(from
Wikipedia)
A linearized, pragmatic scheme of the
four points above is sometimes offered as a guideline for proceeding:[24]
1. Define the question
2. Gather information and resources (observe)
3. Form hypothesis
4. Perform experiment and collect data
5. Analyze data
6. Interpret data and draw conclusions that serve as a starting point for new hypothesis
7. Publish results
8. Retest (frequently done by other scientists)
The iterative cycle inherent in this step-by-step methodology goes from point 3 to 6 back to 3 again.
While this schema outlines a typical hypothesis/testing method, it should also be noted that a number of philosophers, historians and sociologists of science (perhaps most notably Paul Feyerabend) claim that such descriptions of scientific method have little relation to the ways science is actually practiced.
The "operational" model combines the concepts of factory-style processing, operational definition, and utility:
The essential elements of a scientific method are operations, observations, models, and a utility function for evaluating models.
* Operation - Some action done to the system being investigated
* Observation - What happens when the operation is done to the system
* Model - A fact, hypothesis, theory, or the phenomenon itself at a certain moment
* Utility Function - A measure of the usefulness of the model to explain, predict, and control, and of the cost of use of it. One of the elements of any scientific utility function is the refutability of the model. Another is its simplicity, on the Principle of Parsimony also known as Occam's Razor.