Project Work / Dissertation

Chapter 1
Foundations of HRM Project Work and Dissertation Research

Bachelors Program in Human Resource Management
Project Work / Dissertation   •   Bachelor

Foundations of HRM Project Work and Dissertation Research

Introduction

Project work and dissertation research enable Human Resource Management (HRM) students to investigate workplace problems systematically. Rather than relying on intuition, researchers formulate answerable questions, examine relevant scholarship, collect or analyse evidence, and produce defensible conclusions. The resulting work may contribute to academic understanding, organisational decision-making, or both.

HRM research has distinctive challenges. Employment relationships involve unequal power, sensitive personal information, competing stakeholder interests and outcomes that are difficult to isolate from organisational context. A technically sophisticated project can therefore fail if it lacks ethical safeguards, practical relevance or a coherent connection between its question, evidence and conclusions.

At bachelor level, originality rarely means creating an entirely new theory. It may involve applying an established theory in a new setting, examining a neglected employee group, combining evidence in a useful way, replicating earlier research, or producing a contextually grounded recommendation.

Learning Objectives

After completing this chapter, students should be able to:

  1. Explain the academic and applied purposes of HRM research.
  2. Use core research terminology accurately.
  3. Distinguish dissertations, consultancy projects, case studies and action research.
  4. Describe the principal stages of an HRM research project.
  5. evaluate a proposed project in terms of relevance, rigour, originality and feasibility.
  6. Align research questions, theory, methods, analysis and conclusions.
  7. Recognise major ethical, governance and scholarly-integrity requirements.
  8. Develop a feasible initial HRM research proposal.

1. The Nature and Purpose of HRM Research

Research is a systematic, transparent and critical process for developing or evaluating knowledge. Its defining feature is not simply the collection of information. An employee survey, for example, becomes research only when it is connected to a clear question, an appropriate design, reasoned analysis and defensible interpretation.

HRM research commonly serves four purposes:

  • Exploration: identifying meanings, experiences or poorly understood issues, such as how remote workers experience social isolation.
  • Description: establishing what exists, such as the distribution of training participation across occupational groups.
  • Explanation: examining why or how phenomena are related, such as mechanisms connecting supervisory support with employee retention.
  • Evaluation: assessing the design, implementation or outcomes of an HR intervention.

A project may serve more than one purpose, but these purposes should not be confused. Finding that engagement and intention to leave are statistically associated does not, by itself, explain causation. Likewise, documenting employee satisfaction after training does not establish that training improved job performance.

Academic and applied value

Academic research primarily seeks credible knowledge that can be related to theory and previous evidence. Applied research addresses a practical problem or decision. Strong HRM projects often combine both. For example, an investigation of flexible working may use boundary theory to answer a managerially important question about burnout.

Two errors should be avoided:

  1. Problem without scholarship: treating an organisational concern as a consulting task without critically engaging with research.
  2. Scholarship without decision value: reviewing theory extensively while failing to show why the question matters to employees, managers or society.

2. Essential Research Terminology

Precise terminology helps make a research design coherent.

TermMeaning in project work
Research topicBroad area of interest, such as employee wellbeing.
Problem statementEvidence-based account of what is unknown, unsatisfactory or contested.
AimOverall purpose of the project.
ObjectivesSpecific steps required to achieve the aim.
Research questionFocused question the evidence is intended to answer.
HypothesisTestable prediction about variables, normally used in quantitative research.
TheoryConnected concepts and propositions explaining or interpreting phenomena.
Conceptual frameworkProject-specific representation of important concepts and expected relationships.
MethodologyRationale and principles governing the research design.
MethodParticular procedure for collecting or analysing evidence.
DataRecorded observations, accounts, documents or measurements used as evidence.
PopulationComplete group to which the research question refers.
SampleSubset of cases actually studied.
Unit of analysisEntity about which conclusions are drawn, such as employees, teams or organisations.
FindingResult produced by analysis.
ConclusionReasoned answer to the research question based on findings and literature.
RecommendationProposed action justified by findings and practical considerations.

Methodology and methods are not synonyms. A methodology explains why a design is suitable; methods describe what the researcher does. For example, an interpretive methodology may justify semi-structured interviews and thematic analysis as methods for examining employees’ meanings.

The unit of analysis also requires care. Data obtained from individual employees do not automatically justify conclusions about organisational culture. Moving from individual evidence to organisational claims without adequate justification is a level-of-analysis error.

