11: Statistical Methods Flashcards

1
Q

Define p-values.

A

Probability of obtaining data this extreme or more extreme, assuming the null hypothesis is true.

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2
Q

Industry standard to call something “statistically significant” is what?

A

p < .05.

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3
Q

r = .30, p = 0.03. What does this mean?

A

Assuming null hypothesis is true (r = .00), 3% chance you would find a correlation of .30 or larger in the long run, over repeated samples.

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4
Q

What are four criticisms of statistical significance?

A

p < .05 is an arbitrary cutoff.

With large enough sample size, virtually any finding could be statistically significant (as N increases, so does power).

Only make statements in relation to null hypothesis; lacks intuitive ease of understanding.

Can’t endorse the null, can only fail to reject it.

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5
Q

What is the definition of a 95% confidence interval?

A

Conduct 1000s of similar experiments and calculate a confidence interval for each one, 95% of those CIs would contain the population parameter.

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6
Q

What are the three types of studies in equivalence testing?

A

Traditional comparative; equivalence; noninferiority.

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7
Q

What is the equivalence margin?

A

Range of effect sizes which might be non-zero, but are small enough to be considered practically and clinically insignificant.

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8
Q

One straightforward way to assess clinical significance is to set the null hypothesis at something higher than 0, and use what?

A

Confidence intervals.

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9
Q

The Jacobson & Truax Approach to clinical significance offers three possibilities. Describe each.

A

Post-intervention score 2 SD away from mean of the dysfunctional population.

Post-intervention score 2 SD within the mean of the functional population.

Post-intervention score closer to mean of the functional population than mean of the dysfunctional population.

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10
Q

List the four categories of clinically significant change.

A

Recovered: “clinically significant change.”

Improved: “statistically significant change” but not enough to be considered full recovery.

Unchanged: no statistically significant change.

Deteriorated: statistically significant worsening of symptoms over time.

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11
Q

What is the Number Needed to Treat (NNT)?

A

Number of patients that need to be treated for one to benefit compared with a control in a clinical trial.

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12
Q

A slope of 2 means what?

A

Every 1-unit change in X yields a 2-unit change in Y.

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13
Q

In mediation, the c-path (the total effect) should get _____ with the addition of a mediator.

A

Smaller.

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14
Q

With X, Y, Z, in mediation, what do you do with the a-path (X to Y) and the b-path (Y to Z)?

A

a-path: get slope of relationship.

b-path: get slope while controlling for X.

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15
Q

Mathematicians have shown that (a-path * b-path) = c-path – c’ path. What does this mean?

A

If a * b (“the indirect effect”) is statistically significant, mediation has occurred.

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16
Q

The easiest way to test the significance of a * b is what?

A

Joint significance test. If a-path AND b-path are both significant, then a*b is significant and there is mediation.

17
Q

In moderation, you do what to the sample? Provide an example.

A

Split the sample into two groups.

E.g., age -> cognitive deficits (low loneliness); age -> cognitive deficits (high loneliness).

18
Q

Moderation tests the H0 that B1–B2 = 0. What does this mean?

A

Hypothesis is the DIFFERENCE between slopes.

19
Q

In moderation, the difference in slopes is tested with something called an _____.

A

Interaction effect.

20
Q

In moderation, how do you split data into groups? How are they displayed?

A

Kept as an interval-level variable in the analysis.

Usually define “high” as 1 SD above the mean, and “low” as 1 SD below the mean.

21
Q

In moderation, you are saying what about the relationship between X & Y?

A

Depends on a 3rd variable.