TwoWay Between Groups ANOVA Chapter 14 TwoWay ANOVAs
Two-Way Between Groups ANOVA Chapter 14
Two-Way ANOVAs • Are used to evaluate effects of more than one IV on a DV • Can determine individual and combined effects of the IVs
The basic 2 Way. ANOVA situation 2 or more Nominal Independent Variable with two or more levels 1 Scale Dependent Variable Effects of Drug and Age on recovery time Effects of Exercise and Diet on number of friends Effects of Toy Color and Gender on toy popularity
One Way ANOVA is Limited Avg Weekly Hours Workout 7 Sex Differences in Workout Hours/Week 6 5 4 3 Total 2 1 0 Female Male Sex • Previous data, hour of exercise by relationship status. If I want to look at sex differences for hours of exercise, I have to do a second one-way ANOVA, and it will not tell me if there is a connection between sex and relationship status on hours of exercise.
Testing for Interactions • An interaction occurs when two IVs have an effect in combination that we do not see when looking at each IV individually • Two-Way ANOVAs include to nominal IVs and a scale DV • Factorial ANOVA uses one scale DV and at least two nominal IVs (factors) – Factor: IV in a study with more than one IV
Why Use Two-Way ANOVAs • To evaluate effects of two IVs, it is more efficient to do a single study than two studies with one IV each. • Can explore interactions between variables
More ANOVA Vocabulary • Cell: box depicting a unique combination of levels of IVs in a factorial design • Main effect: When one IV influences the DV
Two Types of Interactions in ANOVA • Quantitative: interaction in which one IV exhibits strengthening or weakening of its effects at one or more levels of the other IV, but the direction of the effect does not change • Qualitative: interaction of two or more IVs in which one IV reverses its effect depending on the level of the other IV
What if both IVs influence the DV? • This is an interaction
Understanding Graphs • Main Effects: distance between lines • Quantitative
Understanding Graphs • Interactions: slopes of lines • Qualitative
Six Steps for Two-Way Between. Groups ANOVA • Step 1. Identify the populations, distribution, and assumptions. • Step 2. State the null and research hypotheses. • Step 3. Determine the characteristics of the comparison distribution. • Step 4. Determine critical values, or cutoffs. • Step 5. Calculate the test statistic. • Step 6. Make a decision.
df Formulae for ANOVAs
Determining the Cutoff Point
Effect Size for Two-Way ANOVA
Variations on ANOVA
- Slides: 40