Lecture note on descriptive research for housing studies dissertation project study

Lecture note on descriptive research for housing studies dissertation project study

 

In the context of study of research types, please clarify four main ideas of descriptive research and offer 4 main how-to advices on research methods practices in the context of Housing Studies dissertation project works.

Descriptive research is appropriate when your Housing Studies dissertation seeks to give an accurate picture of a housing population, condition, service, or experience—for example, residents’ satisfaction with an estate or the extent of overcrowding in subdivided flats. Its central purpose is to establish what is happening, for whom, where, and how frequently, rather than to prove what causes the situation.

Four main ideas

1.    Describe a clearly bounded housing phenomenon
Define the population, location, period, and concepts precisely. For example: “housing satisfaction among households living in public rental housing in Fanling in 2026,” rather than simply “public-housing satisfaction.” Descriptive designs describe individuals, settings, conditions, or events.

2.    Observe rather than manipulate
You record housing circumstances as they naturally exist. You do not assign households to different housing conditions or alter rent, dwelling size, or allocation policies. This makes descriptive research non-experimental and well suited to real-world housing issues.opentext.ku+1

3.    Answer “what/who/where/when/how often,” not causal “why” claims
A survey may show that overcrowding is more commonly reported among larger households, but it cannot by itself demonstrate that household size causes overcrowding. You may report patterns and associations, but causal explanation requires a stronger design and appropriate evidence.

4.    Use systematic measurement and suitable evidence
Descriptive research can be quantitative, qualitative, or mixed-methods. It may use questionnaires, structured observation, interviews, documents, administrative records, or case studies; the key requirement is that data collection follows a planned and consistent procedure.

Four practical methods advices

1.    Align each research objective with a descriptive question and indicator
Turn broad issues into observable items. For example:

Objective	Descriptive question	Possible indicator
Assess dwelling adequacy	What proportion of residents consider their flat too small?	Likert-scale satisfaction score
Profile affordability	What is the distribution of rent burden?	Rent as a percentage of household income
Examine estate facilities	Which facilities are most and least satisfactory?	Satisfaction ratings and open comments
Document overcrowding	How prevalent is overcrowding across household types?	Persons-per-room measure

This prevents a mismatch between objectives, questionnaire items, and analysis.

2.    Specify a defensible sampling plan
State the target population, sampling frame, recruitment route, inclusion criteria, intended sample size, and limitations. If probability sampling is impractical, transparently describe convenience, purposive, quota, or snowball sampling and avoid claiming that your findings represent every Hong Kong resident. For a study comparing groups—for example, younger versus older tenants—ensure each group has enough respondents to make the comparison meaningful.

3.    Build, pilot, and standardise your instrument
Use a structured questionnaire for prevalence, profiles, and satisfaction levels; use an observation checklist for physical conditions; or conduct semi-structured interviews when residents’ accounts and meanings are central. Pilot the questionnaire or interview guide with a small number of eligible participants, then revise unclear, double-barrelled, leading, or overly sensitive questions. Qualitative descriptive work can legitimately combine interviews, focus groups, observations, and documents when these fit the practical question.

4.    Use analysis that stays within your design’s claims
For a questionnaire, begin with frequencies, percentages, means, medians, and cross-tabulations—for instance, compare reported crowding by household size or tenure type. For interviews and open-ended responses, use transparent coding and thematic/content analysis, retaining illustrative quotations. Report missing data, sampling limitations, and the cross-sectional nature of the study; frame findings as “reported patterns” or “associations,” not causal effects.

Dissertation illustration

A feasible descriptive dissertation topic could be: “Housing satisfaction and perceived overcrowding among residents of subdivided flats in a selected Hong Kong district.”

You could administer a cross-sectional survey covering demographics, rent burden, persons per room, dwelling conditions, safety, privacy, and overall satisfaction, supplemented by a small number of interviews. The findings chapter would profile respondents, report the prevalence of key conditions, compare groups, and present resident comments—without claiming that any one factor definitively causes dissatisfaction.