Generalized linear item response theory.

Abstract

In this article generalized linear item response theory is discussed, which is based on the following assumptions: (a) A distribution of the responses occurs according to a given item format; (b) the item responses are explained by one continuous or nominal latent variable and p latent as well as observed variables that are continuous or nominal; (c) the responses to the different items of a test are independently distributed given the values ofthe explanatory variables; and (d) a monotone differentiable function g of the expected item response τ is needed such that a linear combination of the explanatory variables is a predictor of g(τ)

Cites (2)

1. A Rasch model for partial credit scoring
   Masters, Geoff N. · 1982 · Psychometrika
2. Item bias and item response theory
   Mellenbergh, Gideon J. · 1989 · International Journal of Educational Research

Show all 2 references

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