Module 2: The Research Problem

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Learning outcomes

After this module, you should be able to:

• identify and formulate a well-specified research problem;
• distinguish a research problem from a mere topic or curiosity;
• apply iterative-re definition and root-cause tools (fishbone, 5-whys);
• write clear aims, objectives, and deliverables;
• carry out feasibility and scope analysis.

Prerequisites

Complete Module 1 first. Review its quick-revision section if any term below feels unfamiliar.

Study blocks

Study one block at a time. Work through its example and checkpoint before continuing.

Block	Topic	Suggested time
1	Start here: the simple idea	10-15 minutes
2	Meaning and identification of a research problem	10-15 minutes
3	Need for a clearly defined problem	10-15 minutes
4	Problem-definition techniques: iterative refinement	10-15 minutes
5	Root-cause mapping	10-15 minutes
6	Defining aim, objectives, and deliverables	10-15 minutes
7	Feasibility and scope analysis	10-15 minutes
8	Research-problem case studies	10-15 minutes

Start here: the simple idea

A research problem is a sharp, narrow question that a study can actually answer. Vague problems ("social media is bad") lead to vague work; a good problem is focused ("does 1-hour daily social-media use predict sleep quality among 18–22-year-olds?") and therefore answerable.

Everyday analogy

Choosing a research problem is like targeting a single tree in a forest: too wide ("the forest") and you never get to a single tree; too narrow and there is nothing to cut. Find the one tree that matters and is within reach of your axe.

Meaning and identification of a research problem

A research problem is a gap between what is known and what needs to be known, stated as a question. Good problems:

• arise from a genuine knowledge gap (not a hobby interest);
• matter to scholars, practitioners, or society;
• are feasible for the researcher (time, data, skills, ethics);
• lead to testable hypotheses and a clear methodology.

Sources of research problems:

• a gap in the literature;
• a practical problem reported by practitioners;
• inconsistent findings across studies;
• new theories or technologies that create new questions;
• replication needs.

Worked example (our running study)

• Topic: student stress at MCA colleges.
• Gap: no study has measured whether a supervised daily exercise plan reduces stress specifically among full-time MCA students.
• Sharpened question: "Does a supervised 30-minute daily exercise plan, over 8 weeks, reduce self-reported stress compared with a no-intervention control?"

Need for a clearly defined problem

An ill-defined problem causes:

• scope creep (the project keeps growing),
• unfocused data collection,
• inconclusive conclusions,
• wasted time redesigning mid-way.

A well-phrased problem guides every later choice (design, data, analysis).

Problem-definition techniques: iterative refinement

Iterative refinement narrows a broad topic to a manageable question:

1. Start broad → "stress in students."
2. Add context → "stress in MCA students."
3. Add population → "full-time MCA students."
4. Add intervention → "exercise plan."
5. Add comparison → "compared with no exercise."
6. Add outcome → "stress level change."
7. Add time → "over 8 weeks."

Each pass adds precision. This is a working loop, not a single draft.

Root-cause mapping

Fishbone (Ishikawa) diagram

Factors contributing to student stress, grouped under Categories (People, Methods, Machines, Materials, Environment, Policy):

                 ┌─ Coursework load (People/Methods)
Student Stress ←┤
                 ├─ Poor time management (People)
                 ├─ No gym on campus (Machines/Materials)
                 ├─ Exam pressure (Methods)
                 └─ Hostel noise (Environment)

The diagram shows the problem has multiple causes, suggesting an intervention targeting several at once.

5-Why method

1. Why are students stressed? → Heavy workload.
2. Why heavy workload? → Many assignments due together.
3. Why do assignments cluster? → No staggered deadlines.
4. Why no staggering? → No policy coordinating course schedules.
5. Why no policy? → Depts plan independently.

Root cause: lack of coordinated scheduling.

Defining aim, objectives, and deliverables

• Aim: the broad goal (one or two sentences). "To evaluate whether a supervised daily exercise plan reduces stress among MCA students."
• Objectives: specific, measurable steps. O1. Measure baseline stress with the PSS-10. O2. Run an 8-week supervised exercise programme. O3. Compare post-intervention stress between groups. O4. Report effect size and p-value.
• Deliverables: concrete outputs (report, dataset, code, presentation).

