lecture 11 - chapter 12
DESCRIPTION
Lecture 11 - Chapter 12. Factorial Design (Multifactor). More than one IV. Most frequently used design. Terminology. IV = Factors. One way…. Two way, Three way …. Why?. In real world/natural setting not Just one variable impacts behavior! Variables combine to impact behavior. - PowerPoint PPT PresentationTRANSCRIPT
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Lecture 11 - Chapter 12
Factorial Design (Multifactor)
More than one IV Most frequently used design
IV = Factors
Terminology
One way….Two way, Three way …
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Why?
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In real world/natural setting not Just one variable impacts behavior!
Variables combine to impact behavior
Interact interaction
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Artificial variable
weather & temperatureRunning speed
Interaction: the effect of one Factor (IV) on the DV changes depending on the level of
the other factor (IV)
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How many Factors (IVs)How many levels
Design Notation:
Matrix of Cells
2 X 2 3 X 2 5 X 2
Levels of A Levels of A Levels of A
Levels
of
B
L evels
of
B
L evels
of
B
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Testing more than one Hypothesis
1. No difference bwt the levels of AIf difference…MAIN EFFECT
2. No difference bwt the levels of BIf difference…MAIN EFFECT
3. No significant interaction of factor A & B…signif interaction
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Possible Outcomes
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Possible Outcomes
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Whether you are using a t-test, one-way ANOVA, Factorial
Did you get an effect????
• Significance level (p value)•Ex: F ratio…you found sign.
difference and with 95% confidence (0.05) not just due to chance
and F ratio represents F= 67.01…67 times more variance between the groups than
expected by chance
…very dependent on sample size…powerLarge F may represent sample size…so..
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We need some measure that
1. Index of the STRENGHT of the experimental effect
2. Independent of Sample Size
Effect Size (Magnitude of Effect)Proportion of the variance “explained”, “accounted” for by the treatment…“treatment effect”… Does this ring a bell
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Whether you are using a t-test, one-way ANOVA, Factorial
Effect Size:
Partial Eta Squared (2p)SS Main Effect or Interaction / SS Main Effect or Interaction+SS Error
…notice n not a part of the formulaNumber ranges from .00 to 1.00
(correlation between the effect and the DV)
Small:? Med:?
Large:?Depends on the area of interest
.40
.25
.10ANOVA t-test
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Other tests out there in the world…
Extension of ANOVA
MANOVA: Multivariate AnalysisMore than one DV
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Examples…
For the main effect of ATTRACT partial Eta squared was .90, therefore the variable of ATTRACT accounted for 90% of the overall (effect+error) variance.
30 % of the variation in time spent in conversation can be attributed to the type of the approach…
The interaction accounted for 41% of the total variance….