Mediation Analyses and Indirect Effects Flashcards

1
Q

What is the aim of mediation analyses?

A

To find whether a third variable explains or accounts for the relationship between a predictor and criterion

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2
Q

How is the causal chain identified in mediation analyses?

A

Through shared variance between the predictor and mediator

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3
Q

What is a direct effect in mediation analyses?

A

The unique association a predictor has with the criterion

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4
Q

What is an indirect effect in mediation analyses?

A

The effect of the predictor on the criterion via the mediator

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5
Q

What are the 4 paths/ questions that are examined in mediation analyses?

A
  1. IV is related to (‘causes’) mediator
  2. IV is related to DV
  3. Mediator is related to DV controlling for IV
  4. IV is less/not related to DV when mediator is controlled for
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6
Q

What kind of analysis is used to test relationships in mediation analyses?

A

HMR analysis

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7
Q

What is put in the first block for a mediation analysis?

A

The IV

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8
Q

What is put in the second block for a mediation analysis?

A

The mediator

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9
Q

What does it mean when the coefficient for the mediator is significant in block 2 of a mediation analysis?

A

The mediator is related to the DV when the IV is controlled for

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10
Q

What does it mean when the coefficient for the IV is no longer significant in block 2 of mediation analysis?

A

Full mediation

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11
Q

What does it mean when the coefficient for the IV is still significant in block 2 of a mediation analysis?

A

Partial mediation

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12
Q

What is bootstrapping?

A

When you re-run the analysis after creating multiple samples from the original sample to increase power.

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