A note on the credibility quality improvement in qualitative research: for MBA students

A note on the credibility quality improvement in qualitative research: for MBA students

 

Highlight 5 main ideas of Lincoln and Guba’s trustworthiness framework on how to improve the credibility of qualitative research findings, in the context of doing MBA dissertation projects. It would be useful to provide an example to illustrate the ideas in terms of research theme of "the employees' perceived impacts of top-management members' scandals on their companies' staff morale and corporate atmosphere in Hong Kong".

Lincoln and Guba’s trustworthiness framework helps an MBA dissertation show that its qualitative findings are credible, transparent, and meaningfully grounded in participants’ experiences. The framework comprises four core criteria—credibility, transferability, dependability, and confirmability—with authenticity often treated as a fifth, broader concern about fair and useful representation of participants’ realities.

Five main ideas

Idea	What it means	How to strengthen it in an MBA dissertation
1. Credibility	The findings plausibly represent participants’ actual views and experiences; it is qualitative research’s counterpart to internal validity.	Use prolonged engagement, triangulation of data sources, member checking, and detailed quotations.
2. Transferability	Readers judge whether findings may apply to another setting; the researcher enables this by providing rich contextual description rather than claiming universal generalisation.	Describe the Hong Kong organisational setting, participant roles, company sector, and cultural context in depth.
3. Dependability	The research process is logical, stable, and traceable; another researcher could follow the decisions from data collection to interpretation.	Maintain an audit trail covering recruitment, interview guides, coding changes, analytic decisions, and revisions.
4. Confirmability	Findings are grounded in participants’ data rather than the researcher’s assumptions or preferences.	Link every theme to verbatim extracts, keep a reflexive journal, and invite peer or supervisor review of the coding.
5. Authenticity	The study fairly represents different stakeholders’ perspectives and produces insights that are meaningful and potentially useful to them.	Include frontline staff as well as managers, report dissenting views, and avoid presenting one group’s interpretation as the whole organisational reality.

Applied to your dissertation theme

Suppose your MBA project examines employees’ perceived impacts of top-management scandals on staff morale and corporate atmosphere in Hong Kong. You might conduct semi-structured interviews with employees from several Hong Kong companies that have experienced a publicised leadership scandal.

Credibility

Credibility means your interpretation of “low morale” or “damaged corporate atmosphere” reflects what employees actually experienced, not merely what you expected to find. You could interview employees across departments and levels, compare interview accounts with internal communications or public reporting where ethically available, and return a summary of preliminary themes to participants for confirmation.

Example: If several participants say the scandal made them less willing to defend the company publicly, but your analysis initially labels this only as “reduced loyalty,” member checking may reveal that they mean fear of reputational association and uncertainty about leadership integrity. Revising the theme accordingly improves credibility.

Transferability

Transferability does not mean your findings automatically apply to every Hong Kong company. Instead, you provide enough contextual detail for another MBA reader to decide whether the findings might transfer to, for example, a financial-services firm, a family-owned SME, or a multinational subsidiary.

Example: Explain that participants worked in a highly customer-facing Hong Kong service business, that the scandal received extensive local media coverage, and that staff felt visible to clients and regulators. These details allow readers to assess whether similar morale effects might occur in comparable reputation-sensitive settings.

Dependability

Dependability requires a transparent and consistent research process. Your methodology chapter and appendices should show how participants were selected, how interviews changed over time, how transcripts were coded, and why themes were merged, renamed, or discarded.

Example: Keep an audit trail such as: “Initial code: ‘loss of pride’; after comparing 12 transcripts, renamed ‘diminished organisational identification’ because participants referred to embarrassment, disengagement, and reluctance to recommend the employer.” This makes your analytic route inspectable.

Confirmability

Confirmability asks whether the conclusions can be traced back to the data. Include sufficient anonymised quotations to demonstrate that each theme is supported by several participants, and explain how you managed your own assumptions—for instance, if you entered the study believing scandals always reduce morale.

Example: If some employees report that a transparent crisis response actually strengthened pride in the company, do not omit this evidence. Report it as a contrasting theme, supported by quotations, and explain why it qualifies the dominant finding. A reflexive journal can document why you accepted or challenged that interpretation.

Authenticity

Authenticity encourages you to represent employees’ experiences fairly, including voices that may be less powerful or less easy to hear. In a scandal study, this is particularly important because employees may fear retaliation, reputational harm, or being seen as disloyal.

Example: Rather than interviewing only HR managers, include frontline employees, middle managers, and possibly former employees where appropriate. Present both negative accounts—such as cynicism, anxiety, and reduced trust—and constructive accounts, such as renewed expectations for ethical leadership. This produces a more balanced and useful account of morale and corporate atmosphere.

Practical dissertation wording

You could state in your methodology chapter:

“Trustworthiness was addressed using Lincoln and Guba’s framework. Credibility was supported through triangulation and member checking; transferability through thick description of the participating organisations and Hong Kong context; dependability through an audit trail of recruitment, interviewing, coding, and analytic decisions; confirmability through data-supported themes, verbatim quotations, and reflexive journaling; and authenticity through the inclusion of diverse employee perspectives and attention to dissenting experiences.”

