Factorial Design

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12 Terms

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factorial designs

designs with more than one IV (or factor) where all levels of each IV are combined with all levels of the other IVs

<p><span>designs with more than one IV (or factor) where all levels of each IV are combined with all levels of the other IVs</span></p>
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main effects

the effect each variable has by itself, irrespective of the effect of the other variable

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interaction effects

the effect of one IV depends on the particular level of the other IV

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simple effects

the effect of one IV on the particular level of the other IV, only relevant when interaction effects are present

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2×2 factorial design examples

  • Top right: main effect between A, but not B

    • Main effect between A - difference between A1 and A2

    • No main effect between B - the levels of the IV are the same

  • Bottom left

    • Main effect for B 

      • Level for B1 is much higher than B2

    • No interaction effect  

  • Bottom right

    • B has a main effect (can see that B1 is higher than B2)

    • Main effect of A (A2 is higher than A1)

<ul><li><p><span>Top right: main effect between A, but not B</span></p><ul><li><p><span>Main effect between A - difference between A1 and A2</span></p></li><li><p><span>No main effect between B - the levels of the IV are the same</span></p></li></ul></li><li><p><span>Bottom left</span></p><ul><li><p><span>Main effect for B&nbsp;</span></p><ul><li><p><span>Level for B1 is much higher than B2</span></p></li></ul></li><li><p><span>No interaction effect&nbsp;&nbsp;</span></p></li></ul></li><li><p><span>Bottom right</span></p><ul><li><p><span>B has a main effect (can see that B1 is higher than B2)</span></p></li><li><p><span>Main effect of A (A2 is higher than A1)</span></p></li></ul></li></ul><p></p>
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experimental research vs non-experimental or quasi-experimental research

experimental research: manipulate IV

non-experimental research: non-manipulated IV

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manipulated vs non-manipulated IVs

IVs in factorial designs can be manipulated or non-manipulated

  • If all IVs are non-manipulated → non-experimental or quasi-experimental

  • If any IV is manipulated → experimental

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between-subject IV

each participant exposed to one level of IV

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within-subject IV

each participant exposed to all levels of IV

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between-subject or within-subject IVs

  • All IVs in factorial design are between subject → between-subject factorial design

  • All IVs in factorial design are within subject → within-subject factorial design

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mixed factorial design

some IVs in factorial design are between-subject and some are within-subject

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<p>Is there a main effect(s)?</p><p>Is there an interaction effect?</p><p>Is there a simple effect?</p>

Is there a main effect(s)?

Is there an interaction effect?

Is there a simple effect?

Main Effect
- There is a main effect of workload.
Students have a higher level of stress
when the workload is high as compared
to when the workload is low.
- There is a main effect of the roommate
situation. Students have a higher level
of stress when they do not have a
roommate as compared to when they do.
- There are main effects of workload and
roommate situation.

Interaction Effect
- There is an interaction between
workload and roommate situation.
- The effect of workload on stress depends
on the roommate situation.
- The effect of roommate situation on
stress depends on the workload

Simple Effect
Only relevant when there is an
interaction.
- When students have a roommate, having
a high workload is associated with more
stress than having a low workload.
- When students do not have a roommate,
having a high workload is associated
with more stress than having a low
workload.
- The difference in stress level between
high versus low workload is larger when
students have a roommate than when
they do not.