Random Item Response Model Approaches to Evaluating Item Format Effects

Erratum to: Fitting an item response theory model with random item effects across groups by a variational approximation

Linking Item Response Model Parameters

With a few exceptions, the problem of linking item response model parameters from different item calibrations has been conceptualized as an instance of the problem of test equating scores on different test forms. This paper argues, however, that the use of item response models does not require any test score equating. Instead, it involves the necessity of parameter linking due to a fundamental ...

A Skew Item Response Model

We introduce a new skew-probit link for item response theory (IRT) by considering an accumulated skew-normal distribution. The model extends the symmetric probit-normal IRT model by considering a new item (or skewness) parameter for the item characteristic curve. A special interpretation is given for this parameter, and a latent linear structure is indicated for the model when an augmented like...

Methods for Creating and Evaluating the Item Model Structure Used In Automatic Item Generation

represents a relatively new but rapidly evolving research area where cognitive theories, computer technologies, and psychometric practices are used to generate items. In its most ambitious form, AIG can be described as the process of using models to generate statistically calibrated items with the aid of computer technology. Significant developments in AIG research and practice have occurred in...

ITEM Strategic Planning: Two Approaches

Best practice in IT for Educational Management (ITEM) promotes the value of robust strategic planning. In schools, however, the experience of the 1980s and early 1990s suggested that school senior management teams were inadequately trained and prepared for managing the development of an ITEM Strategic Plan and driving its implementation. From around 1995 to the present day, school management te...