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9: Factorial Designs
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- 9.1: Factorial Designs
- Schnall and her colleagues investigated whether feeling physically disgusted causes people to make harsher moral judgments. They manipulated participants’ feelings of disgust by testing them in either a clean room or a messy room that contained dirty dishes, an overflowing wastebasket, and a chewed-up pen. They also used a self-report questionnaire to measure the amount of attention that people pay to their own bodily sensations. They called this “private body consciousness.”
- 9.2: Setting Up a Factorial Experiment
- By far the most common approach to including multiple independent variables (which are often called factors) in an experiment is the factorial design. In a factorial design, each level of one independent variable is combined with each level of the others to produce all possible combinations. Each combination, then, becomes a condition in the experiment. Imagine, for example, an experiment on the effect of cell phone use (yes vs. no) and time of day (day vs. night) on driving ability.
- 9.3: Interpreting the Results of a Factorial Experiment
- The results of factorial experiments with two independent variables can be graphed by representing one independent variable on the x-axis and representing the other by using different colored bars or lines.
- 9.4: Factorial Designs (Summary)
- Key Takeaways and Exercises for the chapter on Factorial Designs.