Is there a single method that makes inquiry scientific, and how do observation, hypothesis and experiment fit together?
Characterise the scientific method, contrasting inductivist and hypothetico-deductive accounts, and assess whether a single method defines science
A focused answer on the scientific method. The inductivist picture, the hypothetico-deductive model, the roles of observation, hypothesis, prediction and testing, and whether any single method captures what makes inquiry scientific.
Reviewed by: AI editorial process; not yet individually human-reviewed
Have a quick question? Jump to the Q&A page
Jump to a section
What this dot point is asking
SEAB wants you to characterise the scientific method and to ask the harder question of whether any single method defines what makes inquiry scientific. Science is our most successful knowledge-producing enterprise, so understanding how it works, and whether it works by one method or many, is central to the philosophy-of-science strand. Your task is to contrast the main models of method and to weigh the claim that there is one method that demarcates science.
The answer
The inductivist picture
The traditional picture, often called naive inductivism, holds that science proceeds in stages: scientists observe the world without prejudice, collect a large body of data, and then generalise inductively to laws and theories that the data support. On this view, theory is built up from neutral observation, and the more confirming instances accumulate, the more secure the theory. It is an appealing image of science as careful, bottom-up fact-gathering.
Why naive inductivism fails
Two problems undermine it. First, observation is never theory-free: what a scientist notices and records depends on the concepts, instruments and expectations they bring, so there is no stage of pure, prejudice-free data collection. Second, induction itself cannot be justified without circularity, which is the problem of induction: no number of confirming instances logically guarantees the next case, and arguing that induction works because it has worked before is itself an inductive argument. So science cannot rest on a foundation of pure data plus induction.
The hypothetico-deductive model
A more accurate model is hypothetico-deductive. Science begins not with data but with a hypothesis, however it is conceived (guess, analogy, inspiration). From the hypothesis, together with auxiliary assumptions, the scientist deduces observable predictions. These predictions are then tested by experiment or observation. If they hold, the hypothesis is corroborated and retained; if they fail, it is revised or rejected. The genius of the model is that the origin of a hypothesis is irrelevant to its scientific standing; only its testable consequences matter.
The asymmetry of confirmation and refutation
The hypothetico-deductive model carries a logical asymmetry. A successful prediction only supports a hypothesis, it does not prove it, because the prediction could be true while the hypothesis is false (this is the affirming-the-consequent point from the reasoning area). A failed prediction, by contrast, can in principle refute a hypothesis by modus tollens. So tests can refute more decisively than they confirm, an asymmetry that Popper will build a whole philosophy upon. But refutation is not perfectly clean either, because a failed prediction may be blamed on an auxiliary assumption rather than the core hypothesis (the Duhem problem).
Is there a single method?
Whether one method demarcates science is contested. Popper proposes falsifiability as the criterion: a theory is scientific if it forbids something observable and so could be refuted. Kuhn replies that real science is governed by paradigms and the puzzle-solving of normal science, not by a timeless method, and that scientists do not abandon a paradigm at the first refutation. A defensible position is that science is unified not by one rigid algorithm but by a cluster of methodological virtues, testability, openness to evidence, control of variables, intersubjective checking, so "the scientific method" names a family rather than a single rule.
Examples in context
Example 1. A drug trial. To test whether a drug works, researchers do not simply gather cases of recovery; they hypothesise an effect, predict that a treated group will outperform a placebo control, and run a randomised trial. The design controls variables so that any difference can be attributed to the drug. This is the hypothetico-deductive method made concrete, and it shows why a passed trial corroborates without proving, since the result is consistent with other explanations.
Example 2. The discovery of Neptune. Astronomers found that Uranus deviated from its predicted orbit. Rather than abandon Newtonian mechanics at once, they posited an unseen planet (an auxiliary hypothesis) whose gravity would explain the deviation, and Neptune was duly found. The episode shows the Duhem problem in action: an anomaly can be met by adjusting an auxiliary assumption rather than rejecting the core theory, which complicates any simple story of refutation.
Try this
Q1. State two reasons why naive inductivism is an inadequate account of scientific method. [6 marks]
- Cue. Observation is theory-laden (no prejudice-free data stage), and induction cannot be justified without circularity (the problem of induction), so science cannot be built up from pure data.
