Issues and questions for running the project

[radhikasethi2011]

I have a dataset where there are 5 concepts and each concept has multiple items and there are student observations for the items ie if they attempted it correctly or not. Now while running pyirt I have these questions.

• Is there any way to set the default values of alpha, beta, theta initially? From what I could learn that you have just mentioned bounds.

• How is the algorithm running? I mean does it run on the entire database which has multiple concepts or is it running on individual concepts that have multiple items.

• I ran the algorithm at concept level for beta range of 0-1 and found that beta values come out mostly 0. Do you know any reason why this could be happening?

• How did you come up with the default values and what is the explanation for it?

• adding our data for actual vs predicted output by the pyirt library -

Item ID	Actual Discrimination	Actual Difficulty	Predicted Discrimination	Predicted Difficulty
item1	92.177	0.41404	9.696222165393651	0.03189432377525194
item2	74.092	0.39517	23.581584962133306	0.0
item3	31.352	0.40759	1.2933333754068872	0.6941432833146606

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