research seminar lecture_8_mixed_methods_research
TRANSCRIPT
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Research Seminar for
Educational Sciences
Prof. Dr. Chang Zhu
Department of Educational Sciences
Vrije Universiteit Brussel
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Mixed-methods research
� Mixed methods research combines
quantitative and qualitative
approaches by including both
quantitative and qualitative data in
one study.
� Mixed research (another name)2
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Mixed-methods research
• Combine quantitative and qualitative methods
at all stages of the data collection and analysis
• Combines depth (qualitative) and breadth
(quantitative)
• Overcomes the weaknesses of both methods
• Strengthens validity through triangulation
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The fundamental principle of
mixed research
• The researcher should use a mixture or
combination of methods that has
complementary strengths and no overlapping
weaknesses.
• There is a logic why mixing quantitative and
qualitative research approaches.
• Mixing should be systematic and well thought
out when planning and designing a research.
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Mixed-methods research designs
Concurrent Sequential
Equal
Status
QUAL +
QUAN
QUAL �QUAN
QUAN �QUAL
Dominant
Status
QUAL + quan
QUAN + qual
QUAL � quan
qual � QUAN
QUAN � qual
Quan � QUAL
qual→QUAN→qual
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Mixed-methods research
designs
• A sequential time order: the qualitative and
quantitative phases are conducted one after the
other
• A concurrent time order: the quantitative and
qualitative phases occur at approximately the
same time—parallel sub-studies.
• The choice depends on if the results of one phase will be
needed to inform the next phase and/or when the nature of the
research questions requires that a phase occurs after or before
another phase. A concurrent design can be done when both
kinds of information are needed at roughly the same time.
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Mixed-methods research designs
• QUAL�quan model (Exploratory)
• QUAN � qual model (Explanatory)
• QUAN-QUAL model/QUAL-QUAN
model (Triangulation)
• qual→QUAN→qual
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Mixed-methods research designs
• QUAL → quan model (Exploratory)� Qualitative data are collected first and are more heavily
weighted than quantitative data (phase I)
� An exploratory study comes first with observations or
open-ended interviews to identify concepts or seek for
understanding of a certain phenomenon.
� In a second phase, variables are identified from concepts
derived from the qualitative analyses.
� In phase II, conducts survey or other quantitative methods
to collect data; the validity of the qualitative results can be
enhanced by the quantitative results
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Mixed-methods research designs
• QUAN → qual model (Explanatory)
� Quantitative data are collected first and weighted
more heavily than qualitative data (phase I)
� Based on the findings of the quantitative data,
decides what type of qualitative data is needed in a
second study/ phase 2 as a source of
interpretation/explanation.
� The qualitative data analysis and interpretation can
be used to help explain or elaborate on the
quantitative results.9
Main types of mixed research
designs
• QUAN-QUAL/ QUAL-QUAN model
(Triangulation)
� equally weighted and are collected at the same
time in the same study
� the strengths of one method offsets the weaknesses
of the other method
� the fully integrated QUAN-QUAL approach is the
most challenging
� analyze and discuss if the sources from
quantitative and qualitative data revealed similar
findings or not 10
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Main types of mixed research
designs
• qual→QUAN→qual
• Dominant status sequential design
• The quantitative paradigm is given major emphasis
• The design occurs in three separate phases
• A qualitative phase: exploratory qualitative
information
• A quantitative phase: primary research question is
to be addressed by a quantitative approach
• A qualitative phase: explanatory information
Main types of mixed research
designs
• qual→QUAN→qual: an example
Phase I: open-ended questions or
interviews/focus groups to help determine the
content of the survey instrument
Phase II: survey instrument to collect
quantitative data
Phase III: select typical persons/samples for in-
depth interviews
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Research report with mixed-
methods
• The styles of writing: challenging to strike a
balance between the two forms of writing.
• Be clear about the research design, research
procedures
• Structure the reporting of results in a logic and
meaningful way
• Can be lengthy, so good structure is important
Example article
Title: Motivation beliefs of secondary school
teachers
Design: QUAN → qual (explanatory)
Study 1: quantitative: self-efficacy, academic
climate, collective efficacy
Study 2: in-depth semi-structured interviews
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Example article
Title: Pre-service and beginning teachers’
professional identity
Design: QUAL-QUAN (Triangulation)
QUAL: semi-structured interviews
QUAN: survey questionnaire: value, self-
efficacy, commitment, emotion,
micropolitics
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Assignment
• Read the example articles
• Prepare for your research proposal