Module 1: Introduction to Research and the Philosophy of Research

↑ Semester I · Subject index · Next: Module 2 →

Learning outcomes

After this module, you should be able to:

• define research and state its objectives and characteristics;
• outline the historical evolution of scientific research;
• classify research by type and research approach;
• explain positivism, post-positivism, and constructivism;
• identify interdisciplinary and transdisciplinary trends.

Prerequisites

No earlier module is required. Start with the plain-English overview and review each unfamiliar term before continuing.

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	Introduction to research	10-15 minutes
3	History and evolution of scientific research	10-15 minutes
4	Types of research	10-15 minutes
5	Research approach: significance and outcomes	10-15 minutes
6	Philosophy of research	10-15 minutes
7	Case studies in research innovations	10-15 minutes
8	Interdisciplinary and transdisciplinary research	10-15 minutes
9	Important terms	10-15 minutes

Start here: the simple idea

Research is a systematic effort to discover new knowledge or solve a practical problem. It is systematic (a planned method), controlled (checkable and reproducible), empirical (based on evidence), and critical (skeptical but open).

Everyday analogy

Research is like being a detective, but for ideas: you gather clues (data), follow a method (evidence rules), rule out suspect explanations, and report what you found so others can check your work.

Introduction to research

Objectives and characteristics of good research

Objectives: discover new facts, verify known facts, solve problems, build theories, generate applications.

Characteristics of good research:

1. Systematic — follows a planned sequence (problem → design → data → analysis → conclusion).
2. Controlled — variables you are not studying are managed.
3. Empirical — evidence from observation/experiment.
4. Replicable — another researcher can repeat it.
5. Logical — reasoning is valid and grounded in prior work.
6. Ethical — honest, with integrity in data and credit.
7. Cumulative — builds on and contributes to prior work.

History and evolution of scientific research

Era	Features
Ancient (Greece)	Natural philosophy; observation without experiment (Aristotle)
Medieval	Preservation and translation (Islamic scholars, monks)
Renaissance (16th c.)	Experimentation begins (Galileo, Bacon)
Scientific Revolution (17th c.)	Bacon's empirical method; systematic observation and experiment
Newton (1687)	Laws + math modelling (Principia)
18th–19th c.	Specialization; peer review; disciplines split
20th c.	Statistics (Fisher), Big Science, computers, interdisciplinarity
21st c.	Data-intensive research, open science, AI-assisted discovery

Types of research

Type	Purpose	Example
Basic (fundamental)	Understand "how/what/why" — knowledge for its own sake	Proving a theorem
Applied	Solve a specific practical problem	Designing a faster sorting algorithm
Quantitative	Measure with numbers; test with stats	Measuring exam scores before/after a method
Qualitative	Explore meaning/context (interviews, observation)	Understanding why students drop out
Mixed methods	Combine quantitative + qualitative	Quantify graduation rates, interview dropouts

Research approach: significance and outcomes

• Quantitative: hypothesis-driven, numeric data, statistical inference; tests causation; high control.
• Qualitative: exploratory, rich descriptive data, thematic analysis; captures meaning/complexity.
• Mixed: addresses different questions a single approach cannot; triangulates findings.

Philosophy of research

Philosophy	View of reality (ontology)	View of knowledge (epistemology)
Positivism	One objective reality	Empirical observation is the only valid knowledge
Post-positivism	Reality exists, but knowledge is approximate/certain fallible	Observation is theory-laden; science converges on truth (slowly)
Constructivism	Reality is socially constructed (multiple realities)	Knowledge is co-constructed (researcher + participants)

Worked example (our running study)

• Positivist framing: stress has an objective level (measured by a scale), and exercise causes a measurable change.
• Post-positivist framing: the scale is imperfect; results are provisional but repeatable.
• Constructivist framing: "stress" means different things to different students; we explore how they define it.

Case studies in research innovations

• CRISPR genome editing — interdisciplinary biology + chemistry + CS.
• mRNA vaccines — structural biology + lipid chemistry + immunology.
• Large Hadron Collider — particle physics + engineering + data science.
• AlphaFold — biology + deep learning + physics-inspired modelling.

These show how major advances now combine fields.

Interdisciplinary and transdisciplinary research

• Interdisciplinary: multiple disciplines collaborate on a shared problem (a computer scientist helps a biologist build a model).
• Transdisciplinary: disciplines integrate knowledge across boundaries to create new frameworks that transcend the originals (e.g., bioinformatics).

Important terms

Research, hypothesis, literature review, methodology, epistemology, ontology.

PDF-aligned additions

Objectives and characteristics of good research

Research objectives should be clear, specific, feasible, measurable, and related to the research problem. Good research is systematic, logical, empirical, replicable where appropriate, controlled where possible, and transparent about its assumptions and limitations.

Research philosophies

• Positivism: emphasizes observable measurement, objectivity, and testing.
• Post-positivism: accepts that measurements are imperfect and conclusions are provisional, while still valuing evidence and testing.
• Constructivism: emphasizes how people construct meaning in social and contextual settings.

The philosophy should fit the research question and method; it is not merely a label to add to a proposal.

Common mistakes

• Equating "research" with "any investigation" (academic research is systematic + controlled + replicable).
• Claiming absolute certainty (good research is tentative and revisable).
• Ignoring the philosophy behind your method (your choice of positivism vs constructivism drives your whole design).

Memory rules

• Systematic, Controlled, Empirical, Logical — the four pillars of good research.
• Positivism = one truth, observable; Constructivism = many truths, co-constructed.
• Basic = discover; Applied = solve.
• Qualitative = meaning; Quantitative = numbers.

Check your understanding

1. Name four characteristics of good research.
2. Which philosophy holds that reality is socially constructed?
3. Give one example each of basic and applied research.
4. What is the key difference between interdisciplinary and transdisciplinary work?

Answers

Reveal answers after attempting the questions

1. Systematic, controlled, empirical, (replicable/logical/ethical/cumulative).
2. Constructivism.
3. Basic: discovering a new particle. Applied: designing a drug. (Any valid pair.)
4. Interdisciplinary = disciplines collaborate on a shared problem; transdisciplinary = they integrate into new frameworks.

Quick revision box

• Research: systematic, controlled, empirical, logical, replicable, ethical.
• Types: basic (knowledge) vs applied (solve); quantitative (numbers) vs qualitative (meaning) vs mixed.
• History: Bacon (experiment) → Newton (math laws) → 20th c (statistics) → data science.
• Positivism (one truth, observation), post-positivism (approximate truth, fallible), constructivism (co-constructed reality).
• Interdisciplinary (collaborate) vs transdisciplinary (integrate across boundaries).

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.

---

↑ Semester I · Subject index · Next: Module 2 →