Correlation Flashcards

1
Q

What is a correlation?

A

It assesses the degree to which scores on two variables co-relate

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2
Q

What is the correlation coefficient?

A

r provides an index of the extent to which two variables are linearly correlated

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3
Q

What is a scatterplot?

A

A graph of respondent’s scores on one variable plotted against their scores on a second variable

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4
Q

What is one problem that might be encountered in a Pearson’s correlation?

A

Things are measured on different scales so it is difficult to look at how they co-relate if you just look at the raw scores
Need to standardise the distributions (Z scores) - how many SDs above or below the mean any value is
Makes it easier to compare

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5
Q

What do you need from the SPSS output?

A

r score
p score
df = N - 2

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6
Q

How do you report the results of a correlation?

A

There was a significant positive correlation between X and Y, r(df) = [r score], p = [p value], such that those with more _____ held more _____.

If there are multiple correlations, report the results in a table

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7
Q

What are the assumptions underlying Pearson’s correlation coefficient?

A
  1. The two variables must be measured on interval scales
  2. The two variables must be linearly related

If violated a non-parametric correlation should be used which uses ranked scores

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8
Q

When can a Spearman’s Rank correlation coefficient be used?

A

When the scatterplot indicates that the relationship is monotonic, but non-linear (and when there are outliers)

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9
Q

What would happen if a Pearson’s correlation was used on a non-linear relationship?

A

It would underestimate the strength of the relationship by trying to draw a straight line.

When you rank the scores it creates a linear relationship getting rid of the curves.

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10
Q

What happens in non-monotonic relationships?

A

The ranked scores would change them into V shapes, but you can’t run correlation on these relationships

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11
Q

How might outliers affect the relationship?

A

By ranking the scores it brings the outliers in, so that the correlation doesn’t overestimate the strength of the relationship

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12
Q

How would you report a Spearman’s Rho?

A

You still have to work out df (N - 2)

Due to the presence of two outliers, the strength of the relationship between X and Y was tested using Spearman’s rank correlation coefficient. There was a significant positive correlation, rs(df) = [r value], p = [p value], such that those with more _____ held more _____.

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13
Q

When is a partial correlation used?

A

When you want to control for the effect of a third variable

It measures the strength and direction of a linear relationship between two continuous variables whilst controlling for the effect of a third continuous variable

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14
Q

How would you report a partial correlation?

A

A partial correlation was conducted to test the strength of the relationship between X and Y after controlling for the effect of Z. A significant positive correlation was found between X and Y, r(df) = [r value], p = [p value], whilst controlling for Z.

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