Power Analysis Flashcards

1
Q

What is statistical power?

A

The probability of detecting a true population effect, given a particular sample.

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2
Q

What are the 3 factors that determine the power of a study?

A
  1. Alpha level
  2. Sample size
  3. Effect size
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3
Q

What is one of the most useful aspects of power analysis?

A

The estimation of the sample size required for a study

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4
Q

What are the 2 measures of effect size for measures of association?

A
  1. Eta-squared
  2. R-squared
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5
Q

What is the measure of effect size for measures of difference?

A

Cohen’s d

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6
Q

What is Eta-squared?

A

The proportion of variance in a DV explained by a single IV.

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7
Q

What is Partial Eta-squared?

A

Estimates a specific effect size if there is more than one IV.

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8
Q

What is R-squared?

A

1 - the proportion of unexplained variance.

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9
Q

What is Cohen’s d?

A

When there are only two groups, 𝒅 is a ratio of the difference between the two groups with their error variance.

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10
Q

What statistical test has significantly larger effect sizes?

A

Cohen’s d.

Small: 0.2-0.3
Medium: 0.3-0.5
Large: 0.5 or larger

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11
Q

What are the 2 ways to decide what effect size is being aimed for?

A
  1. Based on previous research
  2. Based on theoretical importance
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12
Q

What is the name of the software that can be used to estimate the minimal sample size we would need to obtain a specific power level?

A

G*Power.

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13
Q

If we wanted 80% power, we would input effect size, alpha, and _________ into G*Power to get our sample size estimate.

A

1−𝛽=0.8.

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14
Q

Why is reporting effect size important?

A

It aids future attempts to replicate/extend your findings.

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