Is there a statistician out there who knows how to analyze psychology surveys? Due to the way my response variable is structured in my data frame, I’m struggling to analyze it in R. Please, I desperately request help.
Attached is an example:
“In the following case, you must distribute 100 Euros among different qualities. You have the option to distribute the amount of money among all qualities or only among some.
Option_1 : _______
Option_2 : _______
Option_3 : _______
Option_4 : _______
Option_5 : _______
Option_6 : _______
Option_7 : _______
My data frame is in the following way, where the numbers correspond to the amount of money each subject assigned to each option:

     | Option_1 | Option_2 | Option_3 | Option_4 | Option_5 | Option_6 | Option_7 |
     | -------- | -------- | -------- | -------- | -------- | -------- | -------- |

subject_1| 0 | 20 | 20 | 10 | 30 | 20 | 0 |

This repeats for x subjects.
I then have the same question, but for 25 euros, and I need to compare Option_1 when there were 100 euros and when there where 25 euros.
That’s why I say the response variable and the explanatory variable (amount of money) are “mixed” and I can’t analyze it with a GLM ????”

I tried with chatGPT, but he/she/it clearly does not understand the problem of the response variable.