Amogh N P
 In loving memory of Amogh N P — Architect · Designer · Visionary 
A flat-lay research workspace — a laptop showing an architectural render, a printed bar chart and an open notebook side by side, the many ways of studying a building, no people, no readable text.
Unit IIIResearch Methods & Field Studies

Analytical & Experimental Methods

The seven research strategies — and which question each fits.

≈ 50 min + studio task

Different questions need different strategies. Groat & Wang organise architectural research in three tiers — systems of inquiry, strategies and tactics — and catalogue seven strategies: interpretive-historical, qualitative, correlational, experimental and quasi-experimental, simulation, logical argumentation, and the case study. Learn each strategy's question and example, the difference between a true and a quasi-experiment, and why correlation is not causation. Try the research-strategy explorer.

Learning objectives

By the end of this lesson, you will be able to — mapped to the course outcomes for Research Methods & Field Studies:

1
CO3 · Understand

Explain Groat & Wang's three tiers — systems of inquiry, strategies and tactics.

2
CO3 · Understand

Describe the seven research strategies and the questions each fits.

3
CO3 · Analyse

Distinguish a true experiment from a quasi-experiment.

4
CO3 · Evaluate

Explain why correlation does not imply causation.

Inquiry, strategy, tactic

Three tiers, one question first

A worldview frames the strategy; the strategy is the overall design; tactics are the techniques. Pick the strategy to fit the question — not the other way round.[1]

Three tiers (Groat & Wang) System of inquiry (worldview) Strategy (overall research design) Tactics (interview · survey · simulation · stats) one strategy uses many tactics; one tactic serves many strategies Pick the strategy to fit the QUESTION; then choose tactics to serve the strategy.
DiagramGroat and Wang's three tiers — a system of inquiry over strategies over tactics

Inquiry, strategy, tactic

Groat & Wang separate three levels. A SYSTEM OF INQUIRY is the worldview/paradigm (postpositivist, constructivist…). A STRATEGY is the overall research DESIGN — the seven below. A TACTIC is a specific technique for collecting or analysing data — an interview, a survey, a simulation run, a statistical test. One strategy can use many tactics, and the same tactic (an interview) can serve different strategies. MISCONCEPTION→correct: 'a method is the whole approach' — pick the strategy to fit the QUESTION, then choose tactics to serve the strategy.[1]

Seven strategies — one per question Interpretive-historicalwhat did it mean? Qualitativehow do people experience it? Correlationalare they related? Experimentaldoes X cause Y? Simulationhow would it behave? Logical argumentationwhat follows from premises? Case study (& combined)what's going on here, & why? Strong architectural research often COMBINES strategies for triangulation. Different questions need different strategies — the question comes first, the method second.
DiagramThe seven research strategies, each fitting a different question
Which fits which question

The seven strategies

From interpretive-historical and qualitative through correlational, experimental, simulation and logical argumentation to the case study — each has its own question, data and rigour.[1, 2]

Meaning and context

QUALITATIVE research asks how and why people experience a setting — interviews, observation, thick description and thematic coding in real settings; its rigour comes from TRIANGULATION, member checking and audit trails (Lincoln & Guba's credibility/transferability/dependability/confirmability). INTERPRETIVE-HISTORICAL research asks what something meant in its context — archives, drawings and artefacts interpreted with internal and external source criticism. MISCONCEPTION→correct: 'qualitative research is just anecdote' — it has its own demanding standards of trustworthiness.[1]

Correlation is not causation ice-cream sales drownings correlation r — but NOT cause summer heat the real (confounding) cause of both A correlation shows association only; causation needs manipulation, temporal order and ruling out confounders.
DiagramCorrelation is not causation — ice-cream sales correlate with drownings, but the hidden cause is summer heat
True vs quasi-experiment TRUE — random assignment group Agroup B shuffled → highest internal validity QUASI — existing groups ward 1ward 2 retrofitcontrol no shuffle → selection-bias risk A true experiment shuffles subjects into conditions; a quasi-experiment compares groups as they are. Real buildings rarely allow randomisation — so the quasi-experiment trades control for realism.
DiagramA true experiment randomly assigns subjects; a quasi-experiment compares pre-existing groups
Interactive

Match a strategy to a question

Pick a strategy and read its core question, typical data, when to use it and a concrete architecture example — then ask which one your own question would call for.

Research strategies · pick one

Qualitative

Core question: How and why do people experience and use this setting?

Data & tactics: Interviews, observation, focus groups, document analysis; thick description and thematic coding in naturalistic settings.

When to use: Exploratory topics, understanding behaviour and meaning, building theory.

Architecture example: Observing and interviewing residents of a slum-rehab block to understand how the new layout reshapes community life and privacy.

The strategy follows the question — and strong research often combines more than one.

Correlational vs experimental

At a glance

AspectCorrelationalExperimental
QuestionCorrelational: are they related?Experimental: does X cause Y?
ManipulationCorrelational: noneExperimental: manipulate the IV
AssignmentTrue experiment: randomQuasi-experiment: pre-existing groups
EstablishesCorrelational: associationExperimental: causation (if controlled)
RealismLab experiment: high controlQuasi/field: high ecological realism
Vocabulary

Key terms

Systems of inquiry / strategy / tactic

Worldview / overall research design / specific technique — Groat & Wang's three tiers.

Qualitative research

Meaning-focused inquiry — interviews, observation, thick description; rigour via triangulation.

Correlational research

Measures the relationship between naturally-occurring variables — association, not cause.

True vs quasi-experiment

Random assignment vs comparison of pre-existing groups.

Simulation research

Studying behaviour through validated physical or digital models.

Case study

In-depth study of a bounded instance; generalises to theory, not a population.

Apply it

Studio task

Take one architectural topic — say, naturally-ventilated classrooms. Write a researchable question that would best suit EACH of three different strategies (qualitative, correlational, simulation), and name the data each would collect. Then explain, in two sentences, why you cannot answer “does the new ventilation design cause better concentration?” with a correlational study alone.

Check your understanding

Self-assessment

1. The difference between a TRUE and a QUASI-experiment is —

2. Which strategy best answers 'how do residents experience this redeveloped block'?

3. A case study generalises mainly to —

In a nutshell

Recap

Groat & Wang's three tiers: systems of inquiry (worldview) → strategies (design) → tactics (technique).
Seven strategies: interpretive-historical, qualitative, correlational, experimental/quasi, simulation, logical, case study.
Pick the strategy to fit the QUESTION; strong research often combines strategies for triangulation.
A true experiment randomly assigns; a quasi-experiment compares existing groups — correlation is not causation.
Qualitative work and case studies have real rigour (triangulation; analytic generalisation), not mere anecdote.
The evidence

References & further reading

  1. [1]Linda Groat & David Wang, Architectural Research Methods (2nd ed., Wiley 2013) — the seven strategies, three tiers, tactics.
  2. [2]Bent Flyvbjerg, 'Five Misunderstandings About Case-Study Research' (Qualitative Inquiry, 2006).
  3. [3]Robert K. Yin, Case Study Research and Applications (Sage) — multiple evidence, analytic generalisation.
  4. [4]John W. Creswell, Research Design — quantitative, qualitative and mixed strategies.

Further reading

  • Linda Groat & David Wang — Architectural Research Methods.
  • Robert K. Yin — Case Study Research and Applications.
  • John W. Creswell — Research Design.

Sources gathered and fact-checked June 2026. Published values vary by source, sample and method — treat as indicative and confirm against the cited standard before structural use.