3. Research Paradigms, Theory and Evidence

A research paradigm is a set of assumptions about reality, knowledge and legitimate inquiry. Students need not adopt a philosophical label mechanically, but they should understand the assumptions embedded in their designs.

Positivist and post-positivist orientations

These orientations emphasise measurement, systematic observation and testing of proposed relationships. Post-positivism recognises that measurements and explanations remain fallible. Surveys, experiments and statistical models are commonly associated with these orientations, although no method belongs exclusively to one paradigm.

Interpretivism

Interpretivism investigates how people understand and construct social experience. In HRM, it is useful for studying identities, perceived fairness, leadership meanings and employee experiences. Interviews, observation and qualitative documents are often appropriate.

Pragmatism

Pragmatism selects methods according to the research problem and the practical consequences of inquiry. It often supports mixed-methods research, provided that combining methods creates meaningful integration rather than two disconnected studies.

Critical perspectives

Critical approaches examine power, inequality, ideology and taken-for-granted organisational practices. They may investigate how apparently neutral selection, performance or reward systems reproduce disadvantage.

Theory can be used deductively or inductively. Deductive research begins with theory-derived expectations and examines them against evidence. Inductive research develops concepts or explanations from patterns in the evidence. Abductive reasoning moves iteratively between surprising observations and possible theoretical explanations. Real projects may use more than one form of reasoning.

4. Major Forms of HRM Project Work

4.1 Dissertation

A dissertation is an extended, independently conducted academic investigation. It normally requires a research problem, critical literature review, justified methodology, systematic analysis, conclusions and reflection on limitations. Assessment usually prioritises reasoning, academic standards and methodological coherence rather than whether the results please an organisation.

4.2 Consultancy project

A consultancy project addresses a client-defined organisational need and typically produces actionable recommendations. Deliverables may include a diagnostic report, implementation plan or policy proposal. Client deadlines, access and utility are important, but academic consultancy projects must still demonstrate critical inquiry and independence.

A researcher should not suppress inconvenient findings because a sponsor dislikes them. The client’s preferred explanation is a proposition to investigate, not a predetermined conclusion.

4.3 Case study

A case study is an in-depth investigation of a bounded contemporary case in its real-world context. The case may be an organisation, team, programme, event or employment process. Its boundaries—such as organisation, location and period—must be explicit.

Case studies can use interviews, documents, observations and quantitative records. They are therefore research designs or strategies, not merely qualitative data-collection methods. A single case may offer analytical insight into theory, but it does not automatically provide statistical generalisation to a population.

4.4 Action research

Action research is a participative, cyclical approach in which inquiry and planned change occur together. Researchers and organisational participants diagnose a problem, plan action, implement it, observe or evaluate results, and reflect before beginning another cycle.

Action research cycle Plan Act Observe / evaluate Reflect Collaborative learning and change
Action research cycle showing plan, act, observe or evaluate, and reflect
Figure: Action research cycle showing plan, act, observe or evaluate, and reflect

Figure: The action research cycle; each arrow terminates at the next stage, including Act → Observe/evaluate.

Action research is valuable when change and learning are inseparable. Its difficulties include role conflict, organisational politics, participant influence and weak evaluation designs. Reflection alone does not establish whether an intervention caused an outcome.

Comparison of project forms

DimensionDissertationConsultancy projectCase studyAction research
Primary emphasisAcademic inquiryClient decision or problemContextual understandingInquiry through change
Typical outputScholarly reportRecommendations and implementation adviceDetailed case explanationCycles of action and learning
Researcher roleIndependent investigatorAdviser or analystIn-depth investigatorResearcher-participant or facilitator
Main quality concernAcademic coherenceCredibility and utilityCase boundaries and evidence depthParticipation, reflection and evaluation
Common riskOverly broad questionClient-driven biasUnwarranted generalisationAttributing change without adequate evidence

These categories can overlap. A dissertation may use a case-study design, while a consultancy project may contain action-research cycles. The terms refer to different aspects of a project and are not always mutually exclusive.

5. Quality Criteria for HRM Research

Four central criteria are relevance, rigour, originality and feasibility. They interact: an important question is of little value if it cannot be answered credibly within available time and access.

Relevance

Relevance concerns why the project matters. Academic relevance arises from a gap, inconsistency or unresolved theoretical issue. Practical relevance arises from a decision, risk, employee concern or policy challenge. Social relevance may concern equality, decent work, health or accountability.

A local organisational inconvenience is not automatically a research problem. The researcher must establish its significance with preliminary evidence and connect it to wider knowledge.

