ABSTRACT-The equating of scores on alternate forms of differdnt achievement tests through the use of the three-parameter latent trait model, item-rbsponse theory (IRT) equating, was compared with the results of score equatings basedon conventional linear and curvilinear equating models. Ten

posits that if a peer has a particular piece of content that one is interested in, it is very likely that it will have other items that one is interested in as well. When using our algorithm, called interest-based shortcuts,asignificant amount of flooding can be avoided, making Gnutella a more

Information filtering agents and collaborative filtering both attempt to alleviate information overload by identifying which items a user will find worthwhile. Information filtering (IF) focuses on the analysis of item content and the development of a personal user interest profile. Collaborative

used 4-factor 20-item CES-D model. The goal of the current study was to address these concerns by confirming the factorial validity of the CES-D. Methods and Findings: Differential item functioning estimates were used to examine sex biases in item responses, and confirmatory factor analyses were used

1 In an attempt to eliminate similar item content as an alternative explanation for the relation between depression and rumination, a secondary analysis was conducted using the data from S.

they provide a good substrate for creating large-scale data sharing, content distribution and application-level multicast applications. These P2P networks try to provide a long list of features such as: selection of nearby peers, redundant storage, efficient search/location of data items, data permanence

Objectives: To undertake a systematic review on structured violence risk assessment tools in individuals with schizophrenia. Methods: A systematic search was conducted from 1990 to 2011 to identify violence risk assessment tools and studies examining their predictive validity. Item content

time to track their evolving interests. Fab is such a recommendation system for the Web, and has been operational in several versions since December 1994. The problem of recommending items from some fixed database has been studied extensively, and two main paradigms have emerged. In content

Several approaches to collaborative filtering have been studied but seldom have studies been reported for large (several million users and items) and dynamic (the underlying item set is continually changing) settings. In this paper we describe our approach to collaborative filtering for generating

This paper presents a multistage adaptive testing test development paradigm that promises to handle content balancing and other test development needs, psychometric reliability concerns, and item exposure. The bundled multistage adaptive testing (BMAT) framework is a modification of the computer