T5: Correlation Flashcards

1
Q

What is correlation?

A

The relationship between the DV’s - it doesn’t include IVs so only predicts behaviour and to explain or infer causality

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2
Q

What is a positive correlation?

A

As one DV gets bigger as does the other

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3
Q

What is a negative correlation?

A

As one DV gets bigger the other gets smaller

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4
Q

What does computing a correlation do (what does it show)?

A

A numerical way to express correlation (statistical way)

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5
Q

What is the Pearson R?

A

It looks at relationship between DV by taking a z score for each score of each DV (x and y) and multiplying them for each participant

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6
Q

What does the PR show?

A

The correlation coefficient

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7
Q

What is the correlation coefficient?

A

Shows whether the correlation between DVs is positive/negative OR strong/weak

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8
Q

What does the correlation coefficient range from?

A

-1 to +1 and 0 which means no linear relationship

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9
Q

What scale must variables for the correlation coefficient be measured on?

A

Interval or ratio

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10
Q

What is a curvilinear realtionship?

A

The relationship between two DV when increase in x means increase in y and then drop in y

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11
Q

What is a curvilinear relationship shown by?

A

Yerkes-Dodson arousal curve

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12
Q

On a PR, how is a curvilinear relationship shown?

A

The PR will either be 0 or -1

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13
Q

How can you look at the correlation between three or more DVs?

A

Can look at any paired combinations and look at their PR correlation coefficient

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14
Q

What is a cross-lagged-panel-correlation procedure?

A

A way of dealing with the directionality problem

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15
Q

What does the CLPC procedure show?

A

A way of showing whether DV’s x=y or y=x

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16
Q

What is the underlying assumption

A

The notion that if one variable ‘causes’ the other, it should be more strongly related over time

17
Q

What is the general strategy of CLPC?

A

Obtain several correlations (r) over time and then look at size and direction of the correlation coefficient to determine what leads to what