Research Methods Fundamentals
This sub-cluster is the entry point for research methods as a field: the vocabulary and orientation that the more specific sub-clusters above build on. It covers what distinguishes a research question from a hypothesis, how methodology (the overall approach) differs from method (a specific technique), and how the choice of approach connects back to a study's research paradigm. Readers arriving here are typically looking for orientation rather than a specific technique — more detailed treatment of any given method is found in the corresponding specific sub-cluster.
Guides
Inclusion and Exclusion Criteria: How to Define Who Is in Your Study
A worksheet for drafting inclusion and exclusion criteria, worked examples for a clinical study and a survey study, and why over-tight criteria quietly destroy a study’s generalizability.
Exploratory Research: What It Is and When You Don’t Yet Know the Question
Exploratory research is what you run before you have a fixed research question, hypothesis, or defined variables. It clarifies a vague problem into something researchable rather than testing a claim.
Grey Literature: What Counts, Where to Find It, and When to Cite It
A practical guide to grey literature: what qualifies, a typology of preprints, theses, reports, standards and registries, where to search for it, and how to appraise and cite it responsibly.
Hypothesis vs. Theory: What the Difference Actually Is in Science
A hypothesis is a single, testable prediction. A theory is a broad, well-substantiated explanatory framework built from many tested hypotheses, facts, and laws. Includes worked examples across gravity, disease, and evolution.
Operationalization in Research: Turning a Concept Into a Measurable Variable
Operationalization is the process of converting an abstract construct into a concrete, measurable variable. This guide walks the full ladder from construct to conceptual definition to operational definition to indicator to measurement, with three worked examples and the pitfalls that make operationalizations fail.
What Is Empirical Research? Definition, Examples, and How to Identify It
Empirical research draws its conclusions from observed or collected data under a disclosed method, not from reasoning or anecdote alone — how to tell it apart from theoretical and anecdotal work, and how to spot an empirical article from its IMRaD structure.
Codebook: What It Is, What Goes in One, and How to Build One
What a codebook is in quantitative and qualitative research, what fields each type contains, and a step-by-step process for building one, with worked examples.
Research Question Examples: A Worked Bank by Design Type
A worked bank of research question examples across quantitative, qualitative, mixed-methods, and systematic-review designs, each shown weak-to-strong with PICO, PICo, SPIDER, PEO, and FINER applied.
The CRAAP Test and Evaluating Source Credibility in Research
How to apply the CRAAP test (Currency, Relevance, Authority, Accuracy, Purpose) to scholarly sources, where it falls short, and how lateral reading, SIFT, and AI-citation verification fill the gap.
Primary vs. Secondary Sources in Research: How to Tell the Difference
The primary/secondary distinction depends on your research question, not the document itself. A practical guide to classifying sources and data in the sciences, humanities, and social sciences, plus the citation-chain-decay hazard of citing a review for a specific empirical claim.
Data Collection Methods: A Complete Guide for Researchers
A complete reference to quantitative, qualitative, and mixed-methods data collection techniques, how to choose between them, and the ethics, consent, and data protection steps required before collection begins.
Note-Taking Methods for Research: Cornell, Zettelkasten, and Lab Notebooks
A practical comparison of note-taking methods for research work — reading and annotating papers, literature-review note systems, interview and fieldwork notes, and lab notebook practice.
How to Find and Choose a Research Topic
A decision method for finding a research topic and testing it — where real topics come from, the FINER viability criteria, how to confirm a topic isn’t already answered, and how to narrow broad interest into a specific, defensible topic.
Hypothesis: Definition, Types, and How to Write a Testable One
A hypothesis is a specific, testable, falsifiable prediction about the relationship between variables. Covers how it differs from a research question, aim, and theory; its main types (null/alternative, directional, simple/complex, associative/causal, statistical); falsifiability; operationalizing variables; and how hypotheses connect to significance testing and research integrity (HARKing, preregistration).
Research Approach: Definition, Types, and How to Choose One
“Approach of research” and “research approach” both point to the same underlying question a researcher has to answer early in any study: what overall strategy will connect the study’s guiding assumptions to the specific procedures used to collect and analyze data? A research approach is the broad plan for a study — whether it will […]
