The scientific method forms the foundation of the collective knowledge of the world around us. It is how researchers figure out what is likely true in nature. A scientific method experiment begins with a hypothesis, which is an informed opinion that explains why certain things occur the way they do. In science, hypotheses lead to predictions. These are measurable events that occur during an experiment if the hypothesis is true. The most significant components of the scientific method include hypotheses, dependent and independent variables, constant variables and control groups.
TL;DR (Too Long; Didn't Read)
A constant variable is an aspect of an experiment that a scientist or researcher keeps unchanged. There can be more than one constant in an experiment.
Through rigorous experimentation and corroboration, which requires other scientists to duplicate the same result as the first, a scientist's hypothesis is either confirmed or proven incorrect. While many people think of only men and women in white lab coats using the scientific method, it is an intuitive process. If you've ever asked yourself whether something is true or why something is the way it is—why is the sky blue?—you've performed the first step of the scientific method.
Why the Scientific Method Is Important
There is a good reason teachers introduce the scientific method early in a science class. It's the most important fundamental tool of science. Without the scientific method, there would be no way for scientists to agree on what is likely true and what is not.
The term "science" comes from the Latin word for "knowing." The scientific method is the process used to know that a new idea is valid. The confirmation of these new ideas has both theoretical and practical implications. For example, they can increase our knowledge of the universe and how it works. New ideas can lead to the development of inventions that change how people live.
There are three types of variables used in scientific experiments: constant, independent and dependent.
What Is a Constant in the Scientific Method?
A constant variable is any aspect of an experiment that a researcher intentionally keeps unchanged throughout an experiment.
Experiments are always testing for measurable change, which is the dependent variable. You can also think of a dependent variable as the result obtained from an experiment. It is dependent on the change that occurs. Scientists introduce an independent variable to an experiment to create a change in the dependent variable. There can only be one independent variable in each experiment, but there will normally be many constant variables.
To illustrate a constant variable by looking at an example, let's say a new drug comes out that claims to make it easier to lose weight. Each scientific experiment can only focus on one independent variable or make one change at a time. If researchers gave a group of people this new drug and also increased the amount of exercise each person in the study did, it would complicate the picture. Scientists wouldn't be able to tell whether the pill or the exercise was responsible for any changes in weight, the dependent variable.
To ensure that only one independent variable exists, everything else is held constant. So, the constant variables in this experiment investigating the effects of the diet pill would be variables like the number of calories consumed by each participant, the amount of exercise they get, how much sleep they receive, etc. The constants are all the other aspects that are held the same for each participant.
Difference Between a Control and a Constant
You may think that a constant is the same thing as a control, but there is a difference. A control is specifically set aside without any changes to give the researcher an objective picture of any changes in the independent variable. For studies of drugs, a placebo is the control. A person is not told whether they're taking a diet pill or a placebo. A control negates the possible effects of persons believing they are taking diet pills when they are not.
When using the experimental method, it is critical to understand which variables are constants and which are controls. This helps to ensure any changes to the dependent variable are a result of the independent variable alone.