Methods of Inquiry in Science

Observational/historical sciences (such as astronomy, geology and climatology) and experimental sciences (such as physics and chemistry) have fundamentally distinct methodologies (Cleland, 2002). In observational sciences, it is not possible to have an independent variable and a control variable with all other elements held constant. One must make targeted observations of nature as it is and attempt to find patterns and logic within those available data sets. In experimental sciences, one can set up a controlled experiment, frequently in a laboratory setting, which allows the researcher to investigate how changing a single variable affects the other aspects of the system being manipulated.

Both observational and experimental approaches to science are valid methodologies, despite the differences in their manner of data collection and analysis. Yet the educational establishment privileges experimental methods, coursework, and student experiences over observational ones (Gray, 2013). In particular, the NGSS Science Practices privilege approaches to scientific inquiry that align with experimental science methods and leave out observational science methods. An attempt to correct for some of this bias led to the writing of The Nature of Science standards, yet these standards are not readily advertised as part of the NGSS (Achieve, n.d.).

Everyone is familiar with using experiments in the classroom as a form of scientific inquiry, but this does not always work for all sciences. Gray (2013) proposes adding four additional methodologies beyond experiments: retrodiction, abduction, reasoning from analogy, and multiple working hypotheses. These are listed below with example as described by Gray. All of these methods, including experiment, work smoothly within the framework of the NGSS Science and Engineering Practices, despite those practices giving limited examples of non-experiment methods.

Science Methods

Experiment

Definition: Changing an aspect of a system to see if it produces change in another aspect of the system.

Example: Galileo varied the mass of falling objects to look for changes in their accelerations towards the ground.

Retrodiction

Definition: An inference about past events.

Example: Scientists tested the asteroid hypothesis by searching for impact debris, glass, shockwaves, tsunami debris, and an impact crater.

Abduction

Definition: A type of inference in which an explanatory hypothesis is generated.

Example: Darwin presented an extended argument for natural selection as the best hypothesis for explaining the available evidence.

Reasoning From Analogy

Definition: Utilizing present causes to explain similar events in the past.

Example: The reconstruction of the locomotion and behavior of extinct animals is based on similarities with extant animals.

Multiple Working Hypotheses

Definition: The process by which multiple possible hypotheses are generated and systematically compared against the evidence.

Example: Hypotheses to explain the extinction of the dinosaurs included random chance, a magnetic reversal, a nearby supernova, and volcanic activity, among others.

The methods set of retrodiction, abduction, reasoning from analogy, and multiple working hypotheses, as well as their definitions and examples, are used directly from Gray (2013).

References

  • Achieve. (n.d.). Next generation science standards. Retrieved November 8, 2020 from https://www.nextgenscience.org/

  • Cleland, C. (2002). Methodological and epistemic differences between historical science and experimental science. Philosophy of Science, 69(3), 474.

  • Gray, R. (2013). The distinction between experimental and historical sciences as a framework for improving classroom inquiry. Science Education, 98(2), 327-341.