Foundations of Research

Every research study — whether a clinical trial, an ethnographic fieldwork, or a corporate survey — is built on a set of philosophical assumptions about the nature of reality, the nature of knowledge, and the relationship between the researcher and the research subject. These assumptions are not optional: they exist whether you acknowledge them or not. Naming them is what separates rigorous scholarship from unreflective data collection.

The Three Core Philosophical Questions

Before choosing a research methodology, every researcher must — consciously or not — answer three foundational questions:

The Four Major Research Paradigms

A paradigm is a shared set of beliefs and assumptions within a research community about what is worth studying, what constitutes valid knowledge, and how to conduct inquiry. The four paradigms below cover the vast majority of academic research conducted today.

How Paradigms Connect to Methodology

The diagram below illustrates the logical chain from philosophical worldview to data collection method. This chain — called the research onion (Saunders, Lewis & Thornhill) or the research framework (Creswell) — must be internally consistent in your thesis proposal.

Research ethics is not a bureaucratic hurdle — it is the moral infrastructure of academic inquiry. Every methodological decision you make has an ethical dimension: who participates, what risks they are exposed to, how their data is used, and who benefits. This lesson covers the frameworks, principles, and practical requirements every researcher must understand before submitting an ethics application.

The Six Core Principles of Research Ethics

Ethics for Vulnerable Populations

Additional ethical protections apply when your research involves populations whose capacity to give fully informed, voluntary consent may be limited or compromised.

Academic Integrity: Misconduct Defined

Research misconduct encompasses a spectrum of practices that violate the norms of honest, transparent scholarship. Understanding the definitions is essential — not just to avoid misconduct, but to recognise it when you encounter it in published literature.

• Fabrication — making up data or results and reporting them as if they were real
• Falsification — manipulating research materials, equipment, or processes; or changing or omitting data such that the research is not accurately represented
• Plagiarism — presenting someone else's work or ideas as your own, without attribution
• Selective reporting (p-hacking) — running multiple analyses and only reporting those that achieve statistical significance
• HARKing — Hypothesising After Results are Known; presenting post-hoc hypotheses as if they were pre-registered
• Duplicate publication — publishing the same study in multiple journals without disclosure
• Ghost authorship / gift authorship — omitting real contributors or including non-contributors as authors

The literature review is, without exception, the most misunderstood section of a thesis. The majority of students write an annotated bibliography — a series of summaries of individual papers. This is not a literature review. A literature review is a critical, synthesised argument about the state of knowledge on your research topic, designed to establish the intellectual gap your study will fill.

Types of Literature Reviews

Different research contexts require different types of literature reviews. Selecting the appropriate type is itself a methodological decision.

How to Critically Synthesise Literature

The word critical in "critical synthesis" does not mean finding fault. It means evaluating the quality, relevance, and contribution of each source, and then constructing an argument about what the collected sources — taken together — reveal.

Step 1 — Map the Landscape

Before writing, build a synthesis matrix: rows are your sources; columns are your themes. Populate each cell with the source's position on that theme. This reveals patterns, consensus, and disagreement at a glance.

Step 2 — Identify the Conversations

Academic literature is a multi-decade conversation. Identify the key debates: Where do scholars agree? Where do they disagree? Who is talking to whom? Which studies built on, contradicted, or extended which prior work?

Step 3 — Evaluate Quality and Recency

Not all sources are equal. Peer-reviewed journal articles carry more evidential weight than textbooks, opinion pieces, or grey literature. For rapidly evolving fields, prioritise sources from the last 5–7 years; for foundational theory, seminal works may be decades old. Apply a quality appraisal framework (CASP, JBI) for systematic reviews.

Step 4 — Identify the Gap

The most important sentence in your literature review is the one that names the specific, unfilled space in the literature that your study will occupy. This is the research gap. It must be: (a) genuinely present in the literature, (b) important enough to warrant a study, and (c) addressable by your proposed methodology.

Source Selection and Database Strategy

A defensible literature review requires a transparent search strategy. For a thesis proposal, you should search at minimum:

• Multidisciplinary databases: Web of Science, Scopus, Google Scholar
• Discipline-specific databases: PsycINFO (psychology), CINAHL (nursing), ERIC (education), PubMed (medicine), JSTOR (humanities), EconLit (economics)
• Grey literature: WHO, World Bank, government reports, institutional repositories (for some disciplines)

Document your search strategy: the databases searched, search terms used, Boolean operators applied, date range filters, and inclusion/exclusion criteria. This documentation belongs in Chapter 2 for narrative reviews and in a dedicated methodology appendix for systematic reviews.

A research problem is not simply a topic of interest or a broad area of inquiry. It is a specific, identifiable discrepancy between what is known and what needs to be known — or between what exists and what should exist — that justifies a formal investigation. Identifying and articulating this discrepancy with precision is one of the most intellectually demanding tasks in the entire research process.

Sources of Research Problems

Research problems typically emerge from one of five sources. Understanding these helps you identify and justify problems in your own field:

Anatomy of a Research Problem Statement

A well-constructed problem statement accomplishes three things in a logical sequence. Every sentence should contribute to one of these three functions:

Function 1 — Establish the Context

Situate the problem within the broader field or real-world context using current, empirical evidence. Quantify the problem where possible. Avoid vague or self-evident statements ("Education is important for society").

Function 2 — Identify the Specific Gap or Tension

Name precisely what is missing, unresolved, or contradicted in the existing literature or practice. This is the pivot point of the entire proposal. It must be specific enough to be addressable in a single study.

Function 3 — State the Consequence of the Gap

Explain why the gap matters — what is at stake practically, theoretically, or socially if it remains unaddressed. This justifies the study's significance.

From Problem to Research Questions

Research questions operationalise your research problem. They translate the abstract gap in the literature into concrete, answerable inquiries. The quality of your research questions determines the quality of your entire study — they drive your methodology, your data collection instruments, your analysis, and your conclusions.

Characteristics of Good Research Questions

• Specific: narrow enough to be answered by a single study of manageable scope
• Researchable: answerable through the collection and analysis of data (not moral or values-based)
• Significant: the answer would genuinely advance knowledge or practice
• Ethical: the study can be conducted without causing undue harm
• Aligned: each question links directly to an objective, a data collection instrument, and an analysis method

Research Questions vs. Hypotheses

Quantitative studies typically state both research questions and hypotheses. A hypothesis is a specific, testable prediction about the relationship between two or more variables, stated before data collection. Hypotheses are tested statistically and are either supported or not supported — never "proven." Qualitative studies use research questions only, not hypotheses.