Establishing Associations Flashcards

1
Q

What is an association?

A

An association is wherebycertain values of one variable tends to correspond with certain values of another variable.

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2
Q

Why do correlations not always equal causation?

A

Correlations do not equal causation as there may be issues of reverse causality or spurious association.

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3
Q

What are the three components of association?

A
  • Nature/direction: increase or decrease! Between which variables?
  • Strength of the relationship: what is the strength of an increase/decrease
  • Statistical significance of the relationship: how likely is it that an association will generalise to the population?
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4
Q

How can you establish the nature of a linear association and the strength of the association?

A

The nature of a linear association can be seen through the sign of the slope coefficient (positive vs negative), while the strength can be seen through the size of the slope coefficient.

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5
Q

What is Pearson’s r? What values does it range between and what do these values mean?

A

Pearson’s r summarises the association between two quantitative variables in a numerical form. It ranges between -1 and 1, with 1 as the perfect positive correlation and -1 as the perfect negative correlation.

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6
Q

What is a t-test? What does it allow us to derive?

A

A t-test is a statistic which collects all evidence against a null hypothesis. It compares how much variation in Y can be explained by X and how accurately we can measure the population slope.
It allows us to derive the p-value.

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7
Q

What do statistical control techniques aim to achieve?

A

Statistical control techniques aim to measure and account for potential confounding variables. It allows us to rule out these playing a role in producing our results.

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