CQP Advanced LevelResearch Project / Workshop Case Presentation
Chapters
Chapter 1

Part A: The project chapters

Introduction to research

Last updated November 20264 sectionsabout 12 min read

Key takeaways

  • Research is the systematic investigation of a question: what separates it from opinion is a method that is stated, defensible and capable of being repeated by somebody else.
  • A CQP project is applied research: it investigates a quality problem in a real organisation or sector and produces recommendations that could be implemented.
  • The proposal is approved before fieldwork begins and becomes chapters one to three of the project, rewritten in the past tense with what actually happened.
  • A plausible study passes four tests: researchable, feasible, significant and original in some respect. A topic failing any of them should be abandoned early rather than defended.
  • Narrow a broad topic by adding constraints to it (the aspect of quality, the population, the geography, a measurable variable, the period) rather than by changing subject.

This paper is assessed by what you produce rather than by what you can recall. The output is a research project on a quality management problem, and the single largest determinant of whether it succeeds is the choice of topic, which is made in the first weeks and cannot be undone later without starting again.

Overview of research

Research
The systematic investigation of a question in order to produce new knowledge or to establish facts. The word systematic carries the definition: what distinguishes research from opinion is that the method is stated, defensible and capable of being repeated by somebody else.
Basic and applied research
Basic research seeks knowledge for its own sake; applied research addresses a practical problem. A CQP project is applied research: it investigates a quality problem in a real organisation or sector and produces recommendations that could be implemented.
Quantitative and qualitative research
Quantitative research measures and analyses numerically, seeking to test relationships and to generalise. Qualitative research explores meaning, process and context through non-numerical data, seeking depth rather than generalisation. Mixed methods combine both.
Research proposal and research project
The proposal sets out what you intend to do and why, and is approved before fieldwork begins. The project is the completed work including findings. The proposal becomes chapters one to three of the project, so it is not discarded but rewritten in the past tense with what actually happened.

How to study this paper

  • The paper is learned by doing, so read the guidance once and then begin work on your own topic rather than reading further.
  • Work in the order of the chapters: a literature review written before the objectives are settled will be discarded.
  • Expect the topic to narrow substantially. Almost every candidate's first topic is too broad to research within the time and resource available, and narrowing it is progress rather than retreat.
  • Use your supervisor early and often. A project corrected at the proposal stage costs an afternoon; the same error found at submission costs a term.
  • Keep a research log from the first day, recording decisions, sources and changes, since chapter three must explain what you did and memory will not supply it later.
  • Set the reference manager up before reading anything, because reconstructing references from a folder of downloaded articles is among the most tedious tasks in the process and is entirely avoidable.

Texts and resources

  • The current published research project guidelines of the institution, which govern format, length, submission requirements and the plagiarism threshold, and which take precedence over any general guidance including this material.
  • A research methods text covering design, sampling, instruments and analysis; any standard text is adequate and the choice matters less than reading one properly.
  • The APA publication manual or a reliable summary of it, since APA is the required style.
  • Access to scholarly databases through the institution's library, and Google Scholar for locating material that can then be obtained properly.
  • Reference management software, which pays for the time spent learning it within the first month.
  • Statistical software appropriate to the analysis planned, which for most CQP projects means a spreadsheet or SPSS rather than anything more specialised.
  • The quality management literature of the qualification itself, since a CQP project should be grounded in the frameworks of Quality Management Systems, Quality Control, Assurance and Performance Management, and Quality Improvement and Excellence Models rather than in general management theory.

From problem area to plausible study

The research process end to end

StageOutput
Identify a problem areaA field of concern, still too broad to research
Review preliminary literatureAn understanding of what is already known and where the gaps are
Narrow to a researchable problemA specific problem statement
Formulate objectives and questionsGeneral and specific objectives, research questions, hypotheses where applicable
Design the studyDesign, population, sample, instruments, analysis plan
Write and defend the proposalAn approved proposal, being chapters one to three
Obtain authorisationInstitutional approval and any permit or organisational consent required
Collect dataCompleted instruments, records, transcripts
Analyse and interpretFindings, being chapter four
Conclude and recommendChapter five
Present and submitThe bound project and the defence or workshop presentation
A plausible study
One that can actually be completed. Plausibility is assessed against four tests, and a topic failing any of them should be abandoned early rather than defended.
Researchable
The question must be answerable by evidence. A question of value, such as whether an organisation ought to prioritise quality over cost, is not researchable as posed; a question of fact, such as what relationship exists between quality investment and operating cost in a defined population, is.
Feasible
You must be able to obtain the data within the time, budget and access you actually have. Access is the constraint candidates underestimate most: a study requiring cooperation from thirty firms will not be completed if you have a relationship with two.
Significant
The answer must matter to somebody. A study whose findings would change nothing and interest nobody is not worth the effort even if it is well executed.
Original in some respect
It need not be wholly new. Originality may lie in the population studied, the context, the period, the method, or the combination, and for a professional qualification applying an established framework to a Kenyan sector where it has not been examined is sufficient.

Narrow by adding constraints, not by changing subject

Candidates asked to narrow a topic often abandon it and choose another equally broad one. The productive move is to add constraints to the topic you have. 'Quality management in manufacturing' becomes researchable by specifying the sector, the geography, the population, the aspect of quality and the period: 'the relationship between ISO 9001 certification and customer complaint rates among food processing firms in Nairobi County, 2022 to 2025'. The subject has not changed; four constraints have made it a study.

