A note on merging
findings with regard to mixed methods research: for MBA students
Regarding
the context of doing an MBA dissertation project with the research philosophy
and the research approach of mixed methods research, please advise three main
ways on how to mix or combine quantitative and qualitative research findings,
notably in the dissertation report chapter [chapter 5] of "discussion of
findings", after chapter 4 "presentations of research findings".
In Chapter 5, the key is to move beyond restating
Chapter 4 separately: organise the discussion around each research question or
theme, then explicitly compare, connect, and interpret the quantitative and
qualitative evidence together. Three practical ways to do this are
triangulation, joint displays, and an integrative narrative/meta-inference.
1. Triangulate findings by research question
For each research question, place the
survey/statistical result and the interview/focus-group finding side by side,
then classify their relationship as convergence (they agree), complementarity
(they explain different aspects), or dissonance/divergence (they
conflict). This is normally done at the interpretation stage, after each
dataset has been analysed separately.
For an MBA dissertation, structure Chapter 5 as:
·
Research Question
1: Quantitative result → Qualitative
result → Convergence/complementarity/divergence → Interpretation.
·
Research Question
2: Repeat the same sequence.
·
Research Question
3: Repeat, including any
unexpected or contradictory findings.
For example, if 72% of survey respondents rate a
service as satisfactory, but interviewees complain about slow complaint
handling, do not simply report both facts. Discuss that the quantitative result
measures overall satisfaction, while the qualitative data reveals a specific
weakness that may not be visible in the aggregate score. This produces a richer
managerial interpretation than either method alone.
2. Use a joint display or convergence matrix
A joint display is a table, matrix, or
figure that places quantitative and qualitative findings alongside each other
and shows the integrated interpretation. It is one of the clearest ways to
demonstrate genuine mixed-methods integration in a dissertation.
A simple Chapter 5 format could be:
|
Theme
/ research question |
Quantitative
finding |
Qualitative
finding |
Relationship |
Integrated
interpretation |
|
Customer loyalty |
High repeat-purchase
intention |
Customers value staff
responsiveness |
Convergence |
Responsiveness is a key
driver of loyalty |
|
Digital adoption |
Moderate usage of mobile app |
Older customers find
navigation difficult |
Complementarity |
Adoption is constrained by
usability, not lack of interest |
|
Price perception |
Price is not the top-rated
factor |
Interviewees emphasise
reliability and trust |
Partial divergence |
Price matters, but trust may
mediate purchase decisions |
The matrix should not replace discussion; it should
support it by making the points of agreement, difference, and added insight
visible.
3. Develop meta-inferences through an integrative
narrative
After comparing the two strands, write an integrative
narrative that explains what the combined evidence means for your research
problem, theory, and managerial practice. A meta-inference is the new
conclusion that emerges only when the quantitative and qualitative findings are
interpreted together.
In practice, each discussion section should answer:
·
What does the quantitative
evidence show?
·
What does the qualitative
evidence show?
·
How do they confirm, enrich,
qualify, or challenge each other?
·
What overall conclusion or
managerial recommendation follows?
·
How does this relate to the
literature reviewed in Chapter 2?
For example: “The survey indicates that perceived
service quality is positively associated with repurchase intention, while
interviews explain the mechanism: frontline staff responsiveness builds trust
during service failures. Together, the findings suggest that investment in
staff empowerment and complaint-resolution training may be a higher-leverage
loyalty strategy than across-the-board price reductions.” This is an integrated
interpretation, not merely two sets of findings reported in sequence.
Recommended Chapter 5 structure
A strong structure for your dissertation could be:
1.
Introduction to
the discussion — restate the aim, research
questions, and integration approach.
2.
Discussion by
research question or theme — use
triangulation for each question.
3.
Joint displays — include one or more matrices to make integration
visible.
4.
Convergent,
complementary, and divergent findings — explicitly
discuss agreement, added insight, and contradictions.
5.
Meta-inferences
and synthesis — state the combined
conclusions.
6.
Links to
literature and theory — explain whether findings
support, extend, or challenge prior research.
7.
Managerial
implications — translate integrated
findings into practical recommendations.
8.
Limitations
arising from integration — acknowledge
sample differences, timing, measurement limits, or possible explanation for
divergent results.
The most important examiner-facing principle is
this: Chapter 4 presents the findings; Chapter 5 integrates them. Use
triangulation to compare them, joint displays to organise them, and
meta-inferences to explain their combined meaning.
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