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Which are true of (multi)collinearity?

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It is a potential issue for multiple linear regression

It is a potential issue for transformations

It is a potential issue for simple linear regression

It is where two or more predictor variables show non-linear relationships

It is where two or more predictor variables are highly correlated

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Which are true of a meta-analysis?

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Combines many studies to obtain a better picture of a phenomenon

A form of literature review which compares z-scores

Allows us to critically evaluate and summarise a body of research in a quantitative way

Picks out the most influential studies and combines them to obtain a better picture of a phenomenon.

Allows us to critically evaluate and summarise a body of research in a qualitative way

A form of literature review which averages effect sizes

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What is mediation analysis?

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A statistical test that seeks to identify the third variable that underlies an observed relationship between an IV and a DV, via the inclusion of a mediator

A statistical test that seeks to identify the mechanism that underlies an observed relationship between an IV and a DV, via the inclusion of a mediator

A statistical test that seeks to identify the mechanism that underlies an observed relationship between two IVs, via the inclusion of a mediator

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What is a mediator?

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A variable that explains the degree of the relationship between two variables, and how this effect occurs

A variable that explains the relationship between two other variables, and describes how that effect occurs

A bivariate outlier

A variable that explains the relationship between a third variable and a dependent variable, and describes how the effect occurs

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When should you carry out a meta-analysis?

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When there are a lot of studies available

Where procedures are similar

When findings are inconsistent

When the best procedure is yet to be discovered

Where findings are consistent, and would therefore benefit from being collated

Where more research is needed

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What is multiple linear regression useful for?

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Creating compound variables / composite scores

Finding the best predictor of a DV

Comparing different slopes

Conducting mediation analysis

Comparing the strength of different effects

Making predictions

Ruling out third variables

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Logistic regression is used for studying a DV which is?

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What would be considered a medium correlation?

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Which factors can distort correlations?

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Only including extreme groups

A large standard deviation

Non-linear relationships

A small number of participants

Attrition

Misleading scatterplots

Restricted range

Outliers, especially bivariate outliers

A normal distribution

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What does Spearman's r account for?

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Non-normal distribution

Small number of participants

Restricted range

Outliers

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Order the steps of mediation analysis.

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2
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To establish that the mediator completely mediates the relationship between the IV and the DV, the effect when controlling for the mediator should be non-significant.
Show that the IV is correlated with the DV.
Show that the IV is correlated with the mediator.
Show that the DV is correlated with the mediator.

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What would be considered a large correlation?

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What is simple linear regression used for?

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To find the equation of the best line that shows the relationship between two variables

To make predictions and compare slopes

To compare the individual contributions of different variables

To measure the impact of an IV on a DV

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What is multiple linear regression used for?

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To find the equation of the best line to show the relationship between two variables

To make predictions

To compare the unique contribution of different IVs to the DV

To measure the impact of an IV on a DV, while controlling for additional variables

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Why is meta-analysis important?

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They can detect a small effect

To challenge the research which already exists

To discover new findings

To challenge wrong but persistent beliefs