Feasibility and scope analysis

Aspect	Questions	Typical thresholds
Time	Can it be done in the deadline?	Matches academic calendar
Resources	Staff, equipment, budget?	Gym + researcher hours
Ethics	Consent, privacy, risk?	IRB approval, anonymity
Data	Is data collectable & adequate?	Pre/post surveys available
Scope	Bounded enough to finish?	One college, two arms, 8 weeks

A scope check asks: what is in vs out? (No follow-up beyond 8 weeks; only full-time MCA students; only one college.)

Research-problem case studies

1. Bad: "Smartphones are changing communication." (Too broad; no variables.)
2. Better: "How do university students use WhatsApp daily?" (Exploratory; clearer.)
3. Good: "Does daily WhatsApp use >2h predict loneliness scores among 18–22y students?" (Testable, focused.)

PDF-aligned additions

Sources and diagnosis of research problems

Research problems may come from theory gaps, contradictory findings, practical needs, observation, industry problems, policy needs, or limitations reported in earlier studies. A 5-Why analysis repeatedly asks why a problem occurs to move from symptoms toward a root cause. A fishbone diagram groups possible causes under categories such as people, process, technology, environment, and measurement.

Aim, objectives, and deliverables

The aim is the broad purpose. Objectives are smaller, action-oriented steps; a deliverable is the concrete output, such as a dataset, prototype, model, report, or evaluation. A strong problem statement identifies the context, gap, affected population/system, consequence, and intended contribution.

Common mistakes

• Starting without literature → reinventing solved problems.
• A problem too broad → unfocused, unmanageable.
• A problem that is not a question → can't be answered empirically.
• Ignoring feasibility → a brilliant question you cannot answer.
• Confusing aim (goal) with objectives (steps).

Memory rules

• Problem = gap in knowledge, stated as a question.
• Iterate: broad → context → population → variables → outcome → time.
• 5-whys digs to root; fishbone maps categories of causes.
• Aim (broad) vs Objectives (specific, measurable) vs Deliverables (outputs).
• Feasibility: Time, Resources, Ethics, Data, Scope.

Check your understanding

1. Convert "exercise is good" into a research problem.
2. In a fishbone diagram, what goes on the bones vs the fish head?
3. Give one aim and two objectives for the exercise-stress study.
4. Name the five feasibility checks.

Answers

Reveal answers after attempting the questions

1. "Does a supervised 30-minute daily exercise plan, over 8 weeks, reduce self-reported stress scores among full-time MCA students compared with no intervention?"
2. Head = the problem (effect); bones = categories of causes.
3. Aim: evaluate whether exercise reduces stress in MCA students. O1: measure baseline stress; O2: compare post-intervention stress between groups. (any two valid objectives.)
4. Time, resources, ethics, data, scope (or "feasibility and scope analysis").

Quick revision box

• Problem = knowledge gap → question; sources: gaps, practice problems, inconsistencies.
• Iterative refinement narrows topic → context → population → variables → question.
• Fishbone (categories of causes) and 5-whys (root cause) map causality.
• Aim (broad goal) vs Objectives (measurable steps) vs Deliverables (outputs).
• Feasibility: time, resource, ethics, data, scope — keep problem bounded & doable.

Exam guidance

Define the method, justify why it fits the research question, apply it to the running study, and mention one limitation or ethical consideration.

Practice ladder

1. Easy - Recall: Define the module's central idea in one or two sentences.
2. Easy - Recognize: Identify the correct method for a small example and explain why it fits.
3. Medium - Apply: Work through one representative problem without copying the example.
4. Medium - Compare: Contrast two methods or concepts from the module.
5. Hard - Integrate: Solve a university-style scenario and justify every major step.

Reveal self-evaluation guide

A complete response uses correct terminology, shows intermediate steps, connects the result to the scenario, and states one assumption or limitation.

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