In open and higher education, digital technologies are increasingly used to enable flexible learning pathways and unbundle programs into separate courses. Whereas technologies have been praised for enhancing the flexibility of curricula, the implications of going digital have yet to be fully explored in curriculum studies. This article aims to…

The concept of sequential estimation is introduced in multidimensional scaling. The sequential estimation method developed in this paper refers to continually updating estimates of a configuration as new observations are added. Using artificial data, the performance of this sequential method is illustrated. (Author/JKS)

Describes a Rasch rating scale analysis of a multi-occasion evaluation that produces confusing results when subjected to separate calibrations. Applies a correction algorithm developed by B. Wright (1996) to show how the Wright algorithm can reduce misfit to the Rasch rating scale model as well as changing the interpretation of change. (SLD)

A statistical method for testing the agreement between a judge's assessment of an object or subject and a known standard is developed and shown to be superior to two other methods which appear in the literature. (Author/JKS)

This study examines the application of the marginal maximum likelihood (MML) EM algorithm to the parameter estimation problem of the three-parameter normal ogive and logistic polychotomous item response models. A three-parameter normal ogive model, the Graded Response model, has been developed on the basis of Samejima's two-parameter graded…

The present study devised a computerized assignment-by-preference algorithm for a ninth-grade exploratory curriculum. The problem addressed was one of maximally mapping all students into 8 of 12 vocational programs in terms of their preferences for studying each of the programs and the assignment restrictions established by the school. To minimize…