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Ch 10: Basic Logic of Factorial Designs

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Title: Ch 10: Basic Logic of Factorial Designs


1
Ch 10 Basic Logic of Factorial Designs
Interaction Effects
  • Part 1 Apr 1, 2008

2
  • Note skip the calculation sections of this
    chapter stop at Advanced Topic Figuring 2-Way
    ANOVA on p. 406 ? start again at 424.
  • Using a factorial research design
  • Effect of two or more independent (group)
    variables examined at once
  • Efficient research design
  • Interaction of the 2 independent variables are
    possible
  • Interaction effect
  • Combination of variables has a special effect
    such that the effect of one variable depends on
    the level of another variable

3
Interaction Effects
  • Example Lambert et al study
  • Manipulated job description for flight attendant
    to give stereotype-appropriate or inappropriate
    info (1 factor) and manipulated mood (sad v.
    neutral 2nd factor)
  • A Factorial design 2-way ANOVA (indicates 2
    IVs)

4
Basic Logic of Interaction Effects
  • 2 way ANOVA includes a focus on
  • 2 possible main effects Stereotype-appropriatenes
    s Mood
  • That is, regardless of mood, does stereotype
    appropriateness affect hiring decisions?
  • And, regardless of stereotype-appropriateness,
    does mood affect hiring decisions?
  • 1 possible interaction effect does the impact
    of mood on hiring depend on stereotype
    appropriateness?

5
Cont.
  • In 2-way ANOVA, with 2x2 table, each group is
    called a Cell
  • Notice 4 cell means and 4 marginal means
  • Cell mean is each groups mean
  • Marginal mean is overall mean for 1 var,
    regardless of group

6
2X2 Table (2-way ANOVA)
Mood
Sad
Neutral
Marginal Mean 1 6.77
Appropriate
Stereotype
Marginal Mean 4 6.29
Inappropriate
Marginal Mean 3 6.78
Marginal Mean 4 6.28
Note group sizes were equal
7
Basic Logic of the Two-Way ANOVA
  • We calculate 3 F ratios
  • Column main effect (for variable 1)
  • Row main effect (for variable 2)
  • Interaction effect (of variable 1 x variable 2)
  • F ratios for the row and column main effects
  • Based on deviations from marginal means
  • F ratio for the interaction effect
  • Based on deviations from cell means

8
Cont.
  • To examine main effects, focus on the marginal
    means
  • Main effect of Mood what is compared ?
  • Main effect of Stereotype what is compared?
  • To examine the interaction, focus on pattern of
    cell means

Mood
Sad
Neutral
6.77
Appropriate
Stereotype
6.29
Inappropriate
6.78
6.28
9
Interpreting Interactions Examining 2x2 Tables
  • Is the difference in cell means across the 1st
    row the same (direction and magnitude) as the
    difference in cell means in 2nd row?
  • If yes (same direction AND magnitude) ? no
    interaction,
  • If no (different direction OR magnitude) ?
    interaction
  • Here, for stereotype-appropriate row, difference
    is 7.73-5.80 1.93
  • For stereotype-inappropriate row, difference is
    5.83-6.75 -.92
  • So, in this exampledoes it look like an
    interaction?
  • Examples on board of combinations of main effects
    and interactions
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