Factorial Design Flashcards

1
Q

Designs which include multiple independent variables are known as…

A

Factorial Design

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

For a design with 2 independant levels and 2 different croups only tested in 1 condition, what design would u use?

A

2π‘₯3 two-way, between-groups design.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What are the steps to analyse a two-way between-groups design?

A

1, State the null hypotheses (𝐻_0)

2, Partition the variability

3, Calculate the mean squares

4, Calculate the F-ratios

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

There are 3 null hypotheses for a two-way between-groups design

A

Means of different levels of the first IV (𝑨) will be the same

Means of different levels of the second IV (𝑩) will be the same

Differences between means of 𝑩 at different levels of 𝑨 are the same (there is no interaction between 𝑨 and 𝑩).

We want to disprove all of these

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is the No Interaction effect?

A

No interaction between conditions (𝑯_𝟎 Null is true)

So you form your new hypothesis as the DV does not affect how IV changed

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

If there is seen to be an Interaction Effect then…

A

𝑯_𝟎 Null is false

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Total deviation is the sum of

A

within-groups design
and
between-groups deviations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

π’šΜ…_(𝑨,π’Š)

A

means the average accross all subject designs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

π’šΜ…_𝑻

A

is still the total (grand) mean of all scores

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

π’šΜ…_(𝑨𝑩,(𝟏)(𝟏)) ij

A

Low caffeine IV level 1
IV level 1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

π’šΜ…_(𝑨𝑩,(𝟐)(πŸ‘)) ij

A

High caffeine IV level 2
IV level 3

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

π’šΜ…_(𝑩,𝒋)

A

mean score of IV level
across IV level 1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

π’š_(𝑨𝑩)

A

subjects single score they got (DV)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

so basically, The between-group deviation for the effect of the interaction is…

A

(𝑦̅_π΄π΅βˆ’π‘¦Μ…_𝑇 )βˆ’(𝑦̅_π΄βˆ’π‘¦Μ…_𝑇 )
βˆ’
(𝑦̅_π΅βˆ’π‘¦Μ…_𝑇 )=𝑦̅_π΄π΅βˆ’π‘¦Μ…_π΄βˆ’π‘¦Μ…_𝐡+𝑦̅_𝑇

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

total sum of squares for a one-way between-group design is…

A

〖𝑆𝑆〗_𝑇=〖𝑆𝑆〗_𝐴+〖𝑆𝑆〗_𝑅

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Sums of squares associated with the two-way between-groups design are a bit more involved…

A

〖𝑆𝑆〗_𝑇=〖𝑆𝑆〗_𝐴+〖𝑆𝑆〗_𝐡
(between groups)

+γ€–
𝑆𝑆〗𝐴𝐡+〖𝑆𝑆〗(𝑆/𝐴𝐡)
(within groups)

17
Q

sum of squares:
𝑺𝑺_𝑨𝑩 refers to

A

the squared differences related to an interaction between 𝑨 and 𝑩 – are the effects of 𝑨 different at different levels of 𝑩

18
Q

𝑺𝑺_(𝑺/𝑨𝑩) refers to

A

refers to the residual error – what’s left over after we’ve accounted for 𝑨

20
Q

To calculate F-Ratios, we need to calculate…

A

the mean squares associated with:

Main effect of A
Main effect of B
Interaction between A and B
Error Term

20
Q

How do we test
the effect of IV on DV
for individual IV 2 ?
For each level, perform:

A

F tests for simple main effects

Planned or post hoc comparisons (low vs high)

20
Q

The significant interaction effect suggests

A

it might be difficult to interpret the main effects.
To do this, we need to analyse simple main effects

21
Q

If all IVs are between groups
We use a

A

Between-groups design

22
Q

If all IVs are collected from the same participants
We use a

A

Within-subjects or repeated-measures design

23
If at least one IV is between groups and at least one IV is within We use a
Mixed design
24
Effect of a single variable is known as a
Main Effect
25
Effect of two variables considered together is known as an
Interaction Effect
26
For two-way between-groups design, an omnibus F-ratio is calculated for each of the following:
Main effect of the first variable Main effect of the second variable Interaction between the first and second variables
27
If a significant interaction effect is found, you should test for
simple main effects
28
Designs which include multiple independent variables are known as
factorial designs
29
What three pieces of information does the name of an experimental design depends on
Number of independent variables Number of levels of each independent variable Kind of independent variable
30
If two independent variables there needs to be a...
Two-way design
31
If three independent variables there needs to be a...
Three-way design
32
2π‘₯3π‘₯4 three-way design is used when...
there are multiple IVs with multiple levels each
33
2π‘₯3 two-way design (2 by 3) is used when...
the first IV has two levels and the second IV has three levels