Lecture 4 Flashcards

ANOVA II

1
Q

Video 1

What does a residual show?

A

The difference between the observation and the prediction

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2
Q

Video 2

What do you do when doing an Omnibus test?

A

Checking whether all means are equal.

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3
Q

Video 2

When are the group effects significant?

A

When the groups are not equal in means. The residuals are smaller if you account for a specific group membership.

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4
Q

Video 2

Can you convert a two-way ANOVA into regression?

A

Yes you can, but it is very hard

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5
Q

Video 3

What is an independent observation?

A

An observation done within or between groups (is representative of the population and do not have a small N)

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6
Q

Video 3

What is longitudinal data and which tests do you use for the statistics?

A

Longitudinal data is dependent. When there are two time points you use a paired t test. When there are more than two time points a repeated measure ANOVA is used.

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7
Q

Video 3

When do you used a paired t test?

A

When the pre-/post test scores are both from the same person

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8
Q

Video 3

When do you use a repeated ANOVA?

A

When you want to see the change within each group

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9
Q

Video 3

When do you use a mixed model?

A

When you need to handle missing or non-equidistant data (not the same time between measurements), or when there is variation between the subjects starting point and growth curve.

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10
Q

Video 3

When do you get longitudinal data?

A

When a subject is measured more than once.

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11
Q

Video 4

When do you get clustered data?

A

When the subjects are eg from the same family. When it’s not corrected for you have high risk of a type 1 error.

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12
Q

Video 5

What is an intracluster correlation (ICC)?

A

When there is eg similarity between the neurons from the same pup (it ranges from 0-1, where 1 means that all things from the same cluster give the same info)

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13
Q

Video 5

What is the effective sample size?

A

The truly unique sources of info

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14
Q

Video 5

What formula is used for the effective sample size?

A

Neff = Ntotal / (1+(n-1)ICC)
n= the sample size within each cluster

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15
Q

Video 5

What does sigma e stand for?

A

The variation within each cluster

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16
Q

Video 5

What does sigma u stand for?

A

The variation between the clusters

17
Q

Video 5

What is the formula used to calculate the ICC

A

sigma u ^2/ (sigma u^2 + sigma e^2)

18
Q

Video 5

What does it mean when the ICC is high?

A

The observations within the same cluster are similar

19
Q

Video 5

What is the consequence of not using Neff?

A

The SE is underestimated, df is too large, or the p-value is too small

20
Q

Video 6

What can be done to try to fix the dependency?

A

Take the average within the cluster (a pooled t), or take a random observation from each cluster (but you loose info/power), or you can do a multi level analysis

21
Q

Video 6

What is a cluster specific formula?

A

Yij = boj + biGi + Eij and boj = bo + Uoj (the cluster deviation mean)

22
Q

Notes

What do b0 and b1 mean when you use the t-test as a regression model?

A

b0 = specific data eg of the mean of female.
b1 = difference between eg male and female

23
Q

Notes

When is a Lavene test used?

A

To test the equal variance in a group.