Sunday, 1 November 2026

An exercise to classify research methods as primary or secondary: for Housing Studies

An exercise to classify research methods as primary or secondary: for Housing Studies

 

In the context of Research Methods for Housing Studies, briefly describe each of the following research methods in 2 sentences and then indicate on each of them whether it is a primary research method (using primary data) or a secondary research method (using secondary data):

1.    systematic review

2.    narrative review

3.    critical review

4.    document study

5.    qualitative content analysis

6.    quantitative content analysis

7.    archival research

8.    photovoice

9.    participant observation

10.                    questionnaire

11.                    case study research (Robert Yin's version)

12.                    grounded theory on studying documents

13.                    study or corporate annual reports

14.                    study of newspaper commentary

 

Below, “primary” means the researcher collects or generates new data directly from people, settings, or documents produced for the study; “secondary” means the researcher analyses existing sources that were produced for another purpose. Reviews are generally secondary because they analyse published research, while methods involving direct participant engagement are primary.

Research methods

Method

Brief description

Data type

1. Systematic review

Uses a pre-specified protocol, explicit search strategy, inclusion/exclusion criteria, and quality appraisal to identify and synthesise studies on a focused question. It aims to produce a transparent, reproducible summary of existing evidence.

Secondary

2. Narrative review

Provides a broad, interpretive overview of a topic, selecting and discussing literature according to the reviewer’s expertise and argument. Unlike a systematic review, it does not normally follow a fixed, exhaustive search and appraisal protocol.

Secondary

3. Critical review

Evaluates existing literature not merely to summarise it, but to assess its strengths, weaknesses, assumptions, and conceptual contributions. It often aims to identify gaps, develop a model, or generate a new theoretical proposition.

Secondary

4. Document study

Systematically examines written, visual, or digital documents—such as policies, plans, meeting minutes, or reports—to understand their content, context, and social meaning. In housing studies, it can reveal how housing problems and policy choices are represented.

Secondary

5. Qualitative content analysis

Interprets the meanings, themes, frames, and patterns in textual or visual material, often through coding and contextual interpretation. It is suited to understanding how issues such as housing affordability or displacement are discussed.

Secondary if analysing existing documents; primary if analysing transcripts or materials generated by the researcher from participants.

6. Quantitative content analysis

Counts and statistically analyses predefined categories in texts or media, such as the frequency of terms like “public housing,” “NIMBY,” or “gentrification.” It converts qualitative material into measurable data for comparison over time or across sources.

Secondary if analysing existing documents/media; primary if applied to data collected directly for the study.

7. Archival research

Examines historical records held in archives, such as government files, housing-authority records, maps, correspondence, or planning documents. It reconstructs past housing policies, events, and institutional decisions from surviving records.

Secondary

8. Photovoice

A participatory method in which participants take photographs of their lived environment and explain their significance through discussion or narratives. It gives residents, including marginalised groups, a direct role in documenting housing conditions and advocating change.

Primary

9. Participant observation

The researcher immerses themselves in a housing setting—such as an estate, shelter, community meeting, or protest—and records behaviour, interactions, and context over time. It generates first-hand insight into everyday housing experiences and social practices.

Primary

10. Questionnaire

Uses a structured set of questions to collect standardised information from respondents, often about housing conditions, satisfaction, affordability, mobility, or attitudes. It can be administered face-to-face, by phone, online, or by post.

Primary

11. Case study research (Robert Yin’s version)

An empirical inquiry that investigates a contemporary phenomenon in depth within its real-life context, using multiple sources of evidence and clear boundaries between case and context. Yin emphasises triangulation across interviews, documents, observations, and archival material.

Usually primary, because Yin treats case studies as empirical investigations that collect original evidence; it may also incorporate secondary documents.

12. Grounded theory on studying documents

Applies grounded-theory procedures—open coding, constant comparison, memo-writing, and theoretical sampling—to documents in order to build concepts or theory from the data. The researcher develops categories inductively rather than testing a predetermined framework.

