TY - JOUR
T1 - Implementing a