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Links between Variables - Causal - Association - Chance.
Scientists look at how changing
one variable affects another variable.
If a change in the independent variable alone
causes a change in a dependent
variable
then the link is said to be causal.
Causal means that a change in one variable
causes a change in another variable.
For example changing the velocity of a
car
changes its braking
distance.
Scientists try to identify causal links as these give
the clearest
information and can lead to a fair
test.
If a change in the independent variable
and a change
in another variable are both linked by a change in a
third
variable then the link is said to be due to association.
Association means that the changes are associated with
each
other.
For example, the rate of growth of a crop can
be affected by soil acidity. The amount of fertiliser used on
the crop will affect both the rate of growth and the soil acidity.
The information from links due to association is less clear
and therefore less useful than the information from causal
links.
If a change in the independent variable
and a change
in another variable are not
related at all
then the link is said to be due to chance occurrence.
Chance occurrence means that the two variables just
happen
to change in that way but one variable has
no effect on the
other.
For example, the number of emails
being sent and the number of cars being driven on the
road
have both increased in the last twenty years. The
information from links due to chance occurrence is
not valid.
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