Correlations Flashcards

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1
Q

correlation

A

maths technique used to investigate an association between two variables
- requires quantitative data
- calculates correlation coefficient, which determines the strength and relationship between the variables

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2
Q

difference between correlations and experiments

A

variables are measured (not manipulated)
only an association is found (not cause and effect relationship)
doesn’t use terms IV and DV

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3
Q

negative correlation

A

when one variable increases, the other decreases
- scatter graph has negative gradient
- correlation coefficient is less than 0

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4
Q

positive correlation

A

when one variable increases, the other increases
- scatter graph has positive gradient
- correlation coefficient is more than 0

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5
Q

zero/no correlation

A

no relationship is found between the two variables
- scatter graph cannot have a line of best fit drawn bc random points
- correlation coefficient equals 0

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6
Q

curvilinear relationship

A

as one variable increases, the other increases until a point is reached when one variable continues to increase and the other decreases
- inverted U shape

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7
Q

hypothesis for correlational studies

A

directional hypothesis states whether there will be a negative or positive correlation between the variables
non-directional hypothesis states that there will be a correlation but the type is unknown

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8
Q

correlations: strength

A

measures strength of relation between variables
applicable to range of numerical data
identifies relationships for new lines of research
quick and economical

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9
Q

correlations: weakness

A

doesn’t produce a cause and effect relationship
extraneous variables not addressed
displays a relationship, but doesn’t explain
correlations can be misused or misinterpreted

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