sequential approaches
or some
combination”(Creswell,
2012)
Key Characteristics
Match Data Analysis to a
design
• The data analysis needs
to match the research
design
Diagram the Procedures
• Visualization or diagram
of the design showing
the procedures
• Label the data
• Indicating the sequence
• Emphasizing the priority
Types of Designs
• The Convergent Parallel Design
• The Explanatory Sequential Design
• The Exploratory Sequential Design
• The Embedded Design
• The Transformative design
• The Multiphase Design
Types of Designs
Convergent Parallel
• Collect both number
and text data at the
same time
• Merge the data
• Rational : one of the
data collection designs
strengths will offset the
other’s weakness
Explanatory sequential
• Two-phase
• Collects number data then
collects narrative data to
explain number data
• Rational : number data
provides a general picture
and the narrative data
helps explain the general
picture
Convergent
• Quantitative and
Qualitative results
are compared
Data Collection Data collection
Data Analysis Data Analysis
Qualitative
findings
Quantitative
findings
Explanatory Sequential
Quantitative results
are further explained
by Qualitative data
and results
Data Collection Data collection
Data Analysis Data Analysis
Qualitative
findings
Quantitative
Results
Interpretations
Exploratory Sequential
• Two-phase
• Start with narrative
data then collects
number data to
explain relationship
Embedded
• Collect data at the
same time or
sequentially but one
will be more
supportive of the
other
Exploratory Sequential
Data Collection Data collection
Data Analysis Data Analysis
Qualitative
findings
Quantitative
Results
Interpretations
Qualitative exploration
leading to a quantitative
test
Transformative
• Complex
• Intent is to address a
social issue
• Common issues are
racial , ethnic , and
disability
Multiphase
• Complex
• Series of phases or
separate studies
Adding a framework Advanced Mixed
Methods Designs
Basic Design
+
Convergent
Explanatory Seq.
Exploratory Seq.
Added framework
(Such as )
Experiment Case
Study
=
Basic Design
Advanced Design
Ethical Issues
There have not been a lot of discussions
rearing the ethical issues that arise in
mixed methods research . One major
concern is the design of grouping all
participants together in a general
category that may stereotype them .
Also, you need to look at the ethical
considerations of the two types of data.
Steps in Conducting Research
Step1 .determine if a mixed methods study is
feasible.
Step2. Identify rational for mixing methods.
Step3. Identify a data collection strategy.
Step4 .Develop Quantitative ,Qualitative, and
mixed methods questions.
Step5. Collect Quantitative and Qualitative data.
Step6. Analyze data separately, concurrently or
both.
Step7. Write the report as a one-or-two-phase
study or a multiple-phase study.
Evaluation of the Quality of these
research designs
AS a form of qualitative and quantitative
research ,”mixed methods needs to be
consistent in it's criteria for a good
qualitative and quantitative study”.
Summary of Mixed Methods Research
1. Collecting and analyzing qualitative and
quantitative data (open-and closed-ended) in
response to research questions.
2. Using rigorous qualitative and
quantitative methods.
3. Combining or integrating quantitative
and qualitative data using a specific type of
mixed methods design.
4. Framing the mixed methods design
within a broader framework(e g; experiment
,theory , or philosophy).

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Mixed methods designs

  • 1. Mixed Methods Designs Definition A procedure used to collect both qualitative and quantitative data. This is done due to the fact that it is believed that both types of studies will provided a clearer understanding of what is being studied. “It consists of merging ,integrating ,linking ,or embedding the two “strands””(Ceswell,2012).
  • 2. Understanding the Difference in Quantitative and Qualitative Data • Quantitative Data Objective Deductive Numbers • Qualitative Data Subjective Inductive Words
  • 3. When to Use it • “You conduct a mixed methods study when you have both quantitative and qualitative data and both types of data ,together , provide a better understanding of your research problem than either type by itself. • Mixed methods research is a good design to use if you seek to build on the strengths of both quantitative and qualitative data.”(Creswell,2012).
