Skip to main content icon/video/no-internet

Scientific Method

Science is the modern name for what used to be called natural philosophy. Science comprises just those ideas and concepts that can be tested by third parties. The hypothesis that objects of different weights all fall at the same speed is scientific; the idea that there is an afterlife, inaccessible to the living, is not. The many ways in which we can arrive at and evaluate scientific ideas are collectively termed the scientific method.

Scientific ideas can come from thoughtful observation or via experiment. Experiments may be designed to test a theory (hypothetico-deductive), or they may be simply exploratory “what if?” attempts to satisfy natural curiosity. Hypothetico-deductive experiment involves answering questions of the form “If I do X will I get Y?” Nonexperimental, inductive, science infers some general rule from a set of observations: All the swans I know are white, ergo, swans are all white. In practice, these divisions can be arbitrary. Scientific method is not an algorithm; it is not a recipe or a decision tree. There is no “gold standard” that can guarantee scientific advance. This entry further discusses the inductive, deductive, and experimental methods and provides examples illustrating each.

Inductive and Deductive Methods

Inductive reasoning uses specific instances to infer general principles, whereas deductive reasoning derives specific conclusions from one or more premises or axioms. Inductive reasoning takes many forms, but a popular inductive approach comes up with a generalization based on a set of observations. An historical example of this method is the investigation by physician John Snow of the 1854 outbreak of cholera in London, which killed hundreds in a few weeks. Many explanations were offered for this outbreak. No one really understood how diseases spread, as the germ theory of disease had yet to be proposed (that happened after 1860 with Louis Pasteur’s study of puerperal fever). The prevailing view was something called the miasma theory, which held that “noxious exhalations” from swamps and like places somehow cause disease.

In those days, there was no domestic water supply. People got their water from hand pumps scattered across the city. The pumps had different sources—local wells or piped from the river Thames or one of its tributaries. Snow did not believe in the miasma theory and sought another explanation for the spread of the disease. He looked at where cases of cholera had occurred. He noticed that almost all of them were clustered within walking distance of a particular hand pump in Broad Street. This allowed him to come up with a hypothesis, that the water from the Broad Street pump is contaminated in some way that causes cholera. The hypothesis suggested an obvious experimental test: Remove the handle from the Broad Street pump so that no water can be obtained from it. Snow managed to persuade the local council to disable the pump. His hypothesis was confirmed: The incidence of cholera dropped dramatically, proving (without the aid of statistics) that the pump was the source of the disease.

Snow’s experiment is what is called an AB design: Two conditions/treatments are applied in succession—handle/no-handle. In a laboratory context, both conditions would normally be repeated, ABAB, just to be sure that B really has the predicted effect. In Snow’s case, this was both unnecessary (the effect of removing the handle was large) and unethical (restoring the handle might have caused more deaths)—and in any case, his main purpose was to improve public health rather than advance knowledge.

...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles

Sage Recommends

We found other relevant content for you on other Sage platforms.

Loading