Secondary if the documents already exist; primary if the documents are generated through the research process, such as interview transcripts or field notes.

13. Study of corporate annual reports

Analyses companies’ annual reports to examine their stated strategies, financial performance, governance, risks, and disclosures relevant to housing, property development, or real-estate investment. It can show how firms present their housing-related activities to shareholders and regulators.

Secondary

14. Study of newspaper commentary

Examines editorials, opinion columns, letters, and commentary articles to identify public debates, ideological positions, and framings of housing issues. It is useful for tracing how media discourse shapes or reflects housing politics.

Secondary

Key distinction

Methods such as photovoice, participant observation, questionnaires, and Yin-style case studies normally generate primary data because they involve direct engagement with people or settings. By contrast, systematic, narrative, and critical reviews, archival work, document studies, annual-report studies, and newspaper-commentary studies normally analyse secondary data—materials created independently of the current research project.

A note of ROI as an investment centre financial performance measure: for Advanced Management Accounting students

A note of ROI as an investment centre financial performance measure: for Advanced Management Accounting students

 

In the context of studying return on investment (ROI) as a financial performance measure, the topic of the DuPont Analysis also comes up as relevant. Please explain the DuPont Analysis as a way to further evaluate the ROI financial performance measure of an investment centre.

DuPont Analysis is a decomposition technique that explains why an investment centre’s ROI is high or low by separating it into profitability and asset-use efficiency. For an investment centre, it turns a single ROI figure into two managerial levers: earning more profit per dollar of sales, and generating more sales per dollar of invested assets.

ROI and the DuPont breakdown

For an investment centre, ROI is commonly measured as:

ROI = Operating income / Investment centre assets

DuPont analysis expands this as:

ROI = (Operating income / Sales) × (Sales / Investment centre assets)

That is:

ROI=Profit margin × Asset turnover

The sales terms cancel algebraically, but the decomposition is analytically useful because it reveals the separate drivers of ROI. This two-component version is the usual DuPont framework for ROI or return on assets; the three-component version applies specifically to return on equity by adding financial leverage.

The two ROI drivers

Component

Formula

What it shows

Managerial implication

Profit margin

Operating income ÷ Sales

How much profit is earned from each dollar of revenue

Improve pricing, product mix, cost control, or operating efficiency

Asset turnover

Sales ÷ Investment centre assets

How effectively assets generate sales

Increase sales from existing assets, reduce idle inventory/ receivables, or use capacity better

A high ROI may therefore arise from either a strong margin, rapid asset turnover, or both. Conversely, a weak ROI may reflect poor profitability, inefficient asset use, or a combination of the two.

Simple illustration

Suppose an investment centre reports:

  • Operating income: HK$200,000
  • Sales: HK$2,000,000
  • Investment centre assets: HK$1,000,000

Then:

ROI=200,000 / 1,000,000 = 20%

Using DuPont:

Profit margin = 200,000 / 2,000,000 = 10%

Asset turnover = 2,000,000 / 1,000,000 = 2 times 

 

ROI = 10%×2 = 20%

So the centre earns 10 cents of operating profit per HK$1 of sales and generates HK$2 of sales per HK$1 of assets. This is more informative than simply saying “ROI is 20%.”

Why it matters for investment centres

An investment centre manager is responsible for both revenues/costs and the assets used to generate them. DuPont analysis therefore supports more meaningful performance evaluation because it identifies the source of ROI changes:

  • If ROI falls because profit margin falls, management should examine pricing, discounts, cost overruns, waste, or an unfavourable sales mix.
  • If ROI falls because asset turnover falls, management should examine excess inventory, slow receivables collection, underused plant and equipment, or unnecessary asset investment.
  • If ROI rises, DuPont analysis helps determine whether the improvement is sustainable—for example, a genuine operating improvement rather than merely cutting investment in productive assets.

This makes the measure more diagnostic: it does not merely report performance, but helps explain it and guide corrective action.