I am trying to extend the ideas of item response theory to multiple responses. Consider a marketing survey, which asks customers, “what’s the deciding factor in whether or not you purchase product X?” Where answers are {0: price, 1: durability, 2: ease-of-use}. Here is some synthetic data (rows are…

@MarcoGorelli , @PedroSebe , wow did I ever overcomplicate things! responses = np.array([ [0,1,2,2,2], [0,1,2,1,1], [0,1,2,0,0], [0,1,2,0,1], [0,1,2,1,0] ]).flatten() students = 5 questions = 5 categories = 3 with pm.Model() as model: z_s…

Multiple response model, broadcast failure?

Questions

PedroSebe November 19, 2020, 2:12pm 2

It seems that z_student has shape (students, categories) while z_question has shape (categories,questions), so you can’t subtract them.

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IRT w/ PyMC3, unusual number of parameters modeled?

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Multiple response model, broadcast failure?

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