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Stats and Data Analysis Week 7

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Factorial Designs

Question 1 of 14

1

What makes a factorial design?

Select one of the following:

  • 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

Explanation

Question 2 of 14

1

What can factorial designs assess?

Select one of the following:

  • Main effects and Interaction

  • Main interactions and Simple effects

  • Marginal Means and simple means

  • Interaction

Explanation

Question 3 of 14

1

What are the advantages of a Factorial Design?

Select one of the following:

  • Less time consuming, effective, ethical

  • require fewer participants, can examine interactions between IV's, can generalise results

Explanation

Question 4 of 14

1

An interaction occurs when:

Select one of the following:

  • 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

Explanation

Question 5 of 14

1

Does the "Grand Means" equate to the means of all the observations?

Select one of the following:

  • True
  • False

Explanation

Question 6 of 14

1

Are Marginal Means calculated for each factor or just for the factor which is being examined?

Select one or more of the following:

  • Each Factor

  • Examined Factor

Explanation

Question 7 of 14

1

Cell means are the simple effects that are investigated at the level of cell means.

Select one of the following:

  • True
  • False

Explanation

Question 8 of 14

1

What is the function of simple effects?

Select one of the following:

  • As a follow up test.

  • To compare means

  • To follow up and interpret a significant interaction.

Explanation

Question 9 of 14

1

What are the Assumptions for Factorial Design?

Select one of the following:

  • Normality

  • Homogeneity of Variance

  • Independence of sample Variance

  • Independent of Random Sampling

  • DV scores have to be the same

  • All of the Above

Explanation

Question 10 of 14

1

Factorial experiments allow researchers to:

Select one of the following:

  • 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.

Explanation

Question 11 of 14

1

Main effect is isolating one factor and examining the effect of this factor on the DV

Select one of the following:

  • True
  • False

Explanation

Question 12 of 14

1

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.

Select one of the following:

  • True
  • False

Explanation

Question 13 of 14

1

Can Interactions be both ordinal and disordinal?

Select one of the following:

  • True
  • False

Explanation

Question 14 of 14

1

For each pair of factors there are two main effects and one interaction which can occur in any combination. Which one is most correct?

Select one of the following:

  • Two Main effects but no interaction

  • Interaction but no main effect

  • One main effect only

  • One main effect & an interaction

  • All of the above.

Explanation

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