2 Guilt in decision making. The effect of guilt emotion on how a decision maker focuses on a problem was in- vestigated in the January 2007 issue of the Journal of Behavioral Decision Making (see Exercise 3.48, p. 159). A sample of 77 volunteer students participated in one portion of the experiment, where each was randomly as- signed to one of three emotional states (guilt, anger, or neutral) through a reading/writing task. Immediately after the task, students were presented with a decision problem where the stated option had predominantly negative fea- tures (e.g., spending money on repairing a very old car). Prior to making the decision, the researchers asked each subject to list possible, more attractive alternatives. The re- searchers then compared the mean number of alternatives listed across the three emotional states with an analysis of variance for a completely randomized design. A partial ANOVA summary table is shown below. Source df F-Value p-Value Emotional State Error 2 74 22.68 0.001 Total 76 a. What conclusion can you draw from the ANOVA re-

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### Guilt in Decision Making

The effect of guilt on decision making was investigated in the January 2007 issue of the *Journal of Behavioral Decision Making*. A study of 77 volunteer students examined how different emotional states affect decision-making processes. Each participant was randomly assigned to one of three emotional states: guilt, anger, or neutral, through a reading/writing task.

After the task, they faced a decision problem where the provided option had predominantly negative features (e.g., deciding whether to spend money repairing an old car). Before making a decision, participants were asked to list possible, more appealing alternatives.

The researchers compared the average number of alternatives listed across the three emotional states using an analysis of variance (ANOVA) for a completely randomized design. Below is a partial ANOVA summary table:

| Source          | df | F-Value | p-Value |
|-----------------|----|---------|---------|
| Emotional State | 2  | 22.68   | 0.001   |
| Error           | 74 |         |         |
| Total           | 76 |         |         |

**a. What conclusion can you draw from the ANOVA results?**

The F-Value of 22.68 with a p-Value of 0.001 suggests that there is a statistically significant effect of emotional state on the number of alternatives listed. This indicates that the emotional state influences decision-making processes in this context.
Transcribed Image Text:### Guilt in Decision Making The effect of guilt on decision making was investigated in the January 2007 issue of the *Journal of Behavioral Decision Making*. A study of 77 volunteer students examined how different emotional states affect decision-making processes. Each participant was randomly assigned to one of three emotional states: guilt, anger, or neutral, through a reading/writing task. After the task, they faced a decision problem where the provided option had predominantly negative features (e.g., deciding whether to spend money repairing an old car). Before making a decision, participants were asked to list possible, more appealing alternatives. The researchers compared the average number of alternatives listed across the three emotional states using an analysis of variance (ANOVA) for a completely randomized design. Below is a partial ANOVA summary table: | Source | df | F-Value | p-Value | |-----------------|----|---------|---------| | Emotional State | 2 | 22.68 | 0.001 | | Error | 74 | | | | Total | 76 | | | **a. What conclusion can you draw from the ANOVA results?** The F-Value of 22.68 with a p-Value of 0.001 suggests that there is a statistically significant effect of emotional state on the number of alternatives listed. This indicates that the emotional state influences decision-making processes in this context.
**b.** A multiple comparisons of means procedure was applied to the data using an experimentwise error rate of 0.05. Explain what the 0.05 represents.

**c.** The multiple comparisons yielded the following results. What conclusion can you draw?

| Sample mean  | 1.90 | 2.17 | 4.75 |
|--------------|------|------|------|
| Emotional state | Angry | Neutral | Guilt |

### Explanation

- **Experimentwise Error Rate of 0.05:** This represents the probability of making at least one Type I error in a set of hypotheses tests. A Type I error occurs when a true null hypothesis is incorrectly rejected. The value 0.05 signifies a 5% risk of such errors.

### Analysis of Results

- **Sample mean for Angry:** 1.90
- **Sample mean for Neutral:** 2.17
- **Sample mean for Guilt:** 4.75

### Conclusion

The differences in the sample means suggest that there is a noticeable variation among the emotional states, with "Guilt" having a substantially higher mean. This may indicate that participants experiencing guilt exhibit a distinct behavior or response level compared to those in angry or neutral states. Further statistical analysis could confirm whether these differences are statistically significant.
Transcribed Image Text:**b.** A multiple comparisons of means procedure was applied to the data using an experimentwise error rate of 0.05. Explain what the 0.05 represents. **c.** The multiple comparisons yielded the following results. What conclusion can you draw? | Sample mean | 1.90 | 2.17 | 4.75 | |--------------|------|------|------| | Emotional state | Angry | Neutral | Guilt | ### Explanation - **Experimentwise Error Rate of 0.05:** This represents the probability of making at least one Type I error in a set of hypotheses tests. A Type I error occurs when a true null hypothesis is incorrectly rejected. The value 0.05 signifies a 5% risk of such errors. ### Analysis of Results - **Sample mean for Angry:** 1.90 - **Sample mean for Neutral:** 2.17 - **Sample mean for Guilt:** 4.75 ### Conclusion The differences in the sample means suggest that there is a noticeable variation among the emotional states, with "Guilt" having a substantially higher mean. This may indicate that participants experiencing guilt exhibit a distinct behavior or response level compared to those in angry or neutral states. Further statistical analysis could confirm whether these differences are statistically significant.
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