Rigour

Rigour is disciplined reasoning throughout the project. It includes:

  • clear concepts and questions;
  • critical engagement with credible literature;
  • appropriate sampling and data collection;
  • transparent analysis;
  • attention to alternative explanations;
  • ethical conduct;
  • conclusions proportional to the evidence.

In quantitative research, common criteria include reliability, construct validity, internal validity and external validity. In qualitative research, credibility, dependability, confirmability and transferability are frequently considered. These are not mechanical checklists; their importance depends on the design and claims.

Originality

Originality is a defensible contribution relative to existing knowledge and project level. Bachelor-level originality may arise from:

  • a new organisational or national context;
  • attention to an under-researched employee group;
  • replication of an earlier study;
  • a new synthesis of literature;
  • integration of two useful perspectives;
  • collection of current evidence about an emerging practice.

Simply changing an organisation’s name or repeating an existing survey without justification does not establish originality.

Feasibility

Feasibility concerns whether the project can be completed with available time, skills, access, data, finance and ethical approval. A narrow question answered well is preferable to a broad question addressed superficially.

A preliminary scoring model can support—but not replace—judgement. If criteria are assigned weights that sum to 1, a weighted score is:

S = ∑i=1k wi ri

Here, S is the overall score, wi is the weight assigned to criterion i, ri is its rating on a common scale, and k is the number of criteria. The model is a decision aid, not an objective measure; ratings remain judgement-based.

Worked screening example. A proposal is rated from 1 (very weak) to 5 (very strong). The weights for relevance, rigour potential, originality and feasibility are 0.30, 0.30, 0.15 and 0.25 respectively. They sum to 1. The ratings are 5, 4, 3 and 4.

S = (0.30 × 5) + (0.30 × 4) + (0.15 × 3) + (0.25 × 4) = 4.15

The score of 4.15 out of 5 suggests a promising proposal under this chosen model. It does not remove the need to inspect serious weaknesses individually; a critical ethical or access problem should not be concealed by a high average.

6. From Topic to Coherent Research Design

Defining the problem

A useful problem statement establishes:

  1. the organisational or scholarly context;
  2. what is currently known;
  3. what remains unknown or contested;
  4. why the gap matters;
  5. what the project will investigate.

“Employee motivation” is a topic, not a research problem. A more focused question might be: “How do newly hired nurses perceive the effect of supervisory feedback on their motivation during their first six months in Hospital X?”

Aim, objectives and questions

The aim states the overall purpose. Objectives translate that purpose into manageable intellectual tasks, such as reviewing theory, measuring a construct, exploring experiences or comparing groups. Objectives should describe research activities rather than administrative tasks such as “send questionnaires.”

Questions should be clear, focused, researchable and ethically answerable. Causal words such as “effect” and “impact” should be used only when the design can support causal inference. A one-time observational survey usually supports claims about association, not causal effect.

Reviewing literature

A literature review identifies, evaluates and synthesises relevant knowledge. It is not an annotated list of sources. A defensible review records databases, keywords, inclusion decisions and date boundaries where appropriate. Source quality, methods, context and contradictions should be critically assessed.

Literature helps researchers refine concepts, select theory, avoid unnecessary duplication, justify methods and interpret findings. Recent sources are important for current practice, but foundational works may remain theoretically significant.

Alignment

Research quality depends on alignment among the problem, question, theory, evidence, analysis and claim.

Design elementAlignment question
ProblemIs there evidence that the issue or knowledge gap exists?
QuestionDoes it address the stated problem?
TheoryDoes it clarify relevant concepts or mechanisms?
DataCan the evidence answer the question?
AnalysisIs it suitable for the evidence and intended claim?
ConclusionDoes it answer only what the design supports?
RecommendationIs it justified, feasible and attentive to stakeholders?

7. The Main Stages of a Project

Although research often involves iteration, a typical sequence is:

  1. Topic exploration: identify an area, stakeholders and preliminary evidence.
  2. Problem formulation: establish the gap and significance.
  3. Literature review and framework development: evaluate scholarship and define concepts.
  4. Question, aim and objectives: specify what the project will answer.
  5. Research design: choose methodology, methods, sampling and analysis.
  6. Feasibility and risk assessment: confirm time, access, competence and resources.
  7. Ethics approval: obtain required approval before recruiting participants or collecting data.
  8. Pilot work: test instruments, procedures and practical arrangements where appropriate.
  9. Data collection: implement the approved protocol and document deviations.
  10. Analysis: apply transparent and appropriate procedures.
  11. Interpretation: relate findings to questions, theory, context and alternative explanations.
  12. Writing and review: present the argument, limitations and implications coherently.
  13. Dissemination and data management: submit outputs, communicate responsibly and retain or destroy data under approved rules.

