# Guide on Dependent Confounding and Independent Variable

To identify different values Variables are used as the characteristics in the research. These
types of a variable can be age, species, height, or can be exam scores, etc. The students used
to study the effect of one variable on the other in scientific research. In this type of study, the
dependent and independent variables are used to determine the effect on the relationship with
its cause.

What the Independent variable means:

In a psychology experiment, an independent variable is regarded as a characteristic feature,
and not by other variables in the investigation don’t manipulate it. It is mostly manipulated by
researchers this experiment is considered to look at the studies&#39; test scores effects. In the
experiments, the examiners used to find out the changes that happened that can result due to
the independent variable depending on the dependent variable. Often students have a hard
time finding the independent variable. An Independent is a variable that behaves like alone
doesn’t depend on others and it does not influence by any of the variables of the experiment.
The independent variable is the effective variable where as the dependent variable is not
affected by the other variable.

What the Dependent variable means:
It is static the variable that is tested as well as measured in the psychology experiment.
In experiments, it is determined the effect of the independent variable on the dependent
variable the researchers. It is called the dependent variable because its value depends on the
the independent variable that are static.

Examples of the Dependent and Independent variables:
Psychology experiments are used to determine the understanding of the variable that is used
in the experiments. Students are often perplexed, and in turn, the whole experiments turn wrong. However, to ease your pain, here are some independent and dependent variable examples.
Students often find it hard to understand this variable which in turn wrongs all the
experiment. When this type of assignment is given to the student it becomes hard for them to
complete it. That is why they required the assignment helper service provider. To make ease
the student’s work here are some examples of dependent and independent variables.
1. The experiment where how the sleep pattern of the students impacts their scores on
the exam. This experiment is an example of an independent variable. Where the amount of
time spent by the students spent is regarded as the variable that impacts the scores on the
exam of students. This is the variable that changes which is why it is regarded as the
dependent variable.
2. Another experimental example is, comparing the different brands of towels and
identifying the difference between them to see which towel soaks more amounts of water and
which one does not. Again, it is regarded as a dependent variable because its value will be
depended on the amount of water-soaked in the towel.
3. Another experiment can be to determine appetite effects due to caffeine. Here it is the
caffeine is present or absent is regarded as the independent variable but hunger which is the
emotion is regarded as the dependent variable as it depends on the presence of the caffeine.

Difference between Independent VS Dependent Variable.

It is the theoretical concept to determine the dependent and independent variables in the
experiment. Variables are the attributes that are regarded as the attributes that are used in the
experiments. Let’s figure out the difference between both the variable after understanding
their meanings some of the differences are:
1. The independent variable is not dependent on the other variable whereas the
dependent variable is dependable.
2. The Independent variable is used as the cause where as the dependent variable
resulted as the cause.

3. Dependent variables are predictable values where as the independent variable are the
predictors.
4. Dependent variables are represented in the vertical column and independent variables
are presented in the horizontal column in the graph