Commonly applied item response theory (IRT) measurement models stipulate a single
continuous latent variable (typically labeled “θ”) to represent individual differences on a …

A multidimensional Rasch-type item response model, the multidimensional random
coefficients multinomial logit model, is presented as an extension to the Adams & Wilson …

Liabilities to complex disorders, discussed in the accompanying paper, present difficulties in
measurement related to the arbitrariness of diagnostic threshold definitions and problems …

The act of constructing a measure requires a number of important assumptions. Principle
among these assumptions is that the construct is unidimensional. In practice there are many …

The model in Equation 15 can be expressed as~(0)=~(0)-~(e)(~= 1, 2,...,~,),(19)
where~~(8)= 1 and PK,(0)= 0. In Equation 19~;(8)'represents the probability, given 8, of …

Although computer-based tests (CBT) have been administered for many years,
improvements in the speed and power of computers coupled with reductions in their cost …

The effects of test dimensionality (one-or three-dimensional), distribution shape (normal,
positively skewed, or platykurtic), and estimation program (BILOG, MULTILOG, or …

Multidimensional item response theory (MIRT) com puterized adaptive testing, building on
recent work by Segall (1996), is applied in a licensing/certification context. An example of a …

Most item response theory models assume a uni-dimensional latent space. This study
extended previous work on the effects of dimensionality on parameter estimation for …

The dimensionality of a reading comprehension assessment with non-stem equivalent
multiplechoice (MC) items and open-ended (OE) items was analyzed with German test data …