Mixed Methods, Case Study and Action Research

Introduction

Human resource management (HRM) problems are often too complex to be understood through a single form of evidence. Employee engagement may be measured through a survey, explained through interviews, observed in meetings, and changed through a participatory intervention. A dissertation that combines these forms of inquiry can produce findings that are both analytically credible and practically useful.

This chapter examines three closely related approaches: mixed-methods research, organisational case study, and participatory action research. Mixed methods integrates quantitative and qualitative evidence within one study. Case study research investigates a contemporary phenomenon in its real organisational context. Action research links systematic inquiry with planned change and reflection. These approaches may be used separately, but they are particularly powerful when combined carefully.

The central methodological challenge is not simply collecting more data. It is designing a coherent logic that connects research questions, philosophical assumptions, sampling, data collection, analysis, integration, ethics, and organisational action.

Learning Objectives

By the end of this chapter, students should be able to:

1. Explain the purposes, assumptions, and designs of mixed-methods research.
2. Distinguish case study research from the use of a case as merely an illustrative example.
3. Design an organisational case study using multiple sources of evidence.
4. Explain the principles and cycles of participatory action research.
5. Select appropriate strategies for integrating quantitative and qualitative findings.
6. Evaluate quality, validity, credibility, ethics, and practical value in integrated studies.
7. Develop a feasible mixed-method, case-based, or action-research dissertation proposal.

1. The Logic of Methodological Integration

A research method is a set of procedures for producing and analysing evidence. A methodology is the broader logic that explains why particular methods are appropriate for a research problem. A questionnaire, interview, observation schedule, or document analysis is a method; mixed methods, case study, and action research are methodological approaches or designs.

Integration is justified when different forms of evidence answer different but connected questions. For example:

• A survey may determine whether perceived supervisor support is associated with intention to stay.
• Interviews may explain how employees interpret supervisor support.
• Observation may reveal how supervisory behaviour occurs in practice.
• An action cycle may test whether a supervisor-development intervention changes those conditions.

The purpose is complementarity rather than methodological accumulation. Collecting several datasets without connecting them produces parallel studies, not an integrated study.

A useful design principle is:

Begin with the research problem, identify the evidence needed to answer it, and then select the design that connects the evidence most convincingly.

2. Mixed-Methods Research

2.1 Definition and purposes

Mixed-methods research intentionally collects, analyses, and integrates quantitative and qualitative data within a single programme of inquiry. Quantitative data are usually structured and numerical; qualitative data are usually textual, visual, observational, or conversational. The distinction is not that one is objective and the other subjective. Both require disciplined design, transparent analysis, and critical interpretation.

Mixed methods is commonly used for five purposes:

1. Triangulation: comparing different forms of evidence to assess convergence.
2. Complementarity: using one dataset to elaborate or clarify another.
3. Development: using findings from one phase to design the next phase.
4. Initiation: exploring contradictions or unexpected findings.
5. Expansion: examining different dimensions of a broad research problem.

For instance, a low engagement score and positive interview accounts may appear inconsistent. Rather than discarding one result, the researcher investigates whether the survey measured a different aspect of work experience, whether certain employee groups differ, or whether organisational rhetoric differs from daily practice.

2.2 Philosophical foundations

Mixed-methods researchers may work from pragmatism, critical realism, transformative perspectives, or other philosophical positions. Pragmatism focuses on the research question and the consequences of using particular forms of evidence. Critical realism distinguishes observable events from deeper mechanisms and contextual conditions. A transformative approach places explicit emphasis on inequality, voice, and social change.

There is no requirement that all mixed-methods studies adopt one philosophical label. However, the researcher must explain how assumptions about reality, knowledge, values, and evidence support the design. A weak proposal simply states that “both methods will be used.” A strong proposal explains why the combination is necessary and how the forms of evidence will be related.

2.3 Major mixed-methods designs

#### Sequential explanatory design

Quantitative data are collected and analysed first, followed by qualitative data intended to explain or elaborate the quantitative results. A study might survey 300 employees, identify departments with unusually high turnover intentions, and interview employees and managers in those departments.

Notation commonly used in methodological writing is QUAN → qual, where capital letters indicate priority and the arrow indicates sequence. The notation is descriptive rather than a statistical formula.

