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Factorial designs: Main effects and interactions Psy 245 Research Methods
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Objectives: By the end of this session, you should be able to: - define the concept of interaction - determine the relationship between variables from the results of statistical analyses - differentiate main effects and interactions
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Imaginary study: - Looking at the effect of rate of presentation and colour of stimuli on memory for a sequence of consonants “… Performance was weaker for the fast presentation rate than for the slow; F(1,9)=110.12, p.5. No interaction between rate of presentation and colour was found; F(1, 9).7. ”
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Slow-redSlow-blueFast-red Fast-blue Sub187.00082.00056.00054.000 Sub282.00079.00057.00059.000 Sub376.00078.00038.00028.000 Sub475.00076.00045.00046.000 Sub574.00073.00032.00039.000 Sub672.00077.00042.00050.000 Sub769.00080.00041.00039.000 Sub875.00073.00038.00025.000 Sub958.00057.00029.00028.000 Sub1076.00065.00059.00057.000 x SR = 74.4 x SB = 74.0 x FR = 43.7 x FB = 42.5
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x R * = ( x RS + x RF ) / 2 x B* = ( x BS + x BF ) / 2 x R* = (74.4+43.7) / 2 = 59.05 x B* = (74+42.5) / 2 = 58.25 Performance levels in colour conditions, regardless of rate of presentation, are similar
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x S* = ( x SR + x SB ) / 2 x F* = ( x FR + x FB ) / 2 Performance levels in rate of presentation conditions, regardless of colour, are different x F* = (43.7 + 42.5) / 2 = 43.1 x S* = (74.4 + 74) / 2 = 74.2
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Main effect of rate of presentation
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No main effect of A No main effect of B
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Main effect of A No main effect of B
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No main effect of A Main effect of B
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Main effect of A Main effect of B
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?
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Interaction Presence of an interaction: conclusions based on main effects alone do not fully describe the outcome of the factorial experiment Interaction: The effect of one independent variable on the dependent variable changes at the different levels of the second independent variable e.g.: Do control participants show better long-term memory than amnesic patients? For explicit memory tasks? For implicit memory tasks?
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Does the group of participants predict memory performance ? Yes, to a certain extent… but it also depends on the task...
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Memory performance Group of participants (Ctrls/amnesics) Task (explicit/implicit) Interaction
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Independent variables influence the dependent variables and not one another. Mathematically: Interaction is present when the differences between means representing the effect of a factor A at one level of B do not equal the corresponding differences at another level of factor B. An interaction is present when one of the independent variables does not have a constant effect at all levels of the other independent variable.
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Interaction & No main effect
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Main effect of A & interaction
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Interaction & main effect of B
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Main effect of A & B & interaction
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Practice
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A & B & interaction B AA & B
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Main effect of A, interaction Same data; changed factor illustrated on X-axis. Plotting the data in different ways can help interpretation
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2 x 2 design so far… What about 2x3? 3x3? 2x2x2? 2x2x2x2?
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2 x 3 design Main effect of B 11 22 1 < 2 Effect of B is not linear 22 11
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2 x 3 design Main effect of A & B
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Main effect of A & B & interaction
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3-way design: 2 x 2 x 2 E.g.: Looking at the effect of rate of presentation, colour and font size of the stimuli on memory for a sequence of consonants Rate of presentation: Fast versus Slow Colour: Red versus Blue Size: small versus large
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Main effect of size No main effect of colour Main effect of rate
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Size x Colour: No Rate x Colour: No Size x Rate: No
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SmallLarge The relationship between colour and rate is not different for the small and large conditions: No 3-way interaction
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C1C2 2 x 2 x 2 : For you to practice at home
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3-way interaction 3 factors interact when the interaction of two of the factors is not the same at all the levels of the third variable Y A 3-way Interaction B C
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Why the stats?
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Same data !!! Always look at the Y-axis values! What really tells you what effects are present is the statistic analysis
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Statistical tests take variations of the DV into account Only the statistical test can evaluate whether differences in your samples can be relatively safely generalised to the population
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