A note on idealism and realism: for Housing Studies students

A note on idealism and realism: for Housing Studies students

 

In the context of studying Research Methods by Housing Studies students, highlight 4 main ideas on (1) idealism and (2) realism. Also clarify whether idealism and interpretivism are the same and whether realism and positivism are the same.

Idealism and realism are primarily ontological positions: they concern what kind of reality exists. They are not simply labels for qualitative versus quantitative methods, and neither maps perfectly onto interpretivism or positivism. In housing research, they help you decide whether you are studying housing as an external set of conditions, as socially constructed meanings, or—often most productively—both.

First, locate the concepts

Level of research philosophy	Core question	Examples relevant here
Ontology	What is the nature of reality?	Idealism, realism
Epistemology	What counts as knowledge, and how can we know it?	Objectivism, constructionism, subjectivism
Methodology / paradigm	How should inquiry be organised?	Positivism, interpretivism, critical realism, pragmatism
Methods	What techniques collect and analyse evidence?	Survey, census-data analysis, interview, observation, case study

A methodological choice should follow from—not be confused with—your assumptions about reality and knowledge. A research paradigm connects ontology, epistemology, methodology, and methods.

Idealism: four main ideas

In Research Methods, idealism normally means an ontological position that gives a central role to mind, consciousness, interpretation, and socially shared meaning in constituting the social world.

1.    Social reality is meaning-dependent.
A dwelling is physically present, but “home,” “overcrowding,” “security,” “neighbourhood quality,” or “housing success” do not carry a single self-evident meaning. Their meanings emerge through how residents, landlords, officials, and communities understand and use them. The idealist question is not only “What is housing?” but also “What does housing mean to people in this context?”

2.    There may be multiple realities or accounts.
The same public-rental estate can be experienced as stable and supportive by an elderly tenant, restrictive by a young adult seeking independence, and successful or problematic by a policymaker using administrative indicators. Idealism does not automatically say that any claim is equally persuasive; it says that lived meanings are plural, situated, and need interpretation.

3.    Language, culture, and history shape the phenomenon studied.
Categories such as “adequate housing,” “aspirational home ownership,” “waiting time,” “housing need,” and “community” are not neutral descriptions alone. They reflect cultural expectations, policy definitions, historical conditions, and social discourse. Researchers therefore attend to participants’ words, stories, symbols, and the local context in which meanings are made.

4.    Research aims to understand rather than merely measure.
Idealist-compatible research commonly asks exploratory “how” and “what does it mean” questions. It often uses in-depth interviews, focus groups, participant observation, documents, and qualitative case studies to develop contextualised understanding. It does not prohibit numerical data; rather, numbers alone may be insufficient to explain what residents’ actions and reported views mean.

Housing illustration:
If the topic is “Why do some older residents resist relocation despite living in objectively smaller or older units?”, an idealist-oriented study would investigate attachment to place, neighbour networks, identity, memories, perceived safety, and the personal meaning of remaining—not only floor area, rent, or distance to services.

Realism: four main ideas

Realism is the ontological view that a reality exists independently of a particular researcher’s beliefs, perceptions, or language. In housing, properties, institutions, policy rules, prices, tenure arrangements, and material constraints do not disappear because an individual interprets them differently.

1.    An external housing reality exists.
Housing supply, dwelling size, rent levels, building conditions, mortgage rates, eligibility criteria, and waiting-list rules have effects whether or not a researcher or respondent personally approves of them. Realism therefore treats the social world as more than individual opinion.

2.    The real is not limited to what is directly observed.
A particularly valuable version for Housing Studies is critical realism. It distinguishes between observable events—for example, long waiting times or frequent moves—and deeper mechanisms or structures that may generate them, such as land policy, financing systems, welfare rules, labour-market insecurity, landlord practices, or institutional power. Housing research has specifically used critical realism to examine the relation between housing, home, and wider social structures.

3.    People’s interpretations matter, but they do not wholly create material conditions.
A tenant may perceive their flat as unaffordable, safe, or unsuitable; those perceptions are important data. Yet rent, building defects, household income, and tenancy conditions may also be independently verifiable and may constrain choices regardless of perception. A realist approach therefore examines both subjective accounts and the conditions that enable or limit them.

4.    The research task is explanation of causal processes and mechanisms.
Rather than stopping at an association—such as “low income correlates with overcrowding”—a realist asks: Through what mechanisms, in what settings, and for whom does this occur? It can use statistics, interviews, policy documents, historical analysis, and case comparison. Critical realism commonly values methodological pluralism and triangulation because no single source fully reveals complex social mechanisms.

