Naturalistic Observation: Examples, Definition & Method

Naturalistic Observation: Examples, Definition & Method
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  • 0:32 Definition of…
  • 1:46 First Example
  • 2:52 Second Observation
  • 3:54 Third Example
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Lesson Transcript
Instructor: Ryan Hultzman
The media often shows scientists hard at work in labs, wearing lab coats as they practice science. However, one particular type of research method takes place outside the lab: naturalistic observation.

Introduction to Naturalistic Observation

Have you ever sat around watching people in public as they go about their lives? You could be doing science! Some forms of research require scientists and researchers to see how things function in their natural environment. Whether their interests lie in the behavior or people, animals, or other natural occurrences, this often involves getting out of the lab to see these things in their natural setting. This type of research is called naturalistic observation.

Definition of Naturalistic Observation

Naturalistic observation is research that involves studying the subject of interest in its own environment, as it would occur in day-to-day life. Researchers strive to not make changes to the environment, as such changes may influence the outcome of the study. Since the entire point of this method is to observe things as they occur naturally, such an outcome is not desired.

Before we go any further, let's discuss whether the methodology is qualitative or quantitative. Qualitative research catalogs and studies activities that cannot be broken down into numbers. An example of qualitative methods are interviews wherein a person's experiences are being examined. Quantitative methods catalog phenomena that can be best represented by numbers, such as chemistry or physics. Naturalistic observation is very often used for qualitative research, and some researchers take pages and pages of notes about something they observe for only a few seconds in the natural environment. However, naturalistic observation can involve quantitative research as well. For instance, it may be used in the case of measurements that are best made in an environment that cannot be reproduced in a lab. Let's go over a few specific examples to illustrate how naturalistic observation works.

First Example

The first example involves observing how many people come to a full and complete stop at stop signs. The setup for this observation is simple enough; a researcher observes how long people stop at a stop sign. The researcher tests under two conditions. Half the time, the researcher stands on an adjacent corner and is clearly taking notes, while the rest of the time the researcher is relatively hidden in a nearby building or vehicle.

Our first example is a typical sort of task that undergraduate researchers and students in experimental psychology courses are given as an early assignment. The task of recording complete stops is simple enough, and the student will generally note right away that there is a marked difference between the two experimental conditions. When drivers know they are being observed, many more of them will come to a complete stop at the stop sign. What the student learns early on is that people behave differently when they know they are being observed. Since the basis of naturalistic observation is to try and observe things as they occur naturally, one of the major concerns of researchers has to be observing in such a way that they do not interfere with the natural order of things.

Second Observation

Our second example of naturalistic observation is that of a geologist interested in the chemical contents of water in a particular set of caves. The geologist needs to test the pH of the water and how that acidity of the water is influenced by temperature. This is an example of quantitative measurement through naturalistic observation. Unlike dealing with people, chemicals do not behave differently when one observes them. However, there are still potential design issues.

Contamination is a major concern in both qualitative and quantitative research. Contamination is a change to either the environment or the test results as a consequence of the researcher's presence. It can come from anything introduced into the mix that is not normally there. What constitutes contamination depends in large part on what is being collected. For quantitative research, contamination may be a result of chemicals or objects not normally in the environment. One aspect of good research design is that it takes into account ways to keep the setting safe from such issues.

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