Q2. Describe the stages of the hypothetico-deductive method. [6 marks]
- Cue. Propose a hypothesis (any origin); deduce observable predictions with auxiliary assumptions; test them; corroborate and retain the hypothesis if predictions hold, or revise or reject it if they fail.
Q3. Explain the asymmetry between confirming and refuting a scientific hypothesis. [8 marks]
- Cue. A passed prediction only supports the hypothesis (affirming the consequent), so it cannot prove it; a failed prediction can refute it by modus tollens, though the Duhem problem means the fault may lie in an auxiliary assumption.
Exam-style practice questions
Practice questions written in the style of SEAB exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
Original20 marksIs there a single scientific method that distinguishes science from non-science? Discuss.Show worked answer →
A strong answer sets out two candidate accounts. The inductivist picture: science begins with unprejudiced observation, accumulates data, and generalises to laws by induction. The hypothetico-deductive model: science begins with a hypothesis (however it is dreamt up), deduces testable predictions from it, and tests them by observation and experiment, retaining the hypothesis while it survives and revising it when predictions fail.
Argue against naive inductivism: observation is never theory-free, since what we record depends on the concepts and expectations we bring; and induction cannot be justified non-circularly (the problem of induction). So science does not start from pure data.
Defend the hypothetico-deductive model as more accurate, while noting its limits: confirming a prediction only supports a hypothesis, it does not prove it (affirming the consequent), and a failed prediction can be blamed on auxiliary assumptions rather than the core hypothesis.
Address the unity question: Popper offers falsifiability as the mark of science; Kuhn replies that real science is governed by paradigms and normal puzzle-solving, not a timeless method. A defensible judgement: there is a family of methodological virtues (testability, openness to evidence, control of variables) rather than one rigid algorithm, so "the scientific method" is better seen as a cluster than a single rule. Markers reward both models, the theory-ladenness and induction points, and a decided view on the unity question.
Original12 marksExplain the hypothetico-deductive model of science and one limitation of it.Show worked answer →
The expected answer describes the model as a cycle: formulate a hypothesis, deduce observable predictions from it (often with auxiliary assumptions), test those predictions by experiment or observation, and then either corroborate the hypothesis (if predictions hold) or revise or reject it (if they fail). Crucially, the source of the hypothesis does not matter; only its testable consequences do.
Give a worked illustration: from the hypothesis that a medicine lowers blood pressure, deduce that treated patients should show lower readings than an untreated control group, then run the trial.
State a limitation. Strongest options: (1) confirmation is logically weak, since a true prediction is consistent with the hypothesis being false (the affirming-the-consequent point), so the model can corroborate but not prove; (2) the Duhem problem, that a failed prediction does not tell us whether the core hypothesis or an auxiliary assumption is at fault, so falsification is not clean.
Judgement-style close: the model captures testing better than inductivism but inherits the asymmetry that tests can refute more decisively than they confirm. Markers reward the cycle, the irrelevance of the hypothesis's origin, a clear example, and one well-explained limitation.
Related dot points
- Explain Hume's problem of induction and the new riddle of induction, and assess the main responses including pragmatic, probabilistic and Popperian replies
A focused answer on the problem of induction. Hume's argument that inductive inference cannot be justified non-circularly, Goodman's new riddle, and the main responses: pragmatic vindication, probabilistic accounts, and Popper's rejection of induction.
- Explain Popper's falsificationism as a solution to the demarcation problem and assess its strengths and weaknesses, including the Duhem-Quine challenge
A focused answer on Popper's falsificationism. The demarcation problem, why Popper rejects verification for falsifiability, conjecture and refutation, corroboration, and the main objections including the Duhem-Quine problem and naive versus sophisticated falsificationism.
- Explain Kuhn's account of paradigms, normal and revolutionary science, and incommensurability, and assess what it implies for scientific objectivity and progress
A focused answer on Kuhn's philosophy of science. Paradigms, normal science and puzzle-solving, anomalies and crisis, revolutionary paradigm shifts, incommensurability, and the challenge this poses to a cumulative, fully objective picture of science.
- Explain the theory-ladenness of observation and the role of models and idealisation in science, and assess their implications for objectivity
A focused answer on models and the theory-ladenness of observation. Why observation is not a neutral given, how idealised models represent the world, and whether these features undermine or are compatible with scientific objectivity.