This design is useful when patterns require explanation. Its main risk is treating interviews merely as quotations appended to statistical findings.

#### Sequential exploratory design

Qualitative inquiry comes first, followed by quantitative measurement. Interviews may identify locally meaningful dimensions of psychological safety, which are then used to develop a questionnaire for a larger sample. This is valuable where existing instruments do not fit the context.

It may be represented as QUAL → quan. The qualitative phase must be sufficiently systematic to support item development, and the resulting instrument requires appropriate pilot testing.

#### Convergent design

Quantitative and qualitative data are collected during a broadly similar period, analysed separately, and then compared or integrated. This is appropriate when the researcher wants parallel perspectives on the same issue, such as employee survey responses and focus-group accounts collected during a restructuring programme.

The design may be represented as QUAN + QUAL. Equal priority is not compulsory; the researcher should specify whether one strand is dominant or whether both have comparable importance.

#### Embedded design

One method is nested within a larger design. For example, a primarily quantitative evaluation of a training programme may include interviews with a small purposive sample to understand implementation experiences. Alternatively, a qualitative case study may embed a short employee survey.

#### Multiphase design

Several connected quantitative and qualitative phases address a broad programme of inquiry. This may be appropriate for a dissertation linked to an organisational development project, although undergraduate researchers must control scope carefully.

2.4 Priority, sequence, and points of integration

Every mixed-methods proposal should state:

• which strand has priority, if any;
• whether data collection is sequential or concurrent;
• where integration occurs;
• how contradictions will be investigated; and
• what inference will be made from the combined evidence.

Integration can occur at several points:

1. Design integration: one phase determines the sample, instrument, or questions of another.
2. Methods integration: quantitative and qualitative data are collected in a connected manner.
3. Analysis integration: datasets are transformed, compared, or displayed together.
4. Interpretation integration: conclusions are based on the combined evidence.

A joint display is a useful practical device. It places a quantitative result beside relevant qualitative themes, illustrative evidence, and an integrated interpretation.

3. Sampling and Data Collection in Mixed Methods

Sampling should reflect the logic of integration. Probability sampling is useful when the researcher seeks estimates or comparisons that can be generalised cautiously to a defined population. Purposive sampling is useful when participants are selected for experience, role, case relevance, or information richness.

Common mixed-methods sampling strategies include:

• Connecting: selecting interview participants from survey respondents who consented to follow-up.
• Building: using qualitative findings to construct a later quantitative sample or instrument.
• Merging: drawing separate samples for each strand and comparing their characteristics.
• Multilevel: sampling employees, supervisors, and organisational leaders at different levels.

Sample size should be justified by the purpose and feasibility of each strand. A small undergraduate project should not claim to conduct a representative organisational survey if access permits only one department. Similarly, a handful of interviews cannot support sweeping claims about the entire workforce.

Data collection instruments should be aligned with research questions. Survey items require clear constructs, appropriate response scales, and pilot testing. Interviews require a guide that balances consistency with opportunities for participants to explain experience. Documents, digital records, observations, and HR metrics can provide contextual evidence, but access, accuracy, and data-protection requirements must be assessed.

4. Analysing and Integrating Evidence

Quantitative analysis may include descriptive statistics, group comparisons, correlations, or regression, depending on the research question and sample. Qualitative analysis may involve familiarisation, coding, category development, thematic interpretation, and attention to deviant or negative cases. The method must not exceed the data: a small convenience sample cannot support complex causal modelling merely because software makes it possible.

Integration should address four possible outcomes:

• Convergence: findings point in a similar direction.
• Complementarity: findings address different aspects of the same issue.
• Expansion: one strand broadens the scope of the other.
• Dissonance: findings conflict and require explanation.

Contradiction is not automatically a failure. It may reveal subgroup differences, different time periods, measurement limitations, power relations, or a gap between formal policy and lived experience. The researcher should report contradictions transparently rather than forcing artificial agreement.

A useful conclusion is an integrated inference: a reasoned claim supported by the relationship among the strands. For example, “Survey results indicate moderate overall trust, while interviews show that trust varies sharply by line manager; therefore, aggregate trust scores conceal important local differences.”

