A controlled experiment is one in which there is strict control exercised on variables, with typically one or more variables being changed or “manipulated” while all other variables remain the same. This is one of the hallmarks of many types of scientific inquiry. When a hypothesis is being tested, it won’t be tested as effectively if a huge number of variables exist. Trying to create an environment where the greatest numbers of variables are eliminated can help make test results more credible.

If someone wanted to examine plant response to a specific type of sound, there would be a way to create a controlled experiment and ways to quickly lose control. The person might get six plants and place each one in a different area of a house. They could then expose the plants to the sound at varying times of the day. It’s easy to see how many variables are at play. The plants aren’t in the same location, the sound isn’t being played at the same time of day, and the plants may not even be the same species.

In order to turn this into a controlled experiment, the person could do several things. They could make sure to purchase roughly the same size plant and definitely the same plant species. They could also keep all plants in the same location. This would mean other factors like different exposure to light wouldn’t corrupt results. The same sound would have to be played at the exact same time too.

Essentially the goal would be to make everything as similar as possible prior to beginning testing. This allows the researcher to manipulate a single variable, exposure to the sound, to determine what effect it might have on the plants. At the same time, the controlled experiment has to look at plant behavior without the exposure to the sound.

Therefore, a sample of plants as similar as possible to the first group would need to be kept in a near identical environment. This way, there is a basis for comparison between plant behavior when it is exposed to the sound, and plant behavior when it isn’t. A second group that is not exposed to the manipulated variable is often called a control group.

Conducting a controlled experiment can be very difficult. It’s easy to overlook a variable and fail to control it. What is especially challenging is attempting to study response in humans via a controlled experiment. Humans are variable; they come in different sizes, have different genetic markers and exhibit a wide variety of behaviors. For things like drug studies, scientists may need to look for people with similarities in age, health profile and in many other areas, so that results aren’t corrupted. They also need to find a similar group of people that will serve as a control group and not receive the drug or manipulated variable.