Please complete the rest of the follow-up questionnaire below. When you have finished, click "Next" to learn your results from the experiment and receive your Study Code to enter into the MTurk site.
2. How difficult did you find the letter-number decoding task to be?
| {% formfield player.peq_decoding_difficulty %} |
3. How much did you enjoy the task of choosing between possible capital projects to implement in your division?
| {% formfield player.peq_choice_enjoyment %} |
4. How difficult did you find it to choose a project from each of the pairs of projects presented to you?
| {% formfield player.peq_choice_difficulty %} |
5. Please indicate how strongly you agree with the following statement:
{% if condition == 1 %}My project selection decisions were influenced by trying to achieve positive residual income.
{% elif condition == 2 %}My project selection decisions were influenced by trying to achieve my division’s required return on investment.
{% elif condition == 3 %}My project selection decisions were influenced by trying to achieve net income above $70, which reflects my division's required return on projects.
{% endif %}| {% formfield player.peq_threshold_salience %} |
6. Please indicate how important each of the following factors were in your project selection decisions:
| The highest possible payoff for the project | |
| {% formfield player.peq_importance_max_payoff %} | |
| The odds of achieving the highest possible payoff for the project | |
| {% formfield player.peq_importance_max_odds %} | |
| The lowest possible payoff for the project | |
| {% formfield player.peq_importance_min_payoff %} | |
| The odds of achieving the lowest possible payoff for the project | |
| {% formfield player.peq_importance_min_odds %} | |
| The most "likely" payoff(s) for the project | |
| {% formfield player.peq_importance_likely_payoff %} | |
| The odds of achieving an outcome that resulted in a bonus to you of greater than $0. | |
| {% formfield player.peq_importance_bonus_proportion %} | |
7. Based on the five projects you selected for implementation in your division, what is the approximate amount of bonus compensation you expect to receive from the outcomes of those projects?
| $ | {% formfield player.peq_expected_bonus %} |
8. How did you go about making your project selection decisions?
| {% formfield player.peq_open_ended %} |
9. How would you classify your reason(s) for working on Amazon Mechanical Turk?
| {% formfield player.peq_turk_income %} |
10. In general, would you consider yourself someone who is fully prepared to take risks, or do you try to avoid taking risks?
| {% formfield player.peq_risk_attitude %} |
11. Please indicate the extent to which you have felt the following today:
| Excited | |
| {% formfield player.peq_affect_excited %} | |
| Upset | |
| {% formfield player.peq_affect_upset %} | |
| Proud | |
| {% formfield player.peq_affect_proud %} | |
| Irritable | |
| {% formfield player.peq_affect_irritable %} | |
| Inspired | |
| {% formfield player.peq_affect_inspired %} | |
| Nervous | |
| {% formfield player.peq_affect_nervous %} | |
Please answer these demographic questions:
Gender
| {% formfield player.peq_gender %} |
Age
| {% formfield player.peq_age_range %} |
Years of work experience
| {% formfield player.peq_work_experience %} |
Level of highest education
| {% formfield player.peq_education %} |
Number of courses taken in Accounting and/or Finance
| {% formfield player.peq_accounting %} |