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PART 3 - INSTRUCTIONS
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In this part, you are asked to make a series of decisions from 32 tables. Similarly to the previous part, each row corresponds to a different situation in which you have to choose which option you prefer.

However, these tables differ slightly from the ones presented in the previous part.

Firstly, the payoff recipients of options (you or the charity) can vary from one table to another. Four cases arise:

You will go through all tables from one case (7 tables for each case), then another one, and so on. This part will thus be divided into 4 sub-parts, each involving one of the above cases. The order in which the cases are presented will be random. At the start of each sub-part, you will be informed of the case involved and will be reminded of the payoff recipients of each option.

Please find below an example of a table from case 3:


As you see, Option A involves you as the payoff recipient and Option B involves your charity as the payoff recipient.

Secondly, the payoffs of Option A are uncertain, they involve gaining £{{player.x1_me|floatformat:2 }} with some probability and receiving nothing otherwise. As you can see in the example above, in Option A, you can gain £{{player.x1_me|floatformat:2 }} with some probability and £0,00 otherwise. Within each case, the tables only differ in the probability of Option A. The probability information of having £{{player.x1_me|floatformat:2 }} will be presented as an urn with green and red balls at the top of the table. You can understand the probability of receiving £{{player.x1_me|floatformat:2 }} as the proportion of green balls. For example, if there are 60% of green balls and 40% of red balls, you have a 60% chance of gaining £{{player.x1_me|floatformat:2 }}. Further, the urn's composition is masked but you can reveal its content by placing the cursor in front of the mask

Place the mouse cursor here to display the urn

As you can see, by default the urn's composition is masked by a black box but you can see its content if you hover the cursor over the black box. Here, there are 60% of green balls and 40% of red balls. Please note that you are not expected to count the number of balls.

To summarize, for each decision, please pay attention to the following elements:

So that you can familiarize yourself with this part of the study, you will first train on 4 tables (one of each sub-part).

Outcome selection note: Please note that the following 28 tables (not including the 4 training ones) will be taken into account in the random selection of decisions at the end of the experiment. If one of the tables is randomly picked at the end of the experiment, a row from the table will be randomly selected. The corresponding amount of money of your choice in this specific row will generate either money for you or money for the charity. For example, let's take the 3rd row of the table shown above and imagine you've chosen Option A. If this line from this table is randomly picked, a single ball will be randomly drawn from the urn. If the ball is green, you will actually receive £{{player.x1_me|floatformat:2 }}, if the ball is red, you will receive nothing (either way the charity will receive nothing). If, on the other hand, you would have chosen Option B, you would receive nothing and the charity would actually receive £4,00.

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