Correlation 1 Flashcards

1
Q

What is Correlation?

A

A relationship between 2 variables

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2
Q

What is positive association?

A

If one variable increases so does the other variable

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3
Q

What is negative association?

A

If one variable decreases the other variable increases

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4
Q

How can correlation be assess?

A
  • Pictorially, using a scatter plot

- Numerically, using a correlation coefficient

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5
Q

What other association shows lack of linear association?

A

Curvilinear association

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6
Q

By looking at a scatter plot of relationship. What can we assess?

A
  • Direction
  • strength
  • form
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7
Q

What can direction tell about relationship?

A

/ is positive relationship

\ is negative relationship

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8
Q

What can strength tell about the relationship?

A

The more closely bunched around the line the dots are, the stronger the relationship

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9
Q

What can form tell about the relationship?

A

If relationship is linear or non-linear (curvilinear).

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10
Q

How can we assess the relationship numerically?

A

Pearson’s r

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11
Q

What type of scale is needed for calculating pearson’s r?

A

Interval scale

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12
Q

How is pearson’s r calculated?

A

Sum all the products of the paired z-scores, then divide the result by the number of the cases minus 1.

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13
Q

What does the pearson’s r mean?

A

-1 negative relationship
0 no relationship
+1 positive relationship

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14
Q

How is pearsons r reported?

A

(r = .x, n = .x, p = .x, one-tailed)

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15
Q

What is the write up for reporting correlations?

A

A Pearson correlation was computed for the relationship between x and x. This revealed that these variables were, as predicted, x related and that the correlation was statistically significant (r = x, n = x, p = x, two tailed).

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