Housing illustration:
For “Why is housing mobility low among low-income private renters?”, a realist study might combine tenancy records and survey evidence with interviews. It could examine mechanisms such as deposit requirements, insecure employment, limited affordable supply, discrimination, school-location needs, and information asymmetry—not merely report a correlation between income and moving.

Are they the same?

Idealism and interpretivism

No—although they are closely related.

• Idealism is mainly an ontological claim: social reality, or at least its social meaning, is dependent on consciousness, ideas, interpretation, and human meaning-making.
• Interpretivism is a broader research paradigm or approach: it seeks to understand the subjective meanings that social actors attach to their actions and circumstances.
• Because interpretivism generally assumes that meanings are socially constructed, it is often associated with idealist, relativist, constructionist, or subjectivist assumptions. But they are not interchangeable words. An interpretivist must still state their ontological and epistemological stance clearly rather than simply writing “this study uses interpretivism.”

A concise way to remember it is:

Idealism: reality/meaning is constituted through mind and social interpretation.
Interpretivism: investigate and interpret the meanings people give to their social world.

Realism and positivism

No—although classical positivism usually rests on a realist ontology.

• Realism is an ontological claim: objects, structures, and mechanisms exist independently of the individual knower.
• Positivism is a wider philosophy of research that emphasises observation, measurement, hypothesis testing, objectivity, explanation of causal relationships, and often prediction and generalisation.
• Classical positivism typically combines realism with an objectivist epistemology and deductive, often quantitative designs. Thus, realism can be one foundation of positivism.
• But realism is broader than positivism. Critical realism, for example, accepts an independent reality but argues that researchers’ knowledge of it is fallible, theory-laden, and often indirect. It also accepts that social structures and causal mechanisms may not be directly observable. Consequently, critical realists often combine qualitative and quantitative evidence rather than rely solely on positivist measurement.

A concise way to remember it is:

Realism: an independent world exists.
Positivism: use systematic observation and testing to develop objective, often generalisable, knowledge about that world.

Practical dissertation guidance

For a Housing Studies dissertation, avoid writing simplistic equivalences such as:

• “I use interviews; therefore my ontology is idealist.”
• “I use a survey; therefore I am positivist.”
• “Critical realism means I must use mixed methods.”

Instead, align the choices with the question:

If your main question is…	Plausible philosophical emphasis	Suitable evidence
“How do residents define a good home after relocation?”	Idealist / interpretivist	Semi-structured interviews, narratives, observation, thematic analysis
“What factors predict housing satisfaction across estates?”	Realist with positivist or post-positivist orientation	Survey, administrative data, regression or comparative statistical analysis
“Why do apparently similar households experience different housing outcomes?”	Critical realist	Interviews, policy and institutional documents, contextual statistics, comparative cases
“What policy intervention works to improve tenants’ outcomes, and how?”	Pragmatist or critical realist	Mixed methods, evaluation data, interviews, implementation evidence

A strong Housing Studies formulation might be:

“This study adopts a critical realist position. It assumes that housing institutions and material conditions exist independently of individual perceptions, while recognising that tenants interpret and respond to those conditions differently. The study therefore combines documentary analysis with semi-structured interviews to investigate the mechanisms shaping residents’ housing experiences.”

That statement makes a defensible distinction: housing structures are real; housing experiences are interpreted; the research investigates their relationship.

A note on idealism and realism: for MBA students

A note on idealism and realism: for MBA students

 

In the context of studying Research Methods by MBA students, highlight 4 main ideas on (1) idealism and (2) realism. Also clarify whether idealism and interpretivism are the same and whether realism and positivism are the same.

First distinction: ontology vs epistemology

For MBA research, separate ontology—what you believe reality is—from epistemology—how you think knowledge about that reality can be gained. Idealism and realism mainly address ontology; interpretivism and positivism mainly guide how researchers seek and justify knowledge.

Idealism: 4 main ideas

1.    Reality is mind-dependent. What people experience as “social reality” is shaped by consciousness, ideas, perceptions, and meanings rather than existing wholly apart from people?

2.    Meanings matter more than physical facts alone. For example, an “excellent customer experience” is not merely a service-time metric; it depends on how customers interpret courtesy, trust, value, and fairness.

3.    Multiple understandings can coexist. A manager, employee, and customer may give different but meaningful accounts of the same organisational change.

4.    Research explores sense-making. Interviews, observations, and analysis of language or narratives can help investigate how people construct and experience a phenomenon.

Realism: 4 main ideas

1.    Reality exists independently of the researcher. Organisations, market conditions, policies, and causal structures do not disappear because someone interprets them differently.

