A note on research philosophies: for Housing Studies
Highlight 4 main ideas on each of the
following research philosophies, in the context of Housing Studies dissertation
projects:
1. positivism
2. interpretivism
3. pragmatism
4. critical
realism
Also indicate two preferred primary research
method designs for each of these 4 research philosophies.
For a Housing Studies dissertation, your research
philosophy should follow from your research question: whether you seek
measurable patterns, residents’ meanings, practical solutions, or the
underlying mechanisms producing housing outcomes. The four philosophies differ
in assumptions about reality, knowledge, and suitable evidence.
1. Positivism
1.
Objective,
external reality: Housing phenomena—such as
rent levels, overcrowding, tenure type, or satisfaction—are treated as
observable and measurable facts.
2.
Deductive,
theory-testing logic: The researcher derives
hypotheses from theory, operationalises variables, and tests relationships
statistically.
3.
Emphasis on
reliability and generalisation: Large samples,
standardised instruments, and transparent measurement help produce findings
that can be compared across households, estates, or districts.
4.
Causal or
associative explanation: The aim is often
to identify whether factors such as income, household size, housing quality, or
location predict outcomes such as housing satisfaction or mobility.
Preferred primary method designs
·
Cross-sectional
household survey: A structured questionnaire
administered to residents in public or private housing, analysed using
descriptive statistics, correlation, or regression.
·
Quasi-experimental
or comparative design: Comparison of
housing outcomes before and after a policy intervention, or between
estates/tenure groups, using administrative data and statistical testing.
2. Interpretivism
1.
Socially
constructed reality: “Home,” “neighbourhood,”
“security,” and “housing need” are understood through residents’ lived
experiences and social meanings.
2.
Inductive,
context-sensitive inquiry: Research usually
begins with participants’ accounts and develops themes or concepts from the
data rather than testing pre-set hypotheses.
3.
Depth over
breadth: The priority is rich
understanding of why people experience housing in particular ways, rather than
producing statistically generalisable estimates.
4.
Researcher
reflexivity: Because the researcher interprets
participants’ meanings, the dissertation should explain how positionality,
interview style, and context may shape the findings.
Preferred primary method designs
·
Semi-structured
in-depth interviews: Interviews with tenants,
homeowners, frontline housing staff, or policy actors, followed by thematic
analysis.
·
Ethnographic case
study: Sustained observation in an
estate, shelter, regeneration site, or housing office, combined with
fieldnotes, informal conversations, and documents.
3. Pragmatism
1.
Problem-centred
research: The starting point is a
practical housing problem—for example, how to improve estate management, tenant
participation, or homelessness services—not allegiance to one paradigm.
2.
Methods follow the
research question: Quantitative, qualitative, or
mixed methods are selected according to which evidence best answers the
question and supports useful action.
3.
Combination of
perspectives: A study may measure the scale
of a problem while also exploring residents’ experiences and implementation
barriers.
4.
Orientation to
practical consequences: Findings should
inform recommendations, programme design, policy improvement, or
housing-management practice.
Preferred primary method designs
·
Convergent
mixed-methods design: A resident survey measuring
housing satisfaction or service quality, alongside interviews or focus groups
explaining the reasons behind the patterns.
·
Action research /
programme evaluation design: Collaboration
with a housing organisation to assess an intervention, combining outcome
indicators, staff interviews, and resident feedback.
4. Critical Realism
1.
Stratified
reality: Housing outcomes are shaped
by observable events, but also by underlying structures and mechanisms—such as
land markets, welfare systems, landlord power, discrimination, and policy
regimes—that may not be directly visible.
2.
Fallible,
theory-laden knowledge: Researchers can
study real housing problems, but their knowledge is provisional and mediated by
concepts, data, and context.
3.
Explanation of
“what works, for whom, and why”: Critical realism
asks not only whether an intervention or condition is associated with an
outcome, but which mechanisms generate that outcome under particular
circumstances.
4.
Abductive or
retroductive reasoning: The researcher
moves between observed patterns and possible underlying mechanisms, refining
explanations through evidence.
Preferred primary method designs
·
Comparative
multiple-case study: Compare several housing
estates, cities, or policy settings, using interviews, policy documents, and
contextual statistics to identify mechanisms behind different outcomes.
·
Realist evaluation
design: Evaluate a housing programme
by developing context–mechanism–outcome configurations, using programme data,
interviews with stakeholders, and documentary analysis.
Quick orientation
|
Philosophy |
Main
dissertation aim |
Typical
housing question |
Main
method designs |
||||
|
Philosophy |
Main
dissertation aim |
Typical
housing question |
Main
method designs |
||||
|
Positivism |
Measure and test
relationships |
“What factors predict
housing satisfaction?” |
Survey;
quasi-experiment/comparative statistics |
||||
|
Interpretivism |
Understand meanings and
experiences |
“How do relocated residents
define a good home?” |
In-depth interviews;
ethnographic case study |
||||
|
Pragmatism |
Solve a practical problem |
“How can tenant
participation be improved?” |
Mixed methods; action
research/evaluation |
||||
|
Critical realism |
Explain underlying
mechanisms |
“Why do similar households
have different housing outcomes?” |
Comparative case study;
realist evaluation |
||||
Positivism is most closely associated with
quantitative survey and experimental designs; interpretivism with qualitative
interviews and ethnography; pragmatism with mixed-methods and action-oriented
designs; and critical realism with mixed or case-based designs that link
observed outcomes to underlying causal mechanisms.
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