Clustered data Flashcards

1
Q

When a sample is drawn using clusters, will traditional standard error formulas assuming iid draws be correct?

A

No

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2
Q

What is the design effect?

A

Ratio of the variance of xbar (sampling variation) under two sampling designs (cluster and SRS)

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3
Q

Why is there an increase in sampling variability under cluster sampling?

A

The greater the share of variability that is between cluster, the more you lose by a cluster sample design

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4
Q

What is the ICC?

A

A measure of the amount of clustering

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5
Q

If there is perfect homogeneity within groups, what will the iCC equal?

A

1

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6
Q

What does an ICC of 1 indicate?

A

perfect homogeneity within groups

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7
Q

Which sampling has larger standard errors: cluster or simple random sampling?

A

cluster

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8
Q

If ICC is 0, what are the implications for the design effect?

A

No clustering, standard errors same as SRS

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9
Q

If ICC is 1, what are the implications for the design effect?

A

Extreme clustering, standard errors are larger

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10
Q

If we have observations clustered within groups i and xi doesn’t vary across units within the same group, what do we need in order to get new information?

A

new clusters

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11
Q

If the deft is 3.3, what does this mean?

A

Standard errors are approximately 3.3 times higher than those reported by the traditional standard error formula.

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12
Q

True or false: cluster sampling provides less variation than what one would obtain under a simple random sample. Standard error formulas that assume a SRS (i.i.d. observations) will be incorrect.

A

true

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13
Q

What does power of hypothesis test depend on?

A

effect size of interest
alpha
standard error of sample mean–smaller standard error=greater power
n because n decreases standard errors

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14
Q

If you have clustering, will increasing the number of students per school help to increase power?

A

No

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