The strongest MBA dissertations do not merely name these five criteria; they show concrete evidence—quotations, coding records, reflexivity notes, contextual descriptions, and participant feedback—that each criterion was actively addressed.

 

Provide 3 academic references on the topic discussed here, in Harvard reference format.

Here are three suitable academic references in Harvard referencing style for a dissertation discussing Lincoln and Guba’s trustworthiness framework.

1.    Lincoln, Y.S. and Guba, E.G. (1985) Naturalistic inquiry. Beverly Hills, CA: Sage Publications.

2.    Shenton, A.K. (2004) ‘Strategies for ensuring trustworthiness in qualitative research projects’, Education for Information, 22(2), pp. 63–75. doi:10.3233/EFI-2004-22201.

3.    Nowell, L.S., Norris, J.M., White, D.E. and Moules, N.J. (2017) ‘Thematic analysis: striving to meet the trustworthiness criteria’, International Journal of Qualitative Methods, 16(1), pp. 1–13. doi:10.1177/1609406917733847.

How to use them

·        Cite Lincoln and Guba (1985) when introducing the original trustworthiness criteria: credibility, transferability, dependability and confirmability.

·        Cite Shenton (2004) when explaining practical strategies such as member checking, triangulation, audit trails, thick description and peer debriefing.

·        Cite Nowell et al. (2017) when linking trustworthiness to your thematic analysis of employee interviews on top-management scandals, staff morale and corporate atmosphere.

For example, in your methodology chapter you could write:

Trustworthiness was addressed through the criteria proposed by Lincoln and Guba (1985), with practical strategies including triangulation, member checking, thick description and an audit trail (Shenton, 2004). These procedures were integrated into the thematic-analysis process to support credible and confirmable interpretations of employees’ experiences (Nowell et al., 2017).

A note on the credibility quality improvement in qualitative research: for housing studies students

A note on the credibility quality improvement in qualitative research: for housing studies students

 

Highlight 5 main ideas of Lincoln and Guba’s trustworthiness framework on how to improve the credibility of qualitative research findings, in the context of doing housing studies dissertation projects. It would be useful to provide an example to illustrate the ideas in terms of research theme of "the preferences of housing needs of the married middle-class generation y citizens in Wanchai, Hong Kong".

Lincoln and Guba’s framework helps a qualitative housing dissertation show that its findings are credible, contextual, traceable, and grounded in participants’ accounts. Their core criteria are credibility, transferability, dependability, and confirmability; some later accounts also add authenticity as a fifth dimension.

Study example

Theme: The preferences and housing needs of married middle-class Generation Y residents in Wan Chai, Hong Kong.

Imagine you conduct semi-structured interviews with 20 married Gen Y residents who live in Wan Chai or are considering moving there. You explore their priorities around flat size, proximity to work, schools, transport, green space, affordability, and neighbourhood identity. The framework below can be presented in your methodology chapter as a quality-assurance plan.

1. Credibility: represent participants accurately

Credibility means the findings plausibly reflect the participants’ actual views rather than a superficial or distorted interpretation. It is the qualitative equivalent of internal validity.

How to improve it in your dissertation:

• Use prolonged engagement: interview participants more than once where feasible, or spend time observing the Wan Chai housing context.
• Apply triangulation: compare interview findings with policy documents, property-market reports, census data, and neighbourhood observations.
• Conduct member checking: send each participant a short summary of your interpretation and ask whether it matches their meaning.
• Use negative-case analysis: deliberately examine residents who do not fit the dominant pattern—for example, married Gen Y residents who prefer a smaller flat in Wan Chai over a larger flat elsewhere.

Example: If most participants say that “walkability to Central” outweighs extra living space, but two say school access matters more because they have young children, do not hide the exception. Report it as a meaningful variation: proximity is dominant for childless couples, whereas school catchment may reshape preferences for families with young children. Member checking can confirm whether your wording captures this distinction.

2. Transferability: describe the context richly

Transferability does not claim that results automatically generalise everywhere. Instead, it gives readers enough contextual detail to judge whether the findings could apply to another setting or population.

How to improve it in your dissertation:

• Provide a thick description of Wan Chai: housing stock, household incomes, commuting patterns, density, school provision, redevelopment pressures, and local amenities.
• Clearly define the sample: married, middle-class, Generation Y residents; their tenure status; household composition; and length of residence.
• State the boundaries of the claim: findings concern Wan Chai, not necessarily all Hong Kong districts or all middle-class young adults.

Example: A finding such as “married Gen Y residents value compact, well-located flats because long commutes reduce family time” should be accompanied by details on Wan Chai’s transport accessibility, housing prices, and participants’ work locations. A reader can then assess whether the same preference might transfer to, say, North Point or Kowloon Tong—but should not assume it does.

3. Dependability: make the process traceable

Dependability concerns the stability, coherence, and transparency of the research process. In qualitative work, this is demonstrated less by repeating a survey and more by documenting decisions so another researcher could follow the route from data to conclusions.