2.    What we observe is not all that exists. In critical realism, observable events may be generated by deeper mechanisms—for instance, incentive structures, power relations, or resource constraints.

3.    Knowledge is fallible. Researchers can investigate reality, but conclusions remain open to revision because methods, data, and interpretation are imperfect.

4.    The aim is explanation, not only description. A realist MBA study might ask not just whether employee turnover rose, but what underlying organisational mechanisms produced it.

Are they the same?

Pair	Same?		Key clarification
Pair		Same?		Key clarification
Idealism and interpretivism		No		Idealism is chiefly an ontological claim about the mind- or meaning-dependent nature of reality. Interpretivism is chiefly an epistemological approach that seeks to understand the subjective meanings people attach to actions and experiences. They often fit together, but one does not automatically require the other.
Realism and positivism		No		Realism claims an external reality exists. Positivism adds a stronger claim that reliable knowledge is gained through objective observation, measurement, repeatability, and often hypothesis testing. Critical realism accepts a real external world while also accepting that knowledge is socially shaped and incomplete. files.

 

A note on positivism and post-positivism: for Housing Studies students

A note on positivism and post-positivism: for Housing Studies students

Highlight 4 main ideas of positivism and offer 3 practice advices for part-time Housing Studies students doing dissertation projects; also do so for post-positivism. Finally, discuss how your positivism-based practices advices and that of post-positivism differ.

Positivism and post-positivism both treat housing conditions as a real, empirical field that can be investigated systematically. Their key difference is how confidently they think a researcher can know that reality: positivism aims to establish objective, general laws, whereas post-positivism seeks the most credible but always provisional explanation.

Positivism: four main ideas

1.    An objective reality exists independently of the researcher.
Positivism assumes that features of the social world—such as overcrowding, rent burden, residential satisfaction, housing turnover, or access to public transport—exist as observable facts, whether or not a researcher studies them.

2.    Valid knowledge is empirical and measurable.
The researcher should rely on systematic observation, numerical measurement, and data that can be checked by others. Abstract concepts must be operationalised: for example, “housing affordability” could be measured as housing expenditure as a percentage of household income; “residential satisfaction” could be measured through a standardised Likert-scale survey.

3.    Research should identify causal or law-like relationships.
Positivism seeks patterns that explain, predict, and potentially control outcomes. A typical question is: “To what extent does perceived estate-management quality affect residents’ overall residential satisfaction?” The aim is to test whether changes in one variable are associated with, or cause, changes in another. Positivism assumes that such relationships may be generalisable across relevant settings.

4.    The researcher should be detached, neutral, and value-free.
Positivists try to keep personal beliefs, political views, and interaction with participants from shaping the results. Standardised questionnaires, fixed procedures, probability sampling where feasible, and statistical analysis are intended to reduce subjective influence and support reliability and replicability.

Positivism: three practical advices

For a part-time Housing Studies dissertation—particularly one with a four-month schedule—a focused quantitative design is usually more manageable than an overly ambitious attempt to explain every social aspect of housing.

1.    Frame a narrow, measurable explanatory question.
State a clear population, location, outcome, and proposed explanatory factors. Avoid a broad question such as “What affects quality of life in Hong Kong public housing?” A more positivist and feasible version is:
“What is the relationship between perceived estate-management service quality, neighbourhood accessibility, and residential satisfaction among adult residents of selected public rental housing estates in Hong Kong?”
Define each concept before data collection and convert it into measurable indicators, ideally using items adapted from established housing or service-quality studies.

2.    Use a structured, standardised dataset and analyse it consistently.
A self-administered questionnaire, a properly coded document dataset, or secondary survey/ administrative data can fit a part-time schedule. Use the same questions, scale anchors, and instructions for every respondent. Prepare an analysis plan in advance: descriptive statistics first, then reliability checks for multi-item scales, followed by correlation, group comparison, or regression where the sample and data quality justify it. Positivist methods commonly include surveys, structured interviews, document coding, variable measurement, and statistical analysis.

3.    Build safeguards against error and bias into the design.
Pilot the questionnaire with a small number of people to identify ambiguous wording; use neutral questions rather than leading ones; explain the sampling logic; and record missing data and exclusions. Where possible, control for plausible confounding variables—for example, household income, age, household size, estate age, tenure type, or length of residence—before claiming that management quality “causes” satisfaction. In your write-up, distinguish an observed association from causal proof unless your design genuinely supports causal inference.

Post-positivism: four main ideas

1.    A real world exists, but it can only be known imperfectly.
Post-positivists retain realism: material housing conditions, institutional rules, and social outcomes are real. However, they reject the claim that researchers can observe these phenomena perfectly or reach final certainty. Findings therefore express the best available, probability-based explanation rather than unquestionable truth.

