%0 Journal Article %J Journal of Computerized Adaptive Testing %D 2015 %T Implementing a CAT: The AMC Experience %A Barnard, John J %K adaptive %K Assessment %K computer %K medical %K online %K Testing %B Journal of Computerized Adaptive Testing %V 3 %P 1-12 %G English %U http://www.iacat.org/jcat/index.php/jcat/article/view/52/25 %N 1 %9 Applications and Implementations %R 10.7333/15100301001 %0 Report %D 2002 %T Mathematical-programming approaches to test item pool design %A Veldkamp, B. P. %A van der Linden, W. J. %A Ariel, A. %K Adaptive Testing %K Computer Assisted %K Computer Programming %K Educational Measurement %K Item Response Theory %K Mathematics %K Psychometrics %K Statistical Rotation computerized adaptive testing %K Test Items %K Testing %X (From the chapter) This paper presents an approach to item pool design that has the potential to improve on the quality of current item pools in educational and psychological testing and hence to increase both measurement precision and validity. The approach consists of the application of mathematical programming techniques to calculate optimal blueprints for item pools. These blueprints can be used to guide the item-writing process. Three different types of design problems are discussed, namely for item pools for linear tests, item pools computerized adaptive testing (CAT), and systems of rotating item pools for CAT. The paper concludes with an empirical example of the problem of designing a system of rotating item pools for CAT. %I University of Twente, Faculty of Educational Science and Technology %C Twente, The Netherlands %P 93-108 %@ 02-09 %G eng %0 Journal Article %J Assessment %D 2002 %T A structure-based approach to psychological measurement: Matching measurement models to latent structure %A Ruscio, John %A Ruscio, Ayelet Meron %K Adaptive Testing %K Assessment %K Classification (Cognitive Process) %K Computer Assisted %K Item Response Theory %K Psychological %K Scaling (Testing) %K Statistical Analysis computerized adaptive testing %K Taxonomies %K Testing %X The present article sets forth the argument that psychological assessment should be based on a construct's latent structure. The authors differentiate dimensional (continuous) and taxonic (categorical) structures at the latent and manifest levels and describe the advantages of matching the assessment approach to the latent structure of a construct. A proper match will decrease measurement error, increase statistical power, clarify statistical relationships, and facilitate the location of an efficient cutting score when applicable. Thus, individuals will be placed along a continuum or assigned to classes more accurately. The authors briefly review the methods by which latent structure can be determined and outline a structure-based approach to assessment that builds on dimensional scaling models, such as item response theory, while incorporating classification methods as appropriate. Finally, the authors empirically demonstrate the utility of their approach and discuss its compatibility with traditional assessment methods and with computerized adaptive testing. (PsycINFO Database Record (c) 2005 APA ) (journal abstract) %B Assessment %V 9 %P 4-16 %G eng