How to improve it in your dissertation:

• Keep an audit trail covering recruitment, interview guides, consent procedures, transcripts, coding schemes, analytic memos, and changes to the research design.
• Explain how the interview guide evolved after pilot interviews.
• Record coding decisions, including why a theme was merged, renamed, or discarded.
• If possible, have a supervisor or peer review a sample of transcripts and coded extracts.

Example: Suppose early interviews suggest “affordability” is the main concern, but later interviews reveal that participants mean not only rent or mortgage payments, but also renovation costs, management fees, and expected family expenses. Your audit trail should show when this broader meaning emerged, which transcript extracts support it, and how the coding framework changed. This makes the evolving interpretation transparent rather than arbitrary.

4. Confirmability: ground claims in evidence

Confirmability asks whether the findings are derived from participants’ data rather than the researcher’s assumptions, values, or preferred narrative. It is the qualitative counterpart of objectivity.

How to improve it in your dissertation:

• Maintain a reflexive journal recording your background, assumptions about housing, and reactions during fieldwork.
• Link every major theme to direct quotations or clearly labelled data extracts.
• Use peer debriefing: discuss emerging interpretations with a supervisor or fellow researcher.
• Distinguish participants’ words from your analytical interpretation.

Example: If you personally believe that married Gen Y residents should prioritise buying property, you must not let that belief shape the analysis. If participants instead emphasise rental flexibility because they expect job mobility, present that view with quotations such as a participant explaining that renting lets them remain close to Wan Chai without committing to a long mortgage. A reflexive journal and data-linked coding can show that the conclusion came from the interviews, not the researcher’s preference.

5. Authenticity: represent voices fairly

In the wider Lincoln and Guba tradition, authenticity addresses whether the research fairly represents participants’ experiences and perspectives, rather than reducing them to a single researcher-driven storyline. It complements the four core trustworthiness criteria.

How to improve it in your dissertation:

• Include diverse voices within the sample: couples with and without children, owners and renters, long-term Wan Chai residents and recent movers.
• Report disagreements and tensions, not only consensus.
• Avoid portraying “middle-class Gen Y” as a uniform group with one housing preference.
• Give participants an opportunity to review how their experiences are represented.

Example: Rather than concluding that “married Gen Y residents in Wan Chai prefer small flats,” present a more faithful account: some prioritise location and lifestyle, others prioritise space for children or home working, and others feel constrained by affordability. Presenting these differences respectfully makes the dissertation more authentic and analytically useful.

Practical dissertation table

Criterion	Main question		Practical action		Wan Chai housing example
Criterion		Main question		Practical action		Wan Chai housing example
Credibility		Do findings reflect participants’ views?		Member checking, triangulation, prolonged engagement		Verify whether “walkability” means access to work, leisure, or both
Transferability		Can readers judge relevance to other contexts?		Thick description of setting and sample		Describe Wan Chai’s density, transport, housing costs, and resident profile
Dependability		Is the research process logical and traceable?		Audit trail, documented coding, peer review		Show how “affordability” was redefined during analysis
Confirmability		Are findings grounded in data, not researcher bias?		Reflexive journal, quotations, peer debriefing		Support the rental-flexibility theme with participant extracts
Authenticity		Are participants’ experiences fairly represented?		Include diverse cases and report tensions		Distinguish childless couples from families with young children

Together, these five ideas would strengthen a dissertation by showing that its account of married middle-class Gen Y housing preferences in Wan Chai is faithful to participants, contextually explained, methodologically transparent, evidence-based, and attentive to differences within the group.

Provide 3 academic references on the topic discussed here, in Harvard reference format.

Here are three suitable academic references in Harvard format for your dissertation’s discussion of Lincoln and Guba’s trustworthiness framework.

1.    Lincoln, Y.S. and Guba, E.G. (1985) Naturalistic inquiry. Beverly Hills, CA: Sage Publications.

2.    Shenton, A.K. (2004) ‘Strategies for ensuring trustworthiness in qualitative research projects’, Education for Information, 22(2), pp. 63–75. doi:10.3233/EFI-2004-22201.

3.    Nowell, L.S., Norris, J.M., White, D.E. and Moules, N.J. (2017) ‘Thematic analysis: striving to meet the trustworthiness criteria’, International Journal of Qualitative Methods, 16(1), pp. 1–13. doi:10.1177/1609406917733847.

How to use them

·        Lincoln and Guba (1985) is the foundational source for credibility, transferability, dependability, and confirmability.

·        Shenton (2004) provides practical strategies for applying those criteria, including member checking, thick description, audit trails, and reflexive practice.

·        Nowell et al. (2017) is especially useful if your dissertation uses thematic analysis to examine housing preferences, because it links the trustworthiness criteria directly to coding, theme development, and interpretation.

For an in-text reference, you could write: “Trustworthiness was addressed through credibility, transferability, dependability, and confirmability (Lincoln and Guba, 1985; Shenton, 2004), with thematic-analysis procedures informed by Nowell et al. (2017).”

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.