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  • The Rasch model is based on four assumptions: 1) in the model there is only one latent variable of interest, which is the focus of the measurement and all items tap into this latent variable; 2) the total scores over an item or a person contains sufficient information for calculation of the parameters of the model; 3) for a person, the response to different items are independent; 4) the relationship between the probability of a given score to an item i and the latent trait is described by a logistic curve.
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