The linear logistic model with relaxed assumptions
(LLRA) was developed for measuring changes in qualitative
data. It assumes item-specific person parameters
and thus does not require homogeneous items to be
presented to the persons at two points in time. The
hybrid variant of this model maintains the multidimensionality
of the person parameters, but it allows for
different sets of items each of which is presented only
once. In the model, a Rasch homogeneous item at2t
with possibly differing difficulty corresponds to each
item at t1. A short description of both models is followed
by a first application of the hybrid LLRA to empirical
data from a study on text comprehension. This
example not only serves to demonstrate possible results
when applying the LLRA, but is also used to outline
the principle of hypothesis testing and model controls.
Index terms: dichotomous data, linear logistic
model, measuring change, Rasch model, text comprehension.
Formann, Anton K & Spiel, Christiane. (1989). Measuring change by means of a hybrid variant of the linear logistic model with relaxed assumptions. Applied Psychological Measurement, 13, 91-103. doi:10.1177/014662168901300109
Formann, Anton K.; Spiel, Christiane.
Measuring change by means of a hybrid variant of the linear logistic model with relaxed assumptions.
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