A brief note on the
main secondary research methods: for Housing Studies students
Highlight 4 main
ideas on each of the following secondary research methods in the context of
doing part-time Housing Studies dissertation projects:
1. systematic
literature review
2. secondary data
analysis
3. document and
content analysis
4. narrative
reviews
5. scoping reviews
Here are four main
ideas for each of the five secondary research methods, tailored to part-time
Housing Studies dissertation projects:
1. Systematic Literature Review
- Transparent,
reproducible search protocol: Define clear
inclusion/exclusion criteria (e.g., peer-reviewed housing policy studies
from 2010–2025, English/Chinese, Hong Kong/Singapore focus) and document
databases searched (Scopus, Web of Science, HKU Scholars Hub) so others
can replicate your process.guides.library.lincoln.ac
- Focused
research question (PICO/SPIDER style): Frame
a precise question such as “What is the impact of inclusionary zoning on
affordable housing supply in high-density Asian cities?” to guide
screening and synthesis.ncbi.nlm.nih
- Critical
appraisal and quality assessment: Use tools like CASP or
MMAT to evaluate study rigour (sampling, validity, bias) before
synthesising findings—essential when advising MBA students on evidence
strength.arxiv
- Structured
synthesis (narrative or meta-analytic):
Present results thematically (e.g., policy instruments, stakeholder
responses) or statistically if data permit, highlighting gaps your
dissertation could address (e.g., lack of longitudinal Hong Kong data).guides.library.lincoln.ac
2. Secondary Data Analysis
- Leverage
existing large-scale datasets: Use publicly available
housing data (e.g., Hong Kong Census, HKSAR Housing Authority statistics,
Singapore HDB reports) to test hypotheses without primary data collection
costs or ethics delays.ukdataservice.ac
- Methodological
alignment with research questions: Ensure variables match
your constructs (e.g., “housing affordability” operationalised as
price-to-income ratio) and apply appropriate techniques (regression,
time-series) for robust inference.researchprospect
- Data
quality and limitations scrutiny: Assess coverage,
missingness, and potential biases (e.g., undercounting of subdivided
units) and discuss how these affect validity—key for dissertation
defensibility.irep.ntu.ac
- Ethical
and licensing compliance: Confirm data use
permissions (e.g., CC-BY, government open data) and cite sources properly;
no new ethics approval typically needed, but transparency is required.ukdataservice.ac
3. Document and Content Analysis
- Purposeful
document selection: Identify policy texts,
planning reports, media articles, or developer disclosures relevant to
your housing topic (e.g., Hong Kong’s “Long-Term Housing Strategy” white
papers).irep.ntu.ac
- Systematic
coding framework: Develop categories (e.g., “affordability
measures”, “stakeholder voices”) and apply them consistently across
documents, using software (NVivo, MAXQDA) or manual matrices for
auditability.libguides.tees.ac
- Contextual
and discourse sensitivity: Interpret not just what is
said but how (tone, framing, omissions)—crucial for understanding
political economy of housing reforms in Asian contexts.irep.ntu.ac
- Triangulation
with other evidence: Cross-check document
claims against statistics or interview data (if available) to strengthen
credibility and uncover contradictions (e.g., policy rhetoric vs.
implementation gaps).researchprospect
4. Narrative Reviews
- Broad,
explanatory overview: Provide a scholarly
“story” of housing research evolution (e.g., from welfare-state models to
market-led approaches in Asia) to orient readers and justify your study’s
niche.sujith-eag
- Author-guided
synthesis: Select seminal and recent works based on
relevance and insight (not exhaustive search), allowing critical
commentary and theoretical integration (e.g., linking gentrification
theories to Hong Kong case studies).guides.library.lincoln.ac
- Identify
themes and debates: Highlight recurring topics
(e.g., rent control efficacy) and unresolved tensions (e.g., supply-side
vs. demand-side solutions) to position your research contribution.ncbi.nlm.nih
- Limitations
acknowledged: Explicitly note potential selection bias and
lack of reproducibility versus systematic reviews—important for MBA-level
methodological rigour.guides.library.lincoln.ac
5. Scoping Reviews
- Map the
landscape, not answer a narrow question: Aim
to chart the breadth of housing studies literature (e.g., “What types of
interventions address informal housing in Southeast Asia?”) to reveal gaps
and future research directions.sujith-eag
- Iterative,
inclusive search strategy: Cast a wide net across
disciplines (urban planning, public policy, sociology) and document types
(grey literature, theses) without strict quality filters initially.arxiv
- Descriptive
synthesis and visual mapping: Use tables, charts, or
concept maps to display study characteristics (methods, geographies,
populations)—helpful for dissertation proposals needing to justify scope.guides.library.lincoln.ac
- Stakeholder
engagement optional but valuable: Consult practitioners or
policymakers (e.g., Hong Kong Housing Society) to refine focus areas,
ensuring practical relevance for part-time students balancing work and
study.arxiv
These approaches
can be mixed (e.g., scoping review → systematic review on a sub-topic)
depending on your dissertation timeline and resources. For MBA/Housing Studies
students in Hong Kong, emphasising local policy relevance and data
accessibility will strengthen both academic and practical impact.
Briefly explain where to locate the research method
design and where to locate the research method findings for each of these five
secondary research methods: in chapter 2 (Literature Review), chapter 3
(research methodology) or chapter 4 (presentation of research findings) of a a
Housing studies dissertation report.
In a standard three-chapter
empirical dissertation structure (Ch 2 = Literature Review, Ch 3 = Methodology,
Ch 4 = Findings), the placement of method
design and method
findings for each secondary research method is as follows:
1.
Systematic Literature Review
·
Method design: Chapter 3 (Research Methodology) – describe
search strategy, databases, inclusion/exclusion criteria, quality appraisal
tools, and synthesis plan.research-methodology+1
·
Method findings: Chapter 4 (Presentation of Research
Findings) – present the PRISMA flow diagram, characteristics table of included
studies, and thematic/statistical synthesis results.research-methodology
2. Secondary
Data Analysis
·
Method design: Chapter 3 – specify datasets used (e.g.,
HKSAR Census, HDB stats), variable operationalisation, sampling frame (if any),
and analytical techniques (e.g., regression).scribd+1
·
Method findings: Chapter 4 – report descriptive statistics,
model outputs, tables/figures, and diagnostic tests derived from the secondary
dataset.research-methodology
3. Document
and Content Analysis
·
Method design: Chapter 3 – outline document selection
rationale, coding framework development, software (e.g., NVivo), and
inter-coder reliability procedures.scribd+1
·
Method findings: Chapter 4 – present coded themes,
illustrative excerpts, frequency tables, and discourse patterns identified
across the analysed documents.research-methodology
4. Narrative Reviews
·
Method design: Chapter 2 (Literature Review) – since
narrative reviews are the literature
review, the “method” (search approach, selection logic) is briefly stated in
the introduction to Chapter 2, not in Chapter 3.scribd+1
·
Method findings: Chapter 2 – the synthesis, thematic
discussion, and gap identification are
the findings; they do not reappear in Chapter 4.research-methodology
5. Scoping Reviews
·
Method design: Chapter 3 – detail the broad search
strategy, iterative screening process, and mapping framework (e.g., Arksey
& O’Malley stages).scribbr.co+1
·
Method findings: Chapter 4 – display the evidence map (tables/charts
of study types, geographies, populations) and descriptive summary of the
literature landscape.
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