  • 4. How it Developed • Mixing forms of Quantitative data(1950’s) • Combing Quantitative Data and Qualitative Data(1970’s) • Questioning the Integration of world views and methods(late 1980’s and early 1990’s) • Developing Procedures for Mixed Methods Studies(late 1990’s) • Advocating for Distinct Design(early 2000’s) • Reflexive Period(mid.2000’s-last5-7years)
  • 5. Key Characteristics • Provide a rational for the design • Include collecting quantitative and qualitative data • Consider Sequence • Match the data analysis to a design • Diagram the Procedures
  • 6. Key Characteristics Provide Rational for the design • Important to know why you using Mixed Methods, • Include justification for the use of both types of data Include a collecting quantitative and qualitative data • “Clearly indicate that you are collecting both qualitative and quantitative data”(Creswell,2012)
  • 7. Key Characteristics Consider Priority • Priority in mixed methods design is when ” the research places more emphasis on one type than on the other types of data in the research and the written report”(Creswell,2012) Consider Sequence • “Mixed methods researchers ” advance the sequence of data collecting using concurrent or sequential approaches or some combination”(Creswell, 2012)
  • 8. Key Characteristics Match Data Analysis to a design • The data analysis needs to match the research design Diagram the Procedures • Visualization or diagram of the design showing the procedures • Label the data • Indicating the sequence • Emphasizing the priority
  • 9. Types of Designs • The Convergent Parallel Design • The Explanatory Sequential Design • The Exploratory Sequential Design • The Embedded Design • The Transformative design • The Multiphase Design
  • 10. Types of Designs Convergent Parallel • Collect both number and text data at the same time • Merge the data • Rational : one of the data collection designs strengths will offset the other’s weakness Explanatory sequential • Two-phase • Collects number data then collects narrative data to explain number data • Rational : number data provides a general picture and the narrative data helps explain the general picture
  • 11. Convergent • Quantitative and Qualitative results are compared Data Collection Data collection Data Analysis Data Analysis Qualitative findings Quantitative findings
  • 12. Explanatory Sequential Quantitative results are further explained by Qualitative data and results Data Collection Data collection Data Analysis Data Analysis Qualitative findings Quantitative Results Interpretations
  • 13. Exploratory Sequential • Two-phase • Start with narrative data then collects number data to explain relationship Embedded • Collect data at the same time or sequentially but one will be more supportive of the other
  • 14. Exploratory Sequential Data Collection Data collection Data Analysis Data Analysis Qualitative findings Quantitative Results Interpretations Qualitative exploration leading to a quantitative test
  • 15. Transformative • Complex • Intent is to address a social issue • Common issues are racial , ethnic , and disability Multiphase • Complex • Series of phases or separate studies
  • 16. Adding a framework Advanced Mixed Methods Designs Basic Design + Convergent Explanatory Seq. Exploratory Seq. Added framework (Such as ) Experiment Case Study = Basic Design Advanced Design
  • 17. Ethical Issues There have not been a lot of discussions rearing the ethical issues that arise in mixed methods research . One major concern is the design of grouping all participants together in a general category that may stereotype them . Also, you need to look at the ethical considerations of the two types of data.
  • 18. Steps in Conducting Research Step1 .determine if a mixed methods study is feasible. Step2. Identify rational for mixing methods. Step3. Identify a data collection strategy. Step4 .Develop Quantitative ,Qualitative, and mixed methods questions. Step5. Collect Quantitative and Qualitative data. Step6. Analyze data separately, concurrently or both. Step7. Write the report as a one-or-two-phase study or a multiple-phase study.
  • 19. Evaluation of the Quality of these research designs AS a form of qualitative and quantitative research ,”mixed methods needs to be consistent in it's criteria for a good qualitative and quantitative study”.
  • 20. Summary of Mixed Methods Research 1. Collecting and analyzing qualitative and quantitative data (open-and closed-ended) in response to research questions. 2. Using rigorous qualitative and quantitative methods. 3. Combining or integrating quantitative and qualitative data using a specific type of mixed methods design. 4. Framing the mixed methods design within a broader framework(e g; experiment ,theory , or philosophy).