Correlation Flashcards

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1
Q

Correlation studies

A

Investigate whether there are relationships between different co-variables

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2
Q

Positive correlation

A

As one co-variable increases, so does the other

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3
Q

Negative correlation

A

As one co-variable increases, the other decreases

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4
Q

No correlation

A

There is no definite trend and the two co-variables don’t appear to be related to eachother

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5
Q

Co-variables

A

-The variables under analysis
-Called this because they are measured in relation to how they co-vary with each other

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6
Q

Research questions

A

A broad question about the concept being investigated
-Must end in a ‘?’

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7
Q

Research aims

A

-A more specific concept within the question that the researcher wants to investigate
-This will impact the research method used

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8
Q

Investigating a ‘relationship’

A

Leads to a correlation study

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9
Q

investigating ‘cause-and-effect’

A

Leads to an experiment of some form

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10
Q

Operationalising variables

A

-Any co-variable needs to be expressed as a number
-Each participant must have two separate (ordinal level) numbers that relate to them, one for each co-variable

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11
Q

Two-tailed correlational hypothesis

A

‘There will be a significant correlation between the co-variables x and y’

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12
Q

One-tailed correlational hypothesis

A

‘There will be a significant positive correlation between the co-variables x and y’
OR
‘There will be a significant negative correlation between the co-variables x and y’

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13
Q

Null correlational hypothesis

A

‘There will not be a significant correlation between the co-variables x and y; any relationship will be due to chance factors’

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14
Q

Primary data

A

Data gathered directly from participants by the researcher

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15
Q

Secondary data

A

Data that has been gathered by someone other than the researcher

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16
Q

Scatter graph

A

The most appropriate way to display results obtained from a correlation study

17
Q

Findings

A

-Relate to the raw data
-Eg: mean, median, mode

18
Q

Conclusions

A

-Relate to the broad inferences you can make from the raw data
-Eg: the direction and strength of the correlation