These stages are not entirely linear. A literature review may reveal that the question needs refinement. However, ethical safeguards cannot be treated retrospectively; data collection should not begin before required approval.

8. Choosing Methods and Evaluating Evidence

Quantitative designs

Quantitative research uses numerical measurement and statistical analysis. Common HRM sources include questionnaires, HR information systems, performance indicators and experiments. Strengths include structured comparison and estimation; limitations include measurement error, non-response and the loss of contextual meaning.

A basic descriptive HR indicator is period employee turnover:

T = L ÷ ((H0 + H1) ÷ 2) × 100

Here, T is turnover for the stated period as a percentage, L is the number of employee leavers during that period, and H0 and H1 are headcounts at the beginning and end. The endpoint average is an approximation and assumes it reasonably represents workforce exposure during the period. Organisations with strong seasonal fluctuation should use more frequent average headcount data. Definitions of “leaver” must be consistent.

If 24 employees leave, beginning headcount is 180 and ending headcount is 172, average headcount is (180 + 172) ÷ 2 = 176. Therefore:

T = 24 ÷ 176 × 100 = 13.64%

This indicator describes turnover; it does not explain why employees left.

Qualitative designs

Qualitative research examines meanings, processes and contexts through evidence such as interviews, focus groups, observations and documents. Sampling is usually purposive rather than statistically representative. Quality depends on depth, reflexivity, transparent interpretation and sufficient evidence for themes.

Researchers should report how codes and themes were developed, how contradictory cases were handled and how their own position may have influenced the inquiry. Counting comments alone is not thematic analysis.

Mixed-methods designs

Mixed-methods research intentionally integrates quantitative and qualitative evidence. A survey may identify the prevalence of a pattern, while interviews explore its meaning. Integration may occur during sampling, analysis or interpretation. Merely placing a questionnaire and several interviews in the same project does not create an integrated mixed-methods design.

9. Ethics, Governance and Regulatory Responsibility

HRM research may expose employees to reputational, psychological or employment risks. Core principles include informed consent, voluntary participation, minimisation of harm, privacy, fairness and integrity.

Consent documents should explain the study, expected participation, foreseeable risks, data use, withdrawal arrangements and contact routes. Consent does not make every procedure ethical, particularly where employees feel pressured by managers.

Key governance issues include:

  • collecting only data necessary for the research purpose;
  • restricting access to identifiable information;
  • separating consent records from research data where possible;
  • using encryption and approved storage;
  • specifying retention and secure destruction;
  • reporting small groups in ways that prevent re-identification;
  • complying with applicable data-protection and employment law;
  • declaring sponsorship and conflicts of interest.

Anonymity means that identities are not known or cannot reasonably be linked to responses. Confidentiality means identities may be known but are protected. Researchers should not promise anonymity when interview recordings, unique job roles or linked HR records make identification possible.

Gatekeeper permission from an employer does not replace individual consent. Equally, participant consent does not replace institutional ethics approval where approval is required.

10. Technology, People Analytics and Generative AI

Digital HR systems make large administrative datasets available for research, but volume does not guarantee validity. Records may contain historical bias, inconsistent coding or missing data. Algorithmic predictions can also produce discriminatory outcomes when training data reproduce past inequalities.

Generative AI can assist with brainstorming search terms, improving language or generating code templates when institutional rules permit. It should not be treated as an authoritative source. Outputs may contain fabricated references, hidden bias or confidential material. Researchers remain responsible for verification, citation, disclosure and compliance with assessment rules.

Sensitive organisational or participant information should not be entered into unapproved public AI systems. AI must not fabricate interview transcripts, observations or findings. Authorship requires intellectual responsibility that cannot be transferred to a tool.

Contemporary HRM research increasingly addresses hybrid work, algorithmic management, employee surveillance, skills analytics and platform labour. These topics intensify longstanding questions about power, fairness, consent and the boundary between organisational efficiency and employee autonomy.

11. Illustrative Applied Case: Retention in a Distribution Company

Background

The following fictional case illustrates project design. Northstar Distribution employs approximately 450 workers across two warehouses. Management reports increasing resignations among employees in their first year.

Problem

Senior managers believe pay is the sole cause and request a rapid questionnaire. Preliminary HR records show that early-tenure turnover differs sharply between shifts, while exit records contain many incomplete reasons. The available evidence does not justify management’s preferred explanation.

