Measures of Association (Lecture 8) Flashcards

1
Q

What do measures of association consider?

A

The relationship between two variables

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2
Q

What data do we use when we want to look at the measure of association?

A

categorical or continuous data

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3
Q

What test is associated with categorical data?

A

Chi-squared (x2)

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4
Q

What test is associated with continuous data?

A

Pearson’s correlation coefficient (r)

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5
Q

What does chi-squared test show?

A

If there are differences between the expected and observed values

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6
Q

What does correlation represent?

A

The strength and magnitude of the association between two variables

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7
Q

What does the correlation coefficient r range from?

A

-1 to 1 (zero means no association), (positive is 0-1), (negative is -1 to 0)

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8
Q

What tables are used for calculating chi-squared?

A

Contingency tables

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9
Q

What is the critical value?

A

How far from the expected centre do you need to be before we can say ‘there’s something unusual here’

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10
Q

What is data is used for correlation?

A

Continuous data

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11
Q

What does positive covariance indicate?

A

Variables that tend to move together away from their means

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12
Q

What does negative covariance indicate?

A

Variables that move in opposite directions

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13
Q

What does correlation coefficient range from?

A

-1 to 1

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14
Q

What plots are used with the correlation coefficient?

A

Scatter plots

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15
Q

What do scatter plots check?

A

If you are examining a linear relationship

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16
Q

What can strengthen the correlation coefficient?

A

Outliers or a ‘missing middle’

17
Q

What is a strong correlation r value?

A

r = ±0.8

18
Q

What is a weak correlation r value?

A

r = ±0.3

19
Q

True or False: Can variables be strongly associated with one another without any casual relationship?

A

True

20
Q

What’s an omitted variable?

A

A third factor could lead to changes in X and Y

21
Q

What’s reverse causality?

A

A change in Y leads to the change in X

22
Q

What’s sample selection bias?

A

Individuals sampled have a different tendency to show the association than the whole population

23
Q

What’s measurement error?

A

Values in the data differ from the true value of the variable

24
Q

What does association not imply?

A

Causation