5. Organisational Case Study Research

5.1 Meaning and boundaries

A case study is an in-depth investigation of a bounded contemporary phenomenon in its real-life context, especially when the boundaries between phenomenon and context are not clearly separable. The case might be a company, department, HR programme, merger, employee-relations dispute, or remote-working transition.

A case is not simply any organisation chosen for convenience. The researcher must define its boundaries: location, period, organisational unit, programme, participants, and relevant processes. A study of “leadership in business” is too broad; a study of “the implementation of hybrid-work policy in the customer-support division of Organisation X during 2024” is more bounded.

Case studies may be:

• Single-case: one case examined intensively.
• Multiple-case: several cases examined using a common analytical framework.
• Holistic: the case is treated as one unit.
• Embedded: subunits such as teams, sites, or occupational groups are examined within the case.
• Intrinsic: the case is studied because it is inherently important.
• Instrumental: the case helps illuminate a wider issue.

5.2 Sources of evidence

A robust case study typically uses multiple sources, such as interviews, observations, policy documents, meeting records, HR reports, employee communications, and survey data. Each source has strengths and limitations. Interviews reveal meanings and interpretations but may be affected by recall and social desirability. Documents show formal commitments but may not describe actual practice. Administrative records may be extensive but can contain missing data or inconsistent definitions.

Case study quality is strengthened through a case-study protocol, a database of evidence, a chain of evidence, and explicit procedures for recording decisions. Pattern matching, explanation building, process tracing, and comparison of rival explanations may support analysis.

5.3 Generalisation from cases

Case study research usually aims for analytical rather than statistical generalisation. The researcher connects findings to concepts, mechanisms, or propositions rather than claiming that the observed percentage applies to every organisation. A well-chosen case can challenge an assumption, illuminate a process, or identify conditions under which a practice succeeds.

6. Participatory Action Research

6.1 Purpose and principles

Action research combines systematic inquiry with action to address a practical problem. Participatory action research (PAR) gives affected participants an active role in defining the problem, producing knowledge, interpreting findings, and deciding action. It is especially relevant to HRM because workplace problems involve power, voice, identity, and competing interests.

A typical cycle is:

1. Diagnosing or planning: define the issue and desired change.
2. Acting: implement a small, feasible intervention.
3. Observing: collect evidence about implementation and effects.
4. Reflecting: interpret results with participants and revise the next cycle.

The cycle is iterative rather than strictly linear. Reflection may redefine the problem, and action may generate new questions.

6.2 Participation and power

Participation has degrees. Employees may be consulted, collaborate in decisions, co-research the issue, or exercise substantial control over the project. Researchers should not describe a study as participatory if employees merely provide data while managers and researchers make all decisions.

PAR also requires attention to power. Employees may feel unable to criticise supervisors, temporary workers may fear consequences, and representatives may not speak for all groups. Confidential spaces, independent facilitation, voluntary participation, and clear communication about the limits of confidentiality are essential.

6.3 Action-research evidence

Evidence may include reflective journals, meeting records, interviews, observations, surveys, operational indicators, and participant-generated materials. The researcher should distinguish between evidence of implementation, evidence of immediate outcomes, and evidence of sustainable change. A positive reaction to an intervention is not proof that organisational performance improved.

Action research is judged partly by practical improvement and partly by the quality of learning generated. It should document what was tried, what changed, whose interests were served, what failed, and how decisions were revised.

7. Combining Case Study, Mixed Methods and Action Research

These approaches can form a coherent integrated design. Consider a case study of a hospital department seeking to reduce early-career nurse turnover:

• A survey measures job demands, support, burnout, and intention to leave.
• Interviews explore how workload and supervision are experienced.
• Rostering and absence records provide contextual evidence.
• A participatory group designs a revised mentoring process.
• A second survey and follow-up interviews examine implementation and perceived effects.

The case study supplies contextual depth, mixed methods connects different forms of evidence, and action research links inquiry to organisational change. Their combination is demanding, so the dissertation should limit the number of constructs, participants, and action cycles.

A coherent research matrix can prevent drift:

8. Quality, Trustworthiness and Validity

Quality in integrated research is multidimensional.

