W7 - Factorial ANOVA

Question 1

What do factorial designs allow you to do?

Answer 1

Manipulate several variables at the same time.

Allow us to look at how variables interact with each other.

Question 2

What is the IV in a factorial ANOVA known as?

Answer 2

Factor

Question 3

What are the conditions within the factors in the Factorial ANOVA known as?

Answer 3

Levels

Question 4

What can the factors in factorial ANOVAs have?

Answer 4

Independent levels

Repeated measures levels

Question 5

What are the independent levels within the factors (IV)

Answer 5

Between subject factors i.e male or female

Question 6

What are the repeated measures levels within factors (IV)

Answer 6

Within subject factors i.e time (pre/post) or drug type (placebo/drug)

Question 7

What are the 2 parts to the factorial ANOVA

Answer 7

No. of conditions

Type of ANOVA

Question 8

What are factorial ANOVAs used for?

Answer 8

To analyse experimental designs w/ multiple factors (IVs)

Question 9

What is an ANOVA called with 2 independent variables?

Answer 9

2 way ANOVA

Question 10

What can independent factorial ANOVAs do?

Answer 10

Manipulate multiple between-subject variables

Question 11

What can repeated measures factorial ANOVAs do?

Answer 11

Manipulate multiple within subject variables.

Question 12

What can a mixed factorial ANOVA do?

Answer 12

Manipulate the between subject and within subject variables

Question 13

What is meant by the main effect

Answer 13

When a change is found in the DV due to 1 of the IVs/factors

Question 14

What is meant by the interaction effect

Answer 14

When the size of the change found in the DV depends on 1 of the other factors

Question 15

What ANOVA would be used for the following scenario?

Examining whether IQ varies across year groups differently in M + F

Answer 15

DV = IQ
Factors = Gender x Year group 

Factor 1 (Gender) has 2 levels (M,F)
Factor 2 (Yr group) has 3 levels (1st, 2nd, 3rd)

= 2x3 Independent ANOVA (a.k.a 2x3 between groups ANOVA)

Question 16

What ANOVA would be used for the following scenario?

Examining whether IQ varies across year groups differently in M + F and with hair colour

Answer 16

DV = IQ
Factors = Gender x Year group x Hair colour 
Factor 1 (Gender) = 2 levels (M,F)
Factor 2 (Yr group) has 3 levels (1st, 2nd, 3rd)
Factor 3 (Hair colour) has 4 levels (blonde, brown, black, red)

= 2x3x4 Independent ANOVA

Question 17

What ANOVA would be used for the following scenario?

Examining how lower back pain is affected by different drugs + different psychological therapies:

Answer 17

DV = Level of pain 
Factors = Drug Type x Therapy Type 
Factor 1 (Drug Type) = 2 levels (ibuprofen, aspirin). 
Factor 2 (Therapy Type) = 2 levels (CBT, mindfulness). 

= 2x2 repeated measures ANOVA

Question 18

Examining how protein supplementation type + dosage can affect how many back squats you can undertake with + w/out DOMS

What is the ANOVA

Answer 18

DV = Number of squats. 
Factors = Protein type x dosage amount x DOMS 
Factor 1 (Protein type) = 2 levels (solid, liquid)
Factor 2 (Dosage amount) = 3 levels (high, low, none)
Factor 3 (DOMS) = 2 levels (yes, no)

= 2 x 3 x 2 repeated measures ANOVA

Question 19

Examining perceived effort of frequent + infrequent cyclists at different cadences (50 rpm, 70 rpm, 90 rpm):

What is the ANOVA

Answer 19

DV = Perceived effort
Factors = Type of cyclist x Cadence
Factor 1 = Type of cyclist (frequent, infrequent)
Factor 2 = Cadence (50, 70, 90)

= 2 x 3 mixed factorial ANOVA