Narrowing a topic through four iterations

Start: 'Quality management and performance.' Not a topic; it is a field.

Iteration 1, specify the aspect of quality: 'The effect of ISO 9001 certification on organisational performance.' Still unbounded as to who and where.

Iteration 2, specify the population and geography: 'The effect of ISO 9001 certification on the performance of food processing firms in Nairobi County.' Now bounded, but performance is undefined and unmeasurable as stated.

Iteration 3, specify the variable: 'The effect of ISO 9001 certification on customer complaint rates and rework costs among food processing firms in Nairobi County.' Measurable, and the data plausibly exists.

Iteration 4, check feasibility: how many such firms are there, how many are certified, will they release complaint and rework data, and do you have access? If the answer to the last question is no, the topic fails the feasibility test however good it looks, and this is the point to discover it.

Self-check

Explain the criteria against which the plausibility of a proposed research topic should be assessed, and illustrate how a broad topic is narrowed into a researchable one. (12 marks)

Distinguish a research proposal from a research project, and outline the stages of the research process. (8 marks)

Show worked answer

Plausibility criteria and narrowing (12 marks).

A plausible study is one that can actually be completed and is worth completing. It is assessed against four criteria.

Researchability requires that the question be answerable by evidence. Questions of value or of preference cannot be answered by research however important they are: asking whether an organisation ought to prioritise quality over cost is a question of judgement, whereas asking what relationship exists between quality expenditure and operating cost in a defined population is a question of fact and can be investigated. A proposal whose central question cannot be settled by any obtainable evidence should be reformulated before anything else is done.

Feasibility requires that the data can be obtained within the time, budget, skill and access actually available. Access is the constraint candidates most frequently underestimate: a design requiring cooperation from thirty organisations will not be executed by a candidate with a working relationship with two, and no amount of methodological sophistication compensates. Feasibility also covers time, since a longitudinal design cannot be executed in a single term, and skill, since a design requiring statistical technique the candidate cannot perform will produce an analysis that cannot be defended.

Significance requires that the answer matter to somebody identifiable, whether the organisation studied, the sector, the regulator or the professional body. A study whose findings would change nothing and interest nobody is not worth the effort even when competently executed, and the significance section of chapter one exists to make the candidate state who will use the result.

Originality requires that the study contribute something not already established, but the requirement is weaker than candidates fear. For a professional qualification originality may lie in the population studied, the geographic or sectoral context, the period, the method, or the combination of these. Applying a well-established framework to a Kenyan sector in which it has not previously been examined is a sufficient contribution; inventing a new theory is not expected.

Narrowing is achieved by adding constraints to the topic rather than by changing subject, which is the error candidates commonly make when told a topic is too broad. Beginning with quality management and performance, which is a field rather than a topic, the first constraint specifies the aspect of quality, giving the effect of ISO 9001 certification on organisational performance. The second specifies population and geography, giving the effect of certification on food processing firms in Nairobi County. The third specifies the dependent variable in measurable terms, since performance as stated cannot be measured, giving the effect of certification on customer complaint rates and rework costs among those firms. The fourth tests feasibility by asking how many such firms exist, how many are certified, whether they will release the data, and whether the candidate has access. A topic that fails at this last step fails however attractive it appears, and discovering it at the topic stage rather than after three months of literature review is the purpose of the exercise.

Proposal, project and the research process (8 marks).

A research proposal sets out what the candidate intends to investigate, why it matters and how it will be done. It is prepared and approved before fieldwork begins, and it comprises the introduction, the literature review and the methodology, being chapters one to three of the eventual project. A research project is the completed work, comprising those three chapters revised, together with the findings and their analysis, and the summary, conclusions and recommendations. The relationship between the two is that the proposal is not discarded but rewritten: the tense changes from what will be done to what was done, and the methodology chapter is amended to record what actually happened rather than what was planned, since departures from the plan are normal and concealing them is a defect.

The stages of the research process are as follows. Identify a problem area, producing a field of concern still too broad to research. Review preliminary literature, producing an understanding of what is already known and where gaps remain. Narrow to a researchable problem, producing a specific problem statement. Formulate general and specific objectives, research questions and, where the design requires them, hypotheses. Design the study, determining the research design, population, sampling approach, instruments and analysis plan. Write and defend the proposal, producing an approved document. Obtain authorisation, including institutional approval, any research permit required and the consent of organisations to be studied. Collect data using the approved instruments. Analyse and interpret the data, producing the findings that form chapter four. Draw conclusions and make recommendations, forming chapter five. Finally present and submit, comprising the bound project and the defence or workshop presentation. The sequence matters: work performed out of order, most commonly a literature review written before the objectives are settled, is generally wasted.

Test Your Knowledge

3 questions on this chapter
Question 1 of 3A candidate proposes to investigate whether Kenyan manufacturers ought to prioritise quality over cost. Which plausibility test does the question fail as posed?
Pick an option first
Question 2 of 3Wanjiku's design needs data from thirty food processing firms, but she has a working relationship with only two. Which plausibility test is her topic most at risk of failing?
Pick an option first
Question 3 of 3What happens to an approved research proposal when the completed project is written up?
Pick an option first