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Two-Way Between Groups ANOVA

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Two-Way Between Groups ANOVA

Chapter 14

- Are used to evaluate effects of more than one IV on a DV
- Can determine individual and combined effects of the IVs

- 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

- 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

- Cell: box depicting a unique combination of levels of IVs in a factorial design
- Main effect: When one IV influences the DV

- 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

- This is an interaction

- 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.