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RESEARCH METHODS
OTHER
CORRELATIONS
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Created by
sophia taylor
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Cards (15)
Correlation
Not a
research method
, rather an analysis of the relationship between
co-variables
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Correlational research
1. Variables are not
manipulated
2. Two co-variables are
measured
and compared to look for a relationship
3. One or both co-variables may be
pre-existing
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Scattergraph
A plot of the
two
scores for each participant as
one
point
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Scattergraph outcomes
Positive
correlation: One co-variable
increases
as does the other
Negative correlation: One co-variable
increases
while the other
decreases
Zero
correlation: No relationship between the
variables
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Correlation coefficient
Represents the direction and strength of the relationship between co-variables, expressed as a value between
-1
and
+1
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A perfect
positive
correlation would be expressed as
+1
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A perfect
negative
correlation would be expressed as
-1
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No relationship would be expressed as
0
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Correlation coefficient
descriptions
Weak
,
moderate
or strong
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Strengths of Correlational Analysis
They are able to show
relationships
between
variables
The data may be easily available for researchers to quickly
analyse
Allows
predictions
to be made when looking at the
relationships
between co-variables
Due to the data being
readily available
, there are unlikely to be any
ethical
issues
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Limitations of Correlational Analysis
They do not show
causation
Extraneous
relationships with other variables may affect the co-variables and the outcome
Correlations work well for
linear
relationships but are less successful when dealing with
non-linear
relationships
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Experiments
Involve deliberate manipulation of the
independent
variable to measure the impact on the
dependent
variable
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Correlations
There is no deliberate
manipulation
of any variables, both variables may impact each other and we measure the
degree
to which this happens
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Correlation
does not always mean
causation
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Neither experiments nor correlations are better or worse, it depends on the
context
and
situation
being investigated
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