Factorial Designs

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Stats and Data Analysis Week 7
mikayla.hudson
Quiz by mikayla.hudson, updated more than 1 year ago
mikayla.hudson
Created by mikayla.hudson almost 9 years ago
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Resource summary

Question 1

Question
What makes a factorial design?
Answer
  • Designs that have at least two IVs are known as factorial designs
  • Designs that have at less than two IVs are known as factorial designs

Question 2

Question
What can factorial designs assess?
Answer
  • Main effects and Interaction
  • Main interactions and Simple effects
  • Marginal Means and simple means
  • Interaction

Question 3

Question
What are the advantages of a Factorial Design?
Answer
  • Less time consuming, effective, ethical
  • require fewer participants, can examine interactions between IV's, can generalise results

Question 4

Question
An interaction occurs when:
Answer
  • One IV interacts with another IV when the effects of one IV are different depending on which level of the other IV is being considered and One IV interacts with another IV when it changes the impact of another IV on the DV
  • One Iv has an interaction with another level and DV shows responses on different levels

Question 5

Question
Does the "Grand Means" equate to the means of all the observations?
Answer
  • True
  • False

Question 6

Question
Are Marginal Means calculated for each factor or just for the factor which is being examined?
Answer
  • Each Factor
  • Examined Factor

Question 7

Question
Cell means are the simple effects that are investigated at the level of cell means.
Answer
  • True
  • False

Question 8

Question
What is the function of simple effects?
Answer
  • As a follow up test.
  • To compare means
  • To follow up and interpret a significant interaction.

Question 9

Question
What are the Assumptions for Factorial Design?
Answer
  • Normality
  • Homogeneity of Variance
  • Independence of sample Variance
  • Independent of Random Sampling
  • DV scores have to be the same
  • All of the Above

Question 10

Question
Factorial experiments allow researchers to:
Answer
  • Combine each treatment’s main effects to see the overall effect they have in a study
  • Contrast the average of these main effects to determine if the treatment has one effect on one group of participants and another effect on another group of participants
  • A and B.

Question 11

Question
Main effect is isolating one factor and examining the effect of this factor on the DV
Answer
  • True
  • False

Question 12

Question
In Factorial designs, you compare one treatment’s main effects with another treatment’s main effects and if one factor differs significantly at discrete levels of the other factor we have an interaction.
Answer
  • True
  • False

Question 13

Question
Can Interactions be both ordinal and disordinal?
Answer
  • True
  • False

Question 14

Question
For each pair of factors there are two main effects and one interaction which can occur in any combination. Which one is most correct?
Answer
  • Two Main effects but no interaction
  • Interaction but no main effect
  • One main effect only
  • One main effect & an interaction
  • All of the above.
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