Correlations Flashcards

1
Q

A correlation assesses

A

The degree to which two variables co-relate

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2
Q

Correlation coefficient (r) provides

A

Index of the extent to which two variables are linearly correlated

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3
Q

What values do we look at in the output for a Pearson’s correlation?

A

R (the correlation)
Sig. (P)
N

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4
Q

Degrees of freedom is calculated by

A

N - 2

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5
Q

Pearson’s correlated makes two assumptions

A
  1. Variables measured on continuous scale

2. Variables are linearly related

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6
Q

If Pearson’s assumptions are violated, a ____________ should be used

A

Non-parametric correlation

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7
Q

If Pearson’s assumptions are violated, a non-parametric correlation should be used which uses

A

Ranked scores

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8
Q

Example of a non-parametric correlation

A

Spearman’s Rho

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9
Q

A correlation can tell us the ______ of the relationship between two variables

A

Strength

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10
Q

The coefficient is denoted as _

A

R

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11
Q

Correlation values can range from ___ to ___

A

-1 to +1

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12
Q

In the table for partial correlations, the df are listed, so do not…

A

Take 2 off the value

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13
Q

How many degrees of freedom do you report for a correlation? 1 or 2

A

1

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14
Q

How do you calculate degrees of freedom for a standard Pearson’s correlation?

A

N-2

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15
Q

How do you calculate degrees of freedom for a partial correlation?

A

N (do not take any away)

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16
Q

For a Pearson’s correlation it doesn’t report the degrees f of freedom. So you work this out by

A

N - 2

17
Q

Pearson’s Correlation

If n is 160, what is df?

A

158

18
Q

Partial correlation

If n is 160, what is df?

A

160

19
Q

A partial correlation is used when you want to

A

Assess the correlation between two variables while controlling for a third variable

20
Q

How is a linear regression different from a correlation?

A

LR tells us “If x changes by a certain amount, how much will Y change?”