• Quantitative validity: appropriate measurement, sampling, analysis, and cautious interpretation.
• Qualitative credibility: prolonged engagement where feasible, reflexivity, transparent coding, participant clarification, and attention to disconfirming evidence.
• Case-study rigour: clear boundaries, multiple sources, a chain of evidence, and rival explanations.
• Action-research quality: meaningful participation, documented cycles, practical relevance, and critical reflection.
• Mixed-methods quality: explicit rationale, adequate quality in each strand, effective integration, and conclusions supported by the combined evidence.

Triangulation should not be reduced to counting how many sources agree. Source, method, investigator, and theoretical triangulation may reveal both convergence and divergence. The researcher must explain what each source can legitimately establish.

Reflexivity is central. The researcher should consider their role, institutional position, relationship with participants, assumptions, and influence on access or interpretation. In action research, the researcher is part of the change process, so reflexive documentation is particularly important.

9. Ethics, Governance and Data Protection

Organisational research involves ethical risks beyond ordinary participant consent. Employees may believe participation is expected, fear identification, or worry that criticism will affect promotion. Consent must be informed, voluntary, and capable of withdrawal without penalty.

Researchers should address:

• separation of research data from managerial performance records;
• secure storage and controlled access;
• anonymisation or careful pseudonymisation;
• risks of deductive identification in small teams;
• use of quotations that may reveal individuals;
• lawful and transparent processing of personal data;
• disclosure of conflicts of interest;
• safeguarding where bullying, discrimination, or harm is reported;
• fair representation of participant perspectives.

Organisational sponsors may request identifiable results. The researcher should agree in advance what can be reported and should not promise absolute anonymity where it cannot be guaranteed. Ethical approval and institutional data-governance procedures must be followed.

10. Technology and AI in Integrated Research

Digital HR systems can support mixed-methods research by linking survey responses, absence records, performance indicators, collaboration data, and interview evidence. However, data availability does not establish validity. Digital traces may exclude informal work, reproduce managerial categories, or create privacy risks.

AI tools may assist with transcription, preliminary text organisation, translation, or identification of recurring terms. They should not replace researcher judgement in interpretation, consent decisions, coding validation, or ethical risk assessment. Sensitive organisational data should not be uploaded to an unapproved system. Researchers must check automated transcripts and coding for omissions, bias, confidentiality breaches, and loss of context.

11. Illustrative Case: The Flexible-Work Transition at Northbridge Services

This is a fictional illustrative case designed for educational use.

Background

Northbridge Services, a 420-employee business-process organisation, introduced hybrid working after a period of rapid growth. Six months later, senior managers observed inconsistent team performance and increased concern about belonging among new employees. A staff survey reported generally favourable views of flexibility, but first-year employees reported lower confidence in accessing support.

Problem and research design

The dissertation team defined the bounded case as the transition to hybrid work in three customer-support teams over nine months. The primary question was: “How does hybrid-working implementation influence new employees’ access to support and sense of belonging?”

The researchers used a sequential explanatory mixed-method case design with an embedded action-research cycle. First, an anonymous survey measured perceived supervisor accessibility, belonging, work coordination, and intention to remain. Second, interviews were conducted with new employees, experienced employees, supervisors, and HR staff. Third, team meetings and communication protocols were observed. Finally, a participatory group designed and tested a structured weekly support routine.

Analysis

Survey results showed that average flexibility satisfaction was high, but new employees reported lower supervisor accessibility than experienced employees. Interviews suggested that the formal policy was identical across teams, while informal practices differed. In one team, supervisors used scheduled check-ins and shared problem-solving channels. In another, employees were expected to ask for help spontaneously, which disadvantaged those unfamiliar with the organisation.

The apparent contradiction between positive flexibility ratings and lower belonging was resolved through integration: employees valued location flexibility but experienced inconsistent relational support. HR policy explained the formal entitlement; interviews and observations explained how local management shaped the experience.

Action and outcome

The participatory group developed a six-week pilot involving a weekly team clinic, a designated buddy, and explicit escalation routes for new employees. The follow-up evidence indicated improved clarity about where to seek help and stronger reported access to supervisors. However, workload pressures reduced attendance at some clinics, and the intervention was less effective in one team where supervisors did not protect the scheduled time.

