Factorial Designs

1. 1What makes a factorial design?

   1. ADesigns that have at least two IVs are known as factorial designs
   2. BDesigns that have at less than two IVs are known as factorial designs
2. 2What can factorial designs assess?

   1. AMain effects and Interaction
   2. BMain interactions and Simple effects
   3. CMarginal Means and simple means
   4. DInteraction
3. 3What are the advantages of a Factorial Design?

   1. ALess time consuming, effective, ethical
   2. Brequire fewer participants, can examine interactions between IV's, can generalise results
4. 4An interaction occurs when:

   1. AOne 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
      
      
   2. BOne Iv has an interaction with another level and DV shows responses on different levels
5. 5Does the "Grand Means" equate to the means of all the observations?

   1. ATrue
   2. BFalse
6. 6Are Marginal Means calculated for each factor or just for the factor which is being examined?

   1. AEach Factor
   2. BExamined Factor
7. 7Cell means are the simple effects that are investigated at the level of cell means.

   1. ATrue
   2. BFalse
8. 8What is the function of simple effects?

   1. AAs a follow up test.
   2. BTo compare means
   3. CTo follow up and interpret a significant interaction.
9. 9What are the Assumptions for Factorial Design?

   1. ANormality
   2. BHomogeneity of Variance
   3. CIndependence of sample Variance
   4. DIndependent of Random Sampling
   5. EDV scores have to be the same
   6. FAll of the Above
10. 10Factorial experiments allow researchers to:

    1. ACombine each treatment’s main effects to see the overall effect they have in a study
    2. BContrast 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
    3. CA and B.

11. 11Main effect is isolating one factor and examining the effect of this factor on the DV

    1. ATrue
    2. BFalse
12. 12In 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.

    1. ATrue
    2. BFalse
13. 13Can Interactions be both ordinal and disordinal?

    1. ATrue
    2. BFalse
14. 14For each pair of factors there are two main effects and one interaction which can occur in any combination. Which one is most correct?

    1. ATwo Main effects but no interaction
    2. BInteraction but no main effect
    3. COne main effect only
    4. DOne main effect & an interaction
    5. EAll of the above.

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Stats and Data Analysis Week 7

Author

mikayla.hudson

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English

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statistics and data analysis 2undergraduate degree

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