fixes for clarity
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@ -4,6 +4,9 @@ class ItemInformationFunction():
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def __init__(self, irt_model):
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self.model_data = irt_model
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# determines the amount of information for a given question at a given theta (ability level)
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# further detailed on page 161, equation 4 here:
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# https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978482/pdf/10.1177_0146621615613308.pdf
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def calculate(self, **kwargs):
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if self.model_data.model == '3PL':
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p = ThreeParameterLogistic(self.model_data, kwargs).result()
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@ -6,6 +6,10 @@ class ThreeParameterLogistic:
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self.e = 2.71828
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self.theta = kwargs['theta']
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# contains the primary 3pl function, determining the probably of an inidividual
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# that an individual at a certain theta would get a particular question correct
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# detailed further on page 161, equation 1 here:
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# https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978482/pdf/10.1177_0146621615613308.pdf
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def result(self):
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a = self.model_params.a_param
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c = self.model_params.c_param
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@ -5,6 +5,10 @@ class TestInformationFunction():
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self.irt_model = irt_model
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self.iif = ItemInformationFunction(irt_model)
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# determins the amount of information
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# at a certain theta (ability level) of the sum of a question set correct
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# detailed further on page 166, equation 4 here:
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# https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978482/pdf/10.1177_0146621615613308.pdf
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def calculate(self, items, **kwargs):
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sum = 0
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@ -6,6 +6,10 @@ class TestResponseFunction():
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self.irt_model = irt_model
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self.irf = ItemResponseFunction(irt_model)
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# determins the probably of an inidividual
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# at a certain theta (ability level) would get a sum of questions correct
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# detailed further on page 166, equation 3 here:
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# https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978482/pdf/10.1177_0146621615613308.pdf
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def calculate(self, items, **kwargs):
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sum = 0
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