Correlation and Partial Correlation Flashcards

1
Q

What are the uses of correlation?

A

Reliability
Correlation and Partial Correlation
Underlying Principle of regression

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2
Q

What are the characteristics of correlational designs?

A

non-experimental - observe how variables change to see if they vary similarly

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3
Q

What are three ways to collect correlational data?

A

Observation in a natural setting
Use of archival data
Surveys

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4
Q

What is correlation as an analysis technique?

A

A statistical technique that measures and describes the relationship between two variables

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5
Q

What does correlation tell us about variables?

A

How one variable systematically changes as scores on another variable change.
The strength of the relationship
The direction of the relationship
The shape of the relationship

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6
Q

What is required to calculate a correlation?

A

Each individual must have a score for both variables

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7
Q

What is the most commonly reported correlation coefficient?

A

Pearson’s R (non parametric equivalent available)

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8
Q

What is an alternate name for standardised covariance?

A

Correlation co-efficient (r)

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9
Q

what is covariance?

A

A measure of the extent to which variables change consistently

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10
Q

How is covariance calculated?

A

A measure of the extent to which variables change consistently

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11
Q

how is covariance calculated?

A

multiplying both variables together

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12
Q

why is covariance standardised to create the correlation co-efficient?

A

because each unit for the variable is different (each variable is measured on a different scale/in different units)

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13
Q

what does a positive covariance indicate?

A

both deviations are positive or negative

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14
Q

what does a negative covariance indicate?

A

deviations go in opposite directions (one is positive, the other is negative)

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15
Q

What are the commonly used effect sizes for pearsons r?

A

0.1 - small effect
0.3 - medium effect
0.5 - large effect

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16
Q

What is the relationship between the numerator and denominator in the covariance calculation?

A

low covariance: denominator is greater than the numerator
High covariance: denominator is lower than the numerator

17
Q

WHat is another term for standardised covariance?

A

correlation coefficient

18
Q

What is the coefficient of determination?

19
Q

What does the coefficient of determination tell us?

A

(r x r) * 100 = percentage of (overlapping) covariance between both variables

20
Q

What is an important caveat of correlation?

A

COrrelation does not imply causation

21
Q

what is the ‘third variable’ problem?

A

the possibility of spurious relationships due to an unmeasured third variable

22
Q

What is the impact of restricting the range of scores on the correlation?

A

reduces the reliability of the computed r value

23
Q

what are the assumptions of correlation?

A

Interval level data
Approximately normally distributed variables
Minimal/no outliers
Homoscedasticity

24
Q

What are non-parametric alternatives to Person’s r?

A

Spearman’s r

25
Q

what is homoscedasticity?

A

The spread of scores around the line of best fit is similar as you move along the axis.

26
Q

What is partial correlation?

A

A technique that controls for the effect of a third variable (or more) on both variables of interest

27
Q

How does partial correlation work?

A

It examines the relationship between the third variable and the two variables of interest, then removes the overlapping variability to keep the third variable constant

28
Q

What is a confounding variable?

A

A variable that can explain some of the relationship between two other variables (the third variable)

29
Q

What happens to the relationship between two variables when the effect of a confounding variable is removed?

A

The relationship can get stronger, weaker, or not change at all