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Can't get feedback with accuracy to work

edited October 2018 in OpenSesame


I'm working on a MET task (math) where the participant chooses from 5 different difficulty levels. Each difficulty level has a different maximum grade: level 1 - a 6, level 2 - a 7, level 3 - an 8, level 4 - a 9, level 5 - a 10.

I followed someones advice here on how to calculate the accuracy, and I tried calculating the accuracy (grade) by multiplying the acc with 0.6 - 1.0 for the different difficulty levels.

The problem is that it just gives a 6 if you've chosen difficulty level 1, regardless of the amount of correct answers. This is the same for each level, it just gives the maximum grade.

I hope someone can help me understand what I'm doing wrong here.

I'm sorry, but I don't know how to post the code in the correct format. This is the code for the inline script (run phase) which comes after the text input form in the experiment:

import numpy
import string

CR_ans_canvas = canvas()
CR_answer =  var.number1 + var.number2 + var.number3
exp.set("CR_answer", CR_answer)

if var.CR_response == CR_answer:
    var.set("CR_correct", 1)
    var.set("CR_late", 0)

    var.set("CR_correct", 0)
    var.set("CR_incorrect", 1)
    var.set("CR_late", 0)

if var.CR_response == "":
    var.set("CR_late", 1)
    var.set("CR_correct", 0)
    var.set("CR_incorrect", 0)

##update feedback variable

##show the answer_canvas

##set the total amount of responses (trials) to 5 
self.experiment.total_responses = 5

##if the response was correct, increase the amount of correct responses by one
if self.get("CR_correct") == 1:
    self.experiment.total_correct += 1

##save the total correct under the variable OpenSesame saves it to

##calculate the total accuracy
self.experiment.acc = 10 * (self.experiment.total_correct / self.experiment.total_responses)

##calculate the accuracy for the chosen levels
if var.response_KeuzeKey_CR == 1:
    self.experiment.acc = 0.6 * self.experiment.acc
elif var.response_KeuzeKey_CR == 2:
    self.experiment.acc = 0.7 * self.experiment.acc
elif var.response_KeuzeKey_CR == 3:
    self.experiment.acc = 0.8 * self.experiment.acc
elif var.response_KeuzeKey_CR == 4:
    self.experiment.acc = 0.9 * self.experiment.acc
elif var.response_KeuzeKey_CR == 5:
    self.experiment.acc = self.experiment.acc

##save the accuracy under the two variables OpenSesame saves it to


  • Hi,

    This looks like an integer division problem. See here for example:

    Does it work, if you replace self.experiment.acc = 10 * (self.experiment.total_correct / self.experiment.total_responses) with self.experiment.acc = 10 * (self.experiment.total_correct / float(self.experiment.total_responses))`?


  • Hi Eduard,
    Thanks for your suggestion, but it still doesn't work.
    It seems to me that something goes wrong with the (self.experiment.total_correct / float(self.experiment.total_responses)) part. Maybe it always returns 1 for some reason.

  • Maybe it always returns 1 for some reason.

    You can easily test that, by printing out the values of relevant variables into the debug window. E.g.

    self.experiment.acc = 10 * (self.experiment.total_correct / self.experiment.total_responses)
    print 'acc: ', self.experiment.acc
    print 'total_correct: ', self.experiment.total_correct
    print 'total_responses: ',self.experiment.total_responses

    That's generally the first thing you should do when you don't know why your code is not doing what it is supposed to do.


  • I tried, it it gives me an error:

    `self.experiment.acc = 10 * (self.experiment.total_correct / self.experiment.total_responses)
    print 'acc: ', self.experiment.acc
    print 'total_correct: ', self.experiment.total_correct
    print 'total_responses: ',self.experiment.total_responses

    NameErrorTraceback (most recent call last)
    in ()
    ----> 1 self.experiment.acc = 10 * (self.experiment.total_correct / self.experiment.total_responses)
    2 print 'acc: ', self.experiment.acc
    3 print 'total_correct: ', self.experiment.total_correct
    4 print 'total_responses: ',self.experiment.total_responses

    NameError: name 'self' is not defined`

  • I also saw this in the debug window: UserWarning: var name is stored as attribute of item experiment
    % (var,

  • Hi Femke,

    You have to run the experiment. Just copying the code to the window won't work. Can you try again? Or upload the experiment?

    (and sorry for the delay).

  • Hi Eduard,
    I tried running the experiment first, but that also didn't work. Can I email you the experiment? It needs excel files to run, so emailing would be easier I think.

  • Hi,

    You can zip everything and send it to me via a PM.


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