A note on the integration in mixed methods research: for housing studies students

A note on the integration in mixed methods research: for housing studies students

 

Regarding the topic of integration in mixed methods research, please provide 2 examples of how to analyse on the following two situations: (1) convergence of research methods findings and (2) divergence of research methods findings. Try to illustrate your ideas with reference to a housing studies dissertation on the research theme of "the housing need preference of middle-class generation y in Hong Kong".

 

In a mixed-methods dissertation, integration means deliberately comparing the survey and interview findings to produce an interpretation that neither strand could provide alone. For your Hong Kong housing dissertation, use a joint display (a side-by-side table or matrix) to label each result as convergence, complementarity/expansion, or divergence, then explain the reason for the fit.

Research setting

Suppose your dissertation uses:

·        Quantitative strand: an online survey of middle-class Generation Y residents in Hong Kong, measuring preferred dwelling types, location, size, affordability, and importance ratings.

·        Qualitative strand: semi-structured interviews exploring how respondents interpret “home,” family obligations, career mobility, and trade-offs between space, accessibility, and price.

A joint display places the statistical result, qualitative theme, illustrative interview evidence, integration label, and integrated interpretation in one table. This makes the comparison systematic rather than merely narrative.

Example 1: Convergence

Situation: Both methods point in the same direction.

Suppose the survey finds that 78% of middle-class Generation Y respondents rate “access to MTR/public transport” as “very important,” while regression analysis shows that perceived commute time has a significant negative association with housing-preference satisfaction. Interviews likewise reveal that respondents see proximity to transport as a precondition for maintaining work flexibility, family time, and access to urban amenities.

Dimension	Quantitative finding	Qualitative theme	Illustrative interview evidence	Integration	Integrated interpretation
Transport accessibility	78% rate MTR/public-transport access as “very important”; longer perceived commute time significantly reduces preference satisfaction	“Time is housing”: accessibility is treated as part of housing quality	“If I live in the New Territories but spend three hours travelling each day, the flat may be bigger, but I lose my life.” (P12)	Convergence	For middle-class Generation Y, housing preference is not only about the dwelling itself; commute time is a core component of liveability and perceived housing adequacy.

How to analyse it

1.    Identify the shared construct: transport accessibility and commute burden.

2.    Compare the patterns: the survey establishes the prevalence and statistical association; interviews explain the meaning and mechanisms behind it.

3.    Make the meta-inference: accessibility is not a secondary amenity but a central criterion in housing preference.

4.    State the contribution: the qualitative data add explanatory depth—for example, that long commutes are perceived as reducing family time, wellbeing, and career flexibility.

This is convergence because the two strands reinforce the same interpretation; it strengthens confidence that transport access is a substantive driver of housing preference.

Example 2: Divergence

Situation: The methods appear to conflict.

Suppose the survey finds that “larger living space” is the highest-ranked housing attribute, with 82% selecting a three-bedroom flat or larger as their ideal home. However, interviews show that many participants actually prefer a smaller, well-located flat because they anticipate frequent overseas work, value proximity to Central, and regard a large flat as financially constraining.

Dimension	Quantitative finding	Qualitative theme	Illustrative interview evidence	Integration	Integrated interpretation
Space versus location	82% state that a larger flat is their ideal; “living space” receives the highest mean importance score	“Right-sized” housing: space is valued conditionally, not absolutely	“I want more space in theory, but if it means a 90-minute commute or a 30-year mortgage, I would choose a smaller flat near work.” (P07)	Divergence	Respondents express an ideal preference for space, but their practical housing preference is shaped by affordability, commute, career mobility, and lifestyle trade-offs.

How to analyse it

1.    Do not treat the discrepancy as an error immediately. First check whether the survey question measured an ideal preference, while the interviews captured practical decision-making under constraints.

2.    Examine measurement effects. Closed survey items may force respondents to choose “larger space” without allowing them to express conditional priorities; qualitative accounts can expose this limitation.

3.    Look for subgroup patterns. For instance, divergence may be stronger among respondents with young children, those working in Central, or those with higher household income.

4.    Develop an integrated interpretation. The apparent contradiction may reveal that “space” is an aspirational preference, whereas “location, affordability, and flexibility” are decision constraints.

5.    Revise the framework. You could argue that middle-class Generation Y housing preference is best understood as a trade-off model, in which space is desired but traded against commute time, mortgage burden, and urban amenity access.

This is divergence because the strands yield conflicting interpretations; rather than invalidating the study, it can generate a more nuanced explanation of how ideal preferences differ from constrained choices.

Suggested dissertation wording

For convergence:

“The quantitative and qualitative findings converge in showing that transport accessibility is a central determinant of housing preference among middle-class Generation Y respondents in Hong Kong. While the survey demonstrates the prevalence and statistical significance of commute-related preferences, the interviews explain that accessibility is valued because it protects time for work, family, and urban participation.”

For divergence:

“Although the survey indicates a strong stated preference for larger dwellings, the interview findings diverge by showing that participants often prioritise location, affordability, and flexibility in actual housing decisions. This divergence suggests that living space functions as an aspirational ideal, whereas practical preferences are negotiated through financial and mobility constraints.”

Practical rule

Use convergence to confirm and strengthen an interpretation; use divergence to interrogate assumptions, refine survey measures, identify contextual conditions, and develop a richer theory of housing preference. In both cases, the analysis should move beyond “the results agree/disagree” to explain why they agree or disagree and what the integrated result means for housing policy or theory.