Analysis

The student frames the question: “How do pay perceptions, supervisory support and shift arrangements shape first-year employees’ intentions to remain at Northstar Distribution?” Organisational-support theory and perceived organisational justice provide a conceptual basis. Because the question concerns both patterns and experiences, a mixed-methods case study is proposed.

Approach

The student:

  1. reviews research on early-tenure turnover, support and justice;
  2. analyses de-identified HR records by shift and tenure;
  3. administers a voluntary survey using established measures where licensing permits;
  4. conducts confidential interviews with purposively selected current employees and recent voluntary leavers;
  5. integrates statistical patterns and interview themes;
  6. avoids giving supervisors access to individual responses.

The study receives ethics and organisational approval. Recruitment messages come from the researcher rather than line managers to reduce perceived coercion.

Findings and proposed solution

Lower supervisory support and unpredictable shift changes are associated with stronger intentions to leave. Interviewees describe late schedule notification and inconsistent treatment by supervisors. Pay remains important, but it is not the only explanation.

The student recommends a pilot involving minimum schedule-notice standards, supervisor coaching and structured first-month check-ins. Measures are specified before implementation, including turnover, absence, schedule changes and employee-reported support.

Outcome and limitations

After six months, pilot-shift turnover declines while perceived support improves. However, seasonal demand also falls, there is no random assignment, and the follow-up period is short. The evidence therefore supports cautious continuation and stronger evaluation, not a definitive claim that the pilot caused the improvement.

Learning points

  • Client assumptions should be investigated rather than accepted.
  • Multiple evidence sources can reveal a more complete explanation.
  • Sensitive data require safeguards beyond managerial permission.
  • Recommendations should follow from findings and include evaluation criteria.
  • Observed improvement does not automatically demonstrate causation.

12. Common Challenges and Good Practice

Frequent weaknesses include questions that are too broad, convenience samples presented as representative, instruments of unknown quality, descriptive results labelled as explanations, and recommendations disconnected from findings. Access may also be withdrawn, participants may not respond, and organisational priorities may change.

Good practice includes maintaining a decision log, allowing contingency time, piloting procedures, documenting changes, using consistent definitions and discussing negative or contradictory evidence. Researchers should distinguish limitations they could have prevented from constraints inherent in the setting.

Scholarly writing must separate evidence, interpretation and recommendation. All borrowed ideas, words, datasets and instruments require appropriate acknowledgement. Direct quotation, paraphrasing and summarising each require citation. Reference lists should correspond accurately to in-text citations. Selective reporting, plagiarism, falsification and fabrication violate research integrity.

A strong project is not one that claims certainty. It is one that makes a worthwhile contribution while stating clearly what the evidence can and cannot support.

Chapter Summary

HRM project work uses systematic inquiry to address academic and workplace questions. Dissertations emphasise independent scholarly investigation; consultancy projects emphasise credible client value; case studies examine bounded cases in context; and action research combines cycles of planned change, evaluation and reflection. These forms can overlap.

Research quality depends on relevance, rigour, originality and feasibility. Coherence requires alignment among the problem, research question, theory, methodology, methods, analysis and conclusions. Quantitative, qualitative and mixed-methods designs answer different kinds of questions and support different claims. Ethical governance is especially important in HRM because participants may face power imbalances and employment risks. Technology and AI can support research, but they do not replace verification, transparency or researcher accountability.

Key Terms

Abductive reasoning: Iterative movement between observations and possible theoretical explanations.

Action research: Participative inquiry conducted through recurring cycles of planning, action, evaluation and reflection.

Case study: In-depth investigation of a bounded case in its real-world context.

Consultancy project: Applied investigation designed to inform a client’s decision or action.

Conceptual framework: Project-specific representation of key concepts and relationships.

Confidentiality: Protection of information and identities known to the researcher.

Deduction: Testing expectations derived from theory.

Dissertation: Extended independent academic research project.

Feasibility: Practical ability to complete a project with available resources, access and time.

Induction: Development of concepts or explanations from observed evidence.

Method: Specific procedure for collecting or analysing evidence.

Methodology: Reasoned principles and rationale underlying a research design.

Originality: Defensible contribution relative to existing knowledge and academic level.

Paradigm: Set of assumptions about reality, knowledge and inquiry.

Relevance: Academic, practical or social importance of a research problem.

Research question: Focused question that the evidence is intended to answer.

Rigour: Disciplined, transparent and appropriate conduct of research.