The study did not claim that the pilot caused a permanent reduction in turnover because the observation period was short and no controlled comparison was available. Instead, it concluded that hybrid-work benefits depended on deliberately designed support routines and local implementation conditions.

Learning points

1. Aggregate survey results can conceal important subgroup and team differences.
2. A case boundary makes a complex organisational problem researchable.
3. Interviews and observations can explain mechanisms behind numerical patterns.
4. Participation improves practical fit but does not remove power differences.
5. A credible conclusion must match the strength and duration of the evidence.

12. Designing a Dissertation Proposal

A strong proposal should include:

1. A bounded and significant HRM problem.
2. Research questions that require the selected forms of evidence.
3. A justified philosophical and methodological position.
4. A diagram or narrative showing sequence, priority, and integration.
5. A feasible sampling and access plan.
6. Data-collection instruments or protocols.
7. Separate and integrated analysis procedures.
8. Ethical, data-protection, and risk-management arrangements.
9. A plan for documenting decisions and reflexivity.
10. A realistic timetable and exit strategy.

Students should negotiate access without allowing the organisation to control the findings. They should also agree how feedback will be provided. A short management report may be useful, but it should not replace the academically transparent dissertation.

Challenges and Limitations

Integrated research requires more time, skills, and coordination than a single-method study. Different datasets may use incompatible definitions, participants may withdraw between phases, and organisational access may change. Quantitative and qualitative results may conflict. Action research may be disrupted by leadership changes or competing priorities. Researcher involvement may influence behaviour, while organisational sponsors may favour positive conclusions.

These limitations can be managed through a narrow scope, a clear integration plan, pilot work, secure data procedures, reflexive records, transparent reporting, and claims proportionate to the evidence. No design eliminates uncertainty. The purpose is to make uncertainty visible and reasoned.

Chapter Summary

Mixed-methods research intentionally integrates quantitative and qualitative evidence to produce more complete and useful inferences. Its principal designs include sequential explanatory, sequential exploratory, convergent, embedded, and multiphase designs. Successful integration requires explicit attention to priority, sequence, sampling, analysis, and the interpretation of convergence and contradiction.

Organisational case study research investigates a bounded contemporary phenomenon in context. Its strength lies in contextual depth, multiple sources of evidence, and analytical explanation rather than automatic statistical generalisation. Participatory action research links inquiry with planned change through cycles of planning, action, observation, and reflection. It is particularly suitable for HRM problems involving employee voice and organisational development, but it demands careful attention to power and ethics.

Combining these approaches can produce robust and practically relevant dissertations. The researcher must nevertheless maintain clear boundaries, protect participants, use technology responsibly, and ensure that conclusions do not exceed the evidence. Triangulation is most valuable when it explains complexity rather than merely accumulating agreement.

Key Terms

Mixed methods: Research that intentionally combines and integrates quantitative and qualitative approaches.

Integration: The process of connecting datasets, analyses, or interpretations to produce combined inferences.

Sequential explanatory design: A design in which quantitative inquiry precedes qualitative explanation.

Sequential exploratory design: A design in which qualitative inquiry precedes quantitative development or testing.

Convergent design: A design in which quantitative and qualitative strands are conducted in parallel and compared.

Embedded design: A design in which one method is nested within a larger methodological design.

Triangulation: The use of multiple perspectives, sources, methods, or theories to examine a phenomenon.

Joint display: A table or visual arrangement that brings different forms of evidence together for interpretation.

Case study: An intensive investigation of a bounded phenomenon in its real-world context.

Single-case study: An in-depth study of one bounded case.

Multiple-case study: A comparative investigation of two or more cases.

Embedded case: A case containing analytically relevant subunits.

Analytical generalisation: Connecting case findings to concepts, mechanisms, or theoretical propositions.

Action research: Systematic inquiry linked to practical action and change.

Participatory action research: Action research in which affected participants share meaningful roles in inquiry and decision-making.

Reflexivity: Critical examination of the researcher’s position, assumptions, relationships, and influence.

Credibility: The plausibility and trustworthiness of qualitative interpretations.

