A. Discuss the
relationship between “independent” and “dependent”
variables. Give one specific example.
A “dependent” variable is “the outcome you are trying to
explain” (Conley, 2017, p. 52). In other words, the dependent variable is the
outcome. The independent variable causes the change to happen, it changes the
different factors that will allow the effects on the dependent variable. The
relationship between them is that they cannot work without one another. Since
the dependent variable is the effect, then the independent variable needs to
provide the starting point.
A basic example of this is, science. The independent
variable could be the type of paper airplane. The type of airplane has
different factors which are the types of airplane, such as one made out of news
paper vs. one made out of print paper. At the end when those airplanes will be
tested everyone will be able to see which one will go farther. How far the
paper airplane will fly is the dependent variable. They are both connected and
one shows the cause and the other shows the effect.
B. What is a
correlation? Further discuss “positive” and “negative”
correlations (Note: this requires your own research efforts outside the text)
A correlation is a connection between two things, this
connection can either be a strong connection or a weak connection. What tends
to happen in positive correlation is if something is decreasing then another thing
is also decreasing. In contradiction, the negative correlation is when the two “things”
act in opposite of one another. This means that if one decreases the other increases
instead. This is something we learned in General Psychology. The positive and
negative correlations are mostly represented with a -1.00 and a +1.00. For
example, if the factor is at -.95, it means that it has a very strong negative
correlation to something, because it is closer to 1.
An example of positive correlation can be that there is a
+.83 correlations between a person smoking and them using drugs. If it is
positive and closer to one, it means that it is a strong correlation of
increase. Since the use of smoking increases the use of drugs increases as
An example of negative correlation is quite the opposite. If
there is a – .14 correlation between a person smoking and them using drugs it
will mean that there is a weak connection between them. Also, that since one
increases the other will decrease. Let’s say that a persons smoking increases,
it means that with negative correlation, their drug use will decrease.