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Stats and Data Analysis Week 7

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Factorial Designs

Questão 1 de 14

1

What makes a factorial design?

Selecione uma das seguintes:

  • 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

Explicação

Questão 2 de 14

1

What can factorial designs assess?

Selecione uma das seguintes:

  • Main effects and Interaction

  • Main interactions and Simple effects

  • Marginal Means and simple means

  • Interaction

Explicação

Questão 3 de 14

1

What are the advantages of a Factorial Design?

Selecione uma das seguintes:

  • Less time consuming, effective, ethical

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

Explicação

Questão 4 de 14

1

An interaction occurs when:

Selecione uma das seguintes:

  • 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

Explicação

Questão 5 de 14

1

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

Selecione uma das opções:

  • VERDADEIRO
  • FALSO

Explicação

Questão 6 de 14

1

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

Selecione uma ou mais das seguintes:

  • Each Factor

  • Examined Factor

Explicação

Questão 7 de 14

1

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

Selecione uma das opções:

  • VERDADEIRO
  • FALSO

Explicação

Questão 8 de 14

1

What is the function of simple effects?

Selecione uma das seguintes:

  • As a follow up test.

  • To compare means

  • To follow up and interpret a significant interaction.

Explicação

Questão 9 de 14

1

What are the Assumptions for Factorial Design?

Selecione uma das seguintes:

  • Normality

  • Homogeneity of Variance

  • Independence of sample Variance

  • Independent of Random Sampling

  • DV scores have to be the same

  • All of the Above

Explicação

Questão 10 de 14

1

Factorial experiments allow researchers to:

Selecione uma das seguintes:

  • 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.

Explicação

Questão 11 de 14

1

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

Selecione uma das opções:

  • VERDADEIRO
  • FALSO

Explicação

Questão 12 de 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.

Selecione uma das opções:

  • VERDADEIRO
  • FALSO

Explicação

Questão 13 de 14

1

Can Interactions be both ordinal and disordinal?

Selecione uma das opções:

  • VERDADEIRO
  • FALSO

Explicação

Questão 14 de 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?

Selecione uma das seguintes:

  • Two Main effects but no interaction

  • Interaction but no main effect

  • One main effect only

  • One main effect & an interaction

  • All of the above.

Explicação