Unit of analysis: Entity about which the research draws conclusions.

Review Questions

Short Answer Questions

  1. What distinguishes research from routine information gathering?
  2. What is the difference between methodology and method?
  3. Give two forms of bachelor-level originality.
  4. Why does gatekeeper permission not replace participant consent?
  5. What is a unit-of-analysis error?

Long Answer Questions

  1. Explain how academic and applied purposes can be combined in an HRM dissertation.
  2. Compare dissertations, consultancy projects, case studies and action research.
  3. Discuss relevance, rigour, originality and feasibility as criteria for project quality.
  4. Explain the stages of an HRM project and why iteration may be necessary.
  5. Evaluate the ethical and governance challenges of researching employees in their workplace.

Analytical / Application Questions

  1. A manager asks a student to prove that remote working reduces productivity. Reformulate this request as a defensible research problem and question.
  2. Evaluate whether a one-time employee survey can establish that supervisory support causes retention. Propose a stronger design.
  3. Develop an aligned aim, two objectives, a research question and a feasible method for investigating fairness in algorithm-assisted recruitment.

Multiple Choice Questions with Answers

Question 1

Which statement best distinguishes a research method from methodology?

A. A method is a philosophical worldview, while methodology is a dataset.

B. A method is a specific procedure, while methodology provides the rationale and principles for the design.

C. A method is always quantitative, while methodology is always qualitative.

D. A method states the findings, while methodology states the recommendations.

Correct Answer: B. A method is a specific procedure, while methodology provides the rationale and principles for the design.

Question 2

Which project form most explicitly combines inquiry with recurring cycles of organisational change and reflection?

A. Action research

B. Cross-sectional survey research

C. Narrative literature review

D. Document archiving

Correct Answer: A. Action research

Question 3

A student conducts interviews within one organisation and concludes that every organisation in the industry has the same culture. What is the principal problem?

A. The student has used too many data sources.

B. The conclusion makes an unwarranted generalisation beyond the evidence.

C. Interviews cannot be used in case studies.

D. Culture can only be measured experimentally.

Correct Answer: B. The conclusion makes an unwarranted generalisation beyond the evidence.

Question 4

Which proposal best demonstrates bachelor-level originality?

A. Copying an earlier questionnaire without justification

B. Changing only the title of an existing report

C. Applying an established theory to an under-researched employee group

D. Avoiding the literature so the ideas remain original

Correct Answer: C. Applying an established theory to an under-researched employee group

Question 5

Which claim is generally defensible from a one-time observational survey showing that engagement is associated with intention to leave?

A. Engagement and intention to leave are associated in the observed sample.

B. Low engagement certainly causes every resignation.

C. Increasing engagement will eliminate turnover.

D. Intention to leave cannot influence engagement.

Correct Answer: A. Engagement and intention to leave are associated in the observed sample.

Question 6

A project has criterion weights of 0.30, 0.30, 0.15 and 0.25 and corresponding ratings of 5, 4, 3 and 4. What is its weighted score?

A. 3.55

B. 3.85

C. 4.15

D. 4.50

Correct Answer: C. 4.15

Question 7

If 24 employees leave during a period, beginning headcount is 180 and ending headcount is 172, what is turnover using the endpoint average headcount formula?

A. 12.00%

B. 13.33%

C. 13.64%

D. 13.95%

Correct Answer: C. 13.64%

Question 8

Which action best reduces perceived coercion when recruiting employees for workplace research?

A. Require supervisors to record who participates.

B. Make participation part of performance appraisal.

C. Have the researcher issue a voluntary invitation independent of line managers.

D. Tell employees that senior management expects full participation.

Correct Answer: C. Have the researcher issue a voluntary invitation independent of line managers.

Question 9

Which statement about mixed-methods research is correct?

A. It requires purposeful integration of quantitative and qualitative evidence.

B. It is created whenever two questionnaires are used.

C. It eliminates the limitations of both component methods.

D. It does not require a research question.

Correct Answer: A. It requires purposeful integration of quantitative and qualitative evidence.

Question 10

What is the most appropriate response when an organisational client asks a researcher to suppress an inconvenient finding?

A. Remove the finding to preserve the client relationship.

B. Replace the finding with the client’s preferred explanation.

C. Report the finding responsibly while protecting confidentiality and maintaining research integrity.

D. Publish identifiable employee data immediately.

Correct Answer: C. Report the finding responsibly while protecting confidentiality and maintaining research integrity.

Project Work / Dissertation
Chapter 1 of 15