Independent Variable Definitions – Independent variables are stand-alone research variables and are not affected by anything. The researcher has complete control over which independent variables he chooses. During experiments, researchers typically select independent variables that they think will affect dependent variables, i.e. Variables that can be changed by outside factors.
If a variable is classified as a control variable, it may be considered to change an independent variable or dependent variable, but that is not the focus of the experiment.
For example, researchers wanted to know how calorie intake affects weight. Calorie intake is your independent variable and weight is your dependent variable. You can choose the calories given to participants, and you see how those independent variables affect weight.
You may decide to include age control variables in your research to see if it affects the results.
Independent Variable Definition
Independent variables are as the name suggests, which are stand-alone variables that do not require and cannot be changed by other variables measured or researched by researchers.
For example, people’s age is independent variable. Other factors such as what their hobbies are like, what they will eat will certainly have no effect and cannot change the age of the person.
The independent variables in experiments are variables that vary with experiments. A person conducting the research will choose a free variable based on the research hypothesis or idea they will test. Researchers will believe that the freely selected variables may affect the process studied.
In the simplest case, the independent variable has only two values: one for experimental conditions and the other for control conditions.
Subjects under experimental conditions will receive experimental treatment. Subjects in control conditions will not receive experimental treatment. Where such control conditions are useful to compare the effects of what is done in such experiments.
Free variables are also a series of factors that can be manipulated by the research institute and will produce one or two more results that are usually called bound or dependent variables.
It can also be said that free variables are variables whose variations are not dependent on variations from other variables in experiments or research projects. These independent variables are controlled and altered only by the researchers.
Independent variable definition according to experts
The definition of independent variables according to experts, among others:
Simple English Wikipedia
Independent variables are variables we choose and manipulations to affect bound variables, although in some cases, we may not be able to manipulate independent variables.
For example, we want to know how stress affects heart rate in humans. Variable free in this case stress and its bound variables are heart rate. We can directly manipulate stress levels in humans that are the object of our research, then we measure how those stress levels can change the heart rate.
Independent variable definition according to NCES Kids’ Zone
Independent variables are stand-alone variables and are not altered by other variables that we are trying to measure. For example, a person’s age may be an independent variable. Other factors (such as what they eat, how long it takes to go to school, how many television shows they watch) will not change a person’s age.
Independent variables can be interpreted as variables that are altered or controlled in a scientific experiment. Independent variables represent the cause or reason for an outcome.
An independent variable is a variable that was changed in an experiment to test its dependent variables. Changes in independent variables will cause changes in the variables to be bound directly. Effects on bound variables are measured and recorded.
An independent variable is a factor or phenomenon that causes or affects other related factors or phenomena called dependent variables.
Last Updated on January 22, 2021 Reviewed by Market Health Beauty Team