2.    All knowledge claims are fallible and open to refutation.
A theory cannot be conclusively verified by supportive evidence. Instead, it should be exposed to severe testing and possible disconfirmation. Thus, a non-significant or contradictory result is not automatically a dissertation failure; it may show that the proposed explanation does not hold under the stated conditions.

3.    Objectivity is an aspiration achieved through critical procedures, not a guaranteed personal state.
Post-positivism recognises that researchers’ theories, prior knowledge, assumptions, and values affect what they notice, measure, and interpret. The response is not to abandon rigour, but to make bias-reducing procedures explicit: transparent decisions, counter-explanations, peer review, careful sampling, and reflexive acknowledgement of assumptions.

4.    Multiple forms of evidence can strengthen a conclusion.
Quantitative methods remain important—often dominant—but post-positivists may use qualitative evidence and triangulation to test, qualify, or explain statistical patterns. For housing research, survey results may show whether management quality is associated with satisfaction, while interviews, complaint records, or policy documents help assess how, why, and under what conditions that relationship operates.

Post-positivism: three practical advices

1.    Develop hypotheses, but actively seek rival explanations.
For example, begin with:
H1: Higher perceived estate-management quality is associated with higher residential satisfaction.
Then identify alternatives before analysing the data: perhaps estate location, flat size, household income, building age, neighbour relationships, or expectations explain satisfaction more strongly. Your analysis should not merely look for evidence that supports H1; it should test whether the relationship persists after considering these alternatives. This reflects the post-positivist emphasis on falsification and warranted conclusions rather than proof.

2.    Use a small, purposeful mixed-methods design where it adds value.
For a time-constrained dissertation, a realistic design could combine:

o   An online questionnaire measuring satisfaction, management perceptions, accessibility, and household characteristics.

o   Six to ten semi-structured follow-up interviews with residents selected to represent contrasting survey responses—for example, highly satisfied and highly dissatisfied residents.

o   Secondary evidence such as estate-management reports, Housing Authority publications, complaint statistics, or relevant planning documents.

Do not add interviews merely to make the study look sophisticated. Give them a specific role: explaining unexpected statistical patterns, checking whether your survey measures capture residents’ actual concerns, or assessing alternative explanations.

3.    Report conclusions cautiously and transparently.
Include a short reflexive statement explaining your connection to the topic, assumptions, and potential influence on survey design or interview interpretation. Maintain an audit trail: versions of the questionnaire, sampling decisions, coding rules, excluded cases, and analytic choices. Write conclusions such as: “The evidence supports a probable positive association within this sample” rather than “Estate management definitively determines resident satisfaction.” Post-positivism regards research conclusions as credible and testable warrants, not final proof.

How the advice differs

Dimension	Positivism-based practice	Post-positivism-based practice
Central aim	Identify objective, measurable regularities and test a predefined relationship	Produce the strongest available explanation while recognising that it may be incomplete or wrong
Research question	Usually tightly focused on measurable variables and cause–effect relations	Still focused and empirical, but explicitly considers context, uncertainty, and competing explanations
Theory and hypotheses	Theory generates hypotheses to be tested, often with emphasis on confirmation or prediction	Theory generates hypotheses that should be exposed to potential falsification and revision
Preferred evidence	Standardised quantitative data: surveys, administrative data, experiments, structured coding	Quantitative data remain central, but qualitative and documentary evidence may be used for triangulation
Researcher role	Strives for detachment and value-free observation	Strives for objectivity while acknowledging that assumptions and prior knowledge influence inquiry
Treatment of bias	Control or eliminate bias through standardisation, sampling, measurement, and statistics	Control bias and also disclose, examine, and challenge it through reflexivity, transparency, and rival explanations
Nature of conclusion	May make stronger claims about general patterns, prediction, and causation when design permits	Uses qualified conclusions: probable, context-bounded, open to retesting, and subject to revision
Practical dissertation risk	Can become reductionist if complex housing experiences are forced into a few variables	Can become too broad if the student adds too many methods, perspectives, or data sources

In short, the positivist advice tells you to measure carefully, standardise the study, and test a focused relationship. The post-positivist advice tells you to do those things while also challenging your own explanation, checking it against different evidence, and presenting the result as a well-supported but provisional claim. For a part-time Housing Studies project, post-positivism is often especially practical when you want a primarily quantitative study but need enough contextual evidence to avoid simplistic conclusions about residents, estates, or housing policy.

 A collection of blog notes on using chatgpt for research purpose.