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Two-Way ANOVA PDF

33 Pages·2010·0.45 MB·English
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Two-Way ANOVA Chapter 11 Golf anyone? A sports psychologist is interest in comparing the effects of two instructional methods on golf performance. 100 novice golfers (50 boys and 50 girls) IV: Method Type Method I Method II DV: Golf proficiency 65 55 Gender Effects 100 novice golfers IV: Sex 50 Boys 50 Girls DV: Golf proficiency 60 60 Can we ignore sex in our interpretation of the Method Type effect? Factorial Design Method I II Girls 55 65 60 Boys 75 45 60 65 55 The instructional method interacts with sex 80 70 60 I 50 II 40 30 20 Girls Boys “Interaction” Defined An interaction is present when the effects of one IV depend upon a second IV “Interaction effect”: The effect of each IV across the levels of the other IV When there is an Ia, the effect of one IV depends on the level of the other IV 80 70 60 I 50 II 40 30 20 Girls Boys Factorial designs: Designs with more than 1 IV Levels of processing lab  IV: conditions (3 levels: letter, rhyme, sentence)  IV: correct response (2 levels: yes, no)  DV: accuracy  Therapy and disorder  IV: therapy (3 levels: psychoanalysis, behavioral, none)  IV: disorder (3 levels: depression, anxiety, schizophrenia)  Complete factorial design  All levels of each IV are paired w/ all levels of other IV  Incomplete factorial design  Not all levels of each IV are paired  Factorial notation  # levels of IV x # levels of IV  1 2 E.g.: 2 x 2 design vs. 3 x 2 design vs. 3 x 2 x 4 design etc.!!  Outcomes from Factorial ANOVA Experiment has two factors, A and B Each has 2 levels (so, 2 x 2 ANOVA) B1 B2 A1 30 30 A1 Mean=30 10 point difference A2 40 40 A2 Mean=40 B1 Mean B2 Mean =70 =35 =35 =70 Main Effect of A No Difference Data show main effect of A No main effect of B No Main Effect of B No interaction Outcomes from Factorial ANOVA Experiment has two factors, A and B 2 x 2 ANOVA B1 B2 A1 30 40 A1 Mean=35 10 point difference A2 40 50 A2 Mean=45 B1 Mean B2 Mean =80 =35 =45 =80 Main Effect of A 10 point difference Data show main effect of A Data show main effect of B Main Effect of B No interaction Outcomes from Factorial ANOVA Experiment has two factors, A and B 2 x 2 ANOVA B1 B2 A1 10 20 A1 Mean=15 0 point difference A2 20 10 A2 Mean=15 40 B1 Mean B2 Mean 20 =15 =15 No Main Effect of A 0 point Difference No main effect of A No main effect of B No Main Effect of B Data show an interaction Line graphs: main effects and interaction 50 60 50 40 40 30 30 20 20 10 10 1 2 1 2 25 20 15 10 5 0 1 2

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effects of two instructional methods on golf performance. 100 novice golfers Experiment has two factors, A and B. Each has 2 Fall GPA). ▫ What are benefits of this design? .. Partitioning the Variance in Factorial ANOVA. 2-way
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