Research protocol: A structured plan for collecting, organising, and analysing case-study evidence.

Integrated inference: A conclusion developed from the relationship among quantitative and qualitative findings.

Review Questions

Short Answer Questions

1. What is the principal purpose of integrating quantitative and qualitative evidence?
2. Distinguish a case study from a convenient organisational example.
3. Name the four broad stages of an action-research cycle.
4. What is a joint display, and how can it support integration?
5. Why is analytical generalisation different from statistical generalisation?

Long Answer Questions

1. Compare sequential explanatory, sequential exploratory, and convergent mixed-methods designs. Give an HRM example for each.
2. Explain how a researcher can establish quality in an organisational case study using multiple sources of evidence.
3. Discuss the role of participation and power in participatory action research.
4. Explain how contradictory findings may strengthen, rather than weaken, an integrated study.
5. Develop a methodological plan for investigating employee turnover using case study and mixed methods.

Analytical / Application Questions

1. A survey reports high engagement, but interviews reveal widespread exhaustion among part-time workers. Design an integration strategy to investigate the apparent contradiction.
2. An organisation asks a researcher to identify employees who made negative comments in interviews. Analyse the ethical and governance issues and propose a response.
3. Design one action-research cycle for improving inclusion in a university department. Specify participants, evidence, action, reflection, and criteria for judging the next cycle.

Multiple Choice Questions with Answers

Question 1

Which mixed-methods design collects quantitative data first and then uses qualitative data to explain the results?

A. Sequential explanatory

B. Sequential exploratory

C. Convergent

D. Embedded qualitative

Correct Answer: A. Sequential explanatory

Question 2

What is the main purpose of a joint display?

A. To replace data analysis with a summary chart

B. To place different forms of evidence together for integrated interpretation

C. To calculate a probability sample

D. To guarantee statistical generalisation

Correct Answer: B. To place different forms of evidence together for integrated interpretation

Question 3

Which feature most clearly defines an organisational case study?

A. Use of only qualitative interviews

B. Study of a bounded phenomenon in its real-world context

C. A requirement to survey an entire organisation

D. A focus exclusively on historical events

Correct Answer: B. Study of a bounded phenomenon in its real-world context

Question 4

Analytical generalisation involves:

A. Applying a sample percentage automatically to all organisations

B. Connecting case findings to concepts, mechanisms, or propositions

C. Removing context from the findings

D. Using only statistically significant results

Correct Answer: B. Connecting case findings to concepts, mechanisms, or propositions

Question 5

Which sequence best represents a typical participatory action-research cycle?

A. Planning, acting, observing, reflecting

B. Sampling, randomising, estimating, publishing

C. Interviewing, coding, deleting, generalising

D. Measuring, ranking, rewarding, terminating

Correct Answer: A. Planning, acting, observing, reflecting

Question 6

What does convergence mean in mixed-methods interpretation?

A. The research has no qualitative component

B. Different strands point to broadly similar conclusions

C. Participants all have identical opinions

D. The sample is statistically representative

Correct Answer: B. Different strands point to broadly similar conclusions

Question 7

Which sampling strategy selects interviewees from survey respondents who agreed to follow-up?

A. Merging

B. Connecting

C. Multilevel

D. Cluster randomisation

Correct Answer: B. Connecting

Question 8

Why can contradictory findings be valuable?

A. They prove that all data are invalid

B. They may reveal subgroup differences, contextual conditions, or measurement limits

C. They remove the need for ethical review

D. They automatically establish causation

Correct Answer: B. They may reveal subgroup differences, contextual conditions, or measurement limits

Question 9

Which practice best protects employees in organisational research?

A. Allowing managers unrestricted access to raw interview data

B. Promising absolute anonymity in every circumstance

C. Separating research data from performance records and controlling access

D. Excluding dissenting participants from analysis

Correct Answer: C. Separating research data from performance records and controlling access

Question 10

In the illustrative Northbridge case, what best explained the apparently conflicting findings about flexibility and belonging?

A. Employees rejected all forms of remote work

B. Flexibility was valued, but local support practices differed between teams

C. The survey contained no employees

D. Turnover had already been permanently eliminated

Correct Answer: B. Flexibility was valued, but local support practices differed between teams