Mellenbergh, Gideon J.Vijn, Pieter2011-02-162011-02-161981Mellenbergh, Gideon J & Vijn, Pieter. (1981). The Rasch model as a loglinear model. Applied Psychological Measurement, 5, 369-376. doi:10.1177/014662168100500310doi:10.1177/014662168100500310https://hdl.handle.net/11299/100412The Rasch model is formulated as a loglinear model. The goodness of fit and parameter estimates of the Rasch model can be obtained using the iterative proportional fitting algorithm for loglinear models. It is shown in an example that the relation between the estimates of the iterative proportional fitting algorithm and the unconditional maximum likelihood Rasch algorithm are almost perfectly linear. The Rasch model can be extended with a design for the items, which can be formulated as a loglinear model.enArticle