Complex Experimental Methods Flashcards

1
Q

interaction effect

A

effect of one independent variable depends on the level of another independent variable

IV1 depends on IV2

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

factorial design

A

testing more than one IV at a time allows us to test for interactions

  • studies with two or more IV (also referred to as factors)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

full factorial design

A

levels of IV 1 x levels of IV 2 = all possible combos

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

factorial notation

A

3 x 2 x 2

how many numbers are there? = # of IVs
what do each numbers represent = levels of IV
what does the product of the factors tell us? # of conditions

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

participant variables

A

IV that is non-manipulated
- variables are selected and measured abut not manipulated (e.g age)

IV 1
on cell phone vs not on phone

IV 2 (participant variable)
younger drivers vs older drivers

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

definition of main effect

A

is there an overall difference?
the overall effect of one IV on the dependent variable, averaging over the levels of the other IV

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

main effect calculations (table)

A

calculation
IV 1
level 1 level 2
IV 2 level 1 1 2 avg 1
level 2 3 4 avg 2
avg 1 avg 2
1. compare averages to see which IV has more of an effect on DV
2. subtract averages to see the difference between the IVs

how does IV 1 and IV 2 affect DV?

example answer: on average people who were alone (M = 9) reacted 3 minutes faster than people who were with strangers

difference in averages

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

defintion of interaction (table)

A

the effect of factor A on the DV depend on the level of factor B

  • sign of results matter

how is IV 1 influenced by IV 2 ?

                                  temp
                      hot            cold food  hb         10                   2          8
     icesk       4                   10        -6
                     6                   -8 the effect of food is different based on temperature

the effect is temperature is different based on food
difference in differences

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

main effects in graphs

A

y

                              x x-axis: compare averages vertically  y-axis: compare averages horizontally
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

questions to ask while figuring out main effect

A
  1. what is the IV?
  2. what are the levels of the IV
  3. what are the averages of each IV
  4. compare averages to determine main effect on DV
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

interactions for graphs

A

parallel = no interaction
non-parallel = interaction

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

interpreting interaction results

A
  1. compare endpoints vertially and horizontally then subtract
  2. the difference indicates difference in each interaction

same as what you would do in graphs

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

main effects for bar graphs

A

x - axis IV = compare middle
y - axis IV = compare height of bars with same color

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

interactions for bar graphs

A

method 1: do the differences between bar heights change as you go across x - axis?

method 2: connect the tops of the corresponding bars. would those lines be parallel?
not parallel = interaction
parallel = no interaction

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

between subjects factorial design

A
  • all of the factors are manipulated between subjects
  • each subject participants in just ONE condition
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

within subjects factorial design

A
  • all of the factors are manipulated within subjects
  • each subject participates in ALL conditions
17
Q

mixed factorial design

A
  • some of the factors are manipulated between subject, some within subjects
  • each subject participates in more than one, but not all conditions

tip: go through each IV/levels and indicate which are between, which are within subjects to ensure that it is the mixed factorial design

18
Q

factor a x factor b, how many main effects and interactions are there?

A

2 main effects (A & B)
1 interaction ( A x B)

19
Q

factor a x factor b x factor c, how many main effects and interactions are there?

A

3 main effects (A & B & C)
4 interactions (A x B, A x C, B x C, A x B, C)

20
Q

how many participants are in a between subjects, within subjects, and mixed subjects?

A