{% extends "global/Page.html" %} {% load otree static %} {% block styles %} {% endblock %} {% block title %} Instructions {% if player.randomized_order == 12 %} Part 1: {% endif %} {% if player.randomized_order == 21 %} Part 2: {% endif %} Estimation Situations {% endblock %} {% block content %} {% if player.cq_error %}
You did not answer all comprehension questions correctly. Please read the instructions again and correct your answers.
{% endif %}In {% if player.randomized_order == 12 %} Part 1, {% endif %} {% if player.randomized_order == 21 %} Part 2, {% endif %} you also have to complete 16 estimation situations. In every estimation situation, you have to report your best estimate of the probabilities with which (that is, how likely it is that) your {% if player.colors_reversed == 0 %} red {% endif %} {% if player.colors_reversed == 1 %} blue {% endif %} interaction partner chooses each of the {% if player.roles_reversed == 0 %} columns {% endif %} {% if player.roles_reversed == 1 %} rows {% endif %} in his or her own choice situation. You report your estimates using a slider.
In every estimation situation, you earn points based on the accuracy of your estimate. The accuracy of your estimate is determined using the so-called quadratic scoring rule. This rule is based on a mathematical formula that has the following properties:
It is not important for you to understand the mathematics behind the rule, as long as in every estimation situation, you base your estimate on the two properties listed above. Those interested in the formula and a mathematical proof of the properties can contact one of the researchers after the experiment.
Once you are certain that you have understood these instructions, press "Next" to continue to the second set of comprehension questions.