Lecture 3 Flashcards

ANOVA I

1
Q

Video 1

What is the difference between a true and a quasi experiment?

A

In a true experiment the IV is manipulated, the people are randomly assigned and there is a control group. Whilst in a quasi experiment at least one of these is not true.

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2
Q

Video 1

What is a causal inference?

A

When other things also affect the experiment, but they are not taken into account.

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3
Q

Video 1

What type of experiment takes the causal inference into account?

A

A true experiment

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4
Q

Video 1

What is the problem when there is a higher variance?

A

Then the distribution overlaps more and this then obscures the difference in the group means.

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5
Q

Video 1

What causes systemic variance?

A

A known or manipulated factor (or factors)

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6
Q

Video 1

What causes unsystemic variation?

A

Factors that are not explained by the manipulated factors

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7
Q

Video 1

What does the t/F test show?

A

The ratio of systemic vs unsystemic variance

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8
Q

Video 1

How do you calculate the SD?

A

The difference between the observation and the mean.

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9
Q

Video 1

What does the SE actually state?

A

The unsystemic variation, or the variation in a sample.

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10
Q

Video 2

How can you make sure to get the max. t ?

A

By maximizing the mean difference, lower the variance in each group (unsystemic variation) or get a higher N

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11
Q

Video 2

When do you use a one-way ANOVA?

A

When there are multiple means

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12
Q

Video 2

When do you use a two-way ANOVA?

A

When there are 2 factors manipulated

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13
Q

Video 2

When do you use a three-way ANOVA?

A

When there are 3 factors manipulated.

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14
Q

Video 2

What is a familywise error?

A

This type of error is caused by the amount of tests that are used: 1*0.95, if it is more than 1 test it becomes bigger than 0.05 (too high alpha), can correct for it, but then it becomes less likely to get a significant result

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15
Q

Video 2

How can the pairwise comparison be calculated?

A

By using the formula [k (k-1)]/2

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16
Q

Video 2

Which are the two steps needed to take when doing an ANOVA?

A

Step 1: test the difference between k groups and test whether the null hypothesis of all means are equal
Step 2: do a posthoc comparison, whether the groups actually differ.

17
Q

Video 2

What are the dfs used in the F statistic?

A

df1 = k-1, df2 = N-k

18
Q

Video 3

How can you get a smaller deviation from the mean?

A

When you have different means per group instead of one big mean

19
Q

Video 3

What is the formula to calculate the F statistic?

A

F = (SSm/df SSm) / (SSr/df SSr) which equals to MSm/MSr

20
Q

Video 3

What formula is used to calculate the SSt?

A

(Xi - x(grand mean))^2 (of all the different group means added up) and the df is calculated by df = N-1

21
Q

Video 3

What formula can be used to calculate the SSr?

A

(Xik - Xk (mean))^2 (of all the means combined), df = (N-1) - (k-1)

22
Q

Video 3

Which formula can be used to calculate the SSm?

A

nk(Xk(mean) - (x grand mean)^2 (with all the means added up) and df= k-1

23
Q

Video 4

What is a contrast?

A

A selection of hypothesis-driven pairwise comparisons

24
Q

Video 4

What is a simple contrast?

A

When you compare a control group to each experimental group

25
# Video 4 What is a repeated contrast?
When you campare the 1st group to the 2nd, 2nd to the 3rd etc.
26
# Video 4 What is a Helmert contrast?
Comparing a mean of each level to the mean subsequent level (combination of experimental effect). 4 groups: control, 2 drugs, 1 as a combination of both drugs.
27
# Video 5 What do you do when there is no homogeneity of variance?
Have to do a correction with Welch/Brown
28
# Video 6 Do you plot the data one or two-way?
Always plot two-way
29
# Notes What does a big SSm indicate?
That the regression line is a good predictor of the experimental condition.
30
# Notes When is b0 significant?
When it is not equal to 0
31
# Notes When is b1 significant?
When the difference in mean groups is bigger than 0
32
# Notes What do you want to know when researching an interaction?
Whether there is a different effect on eg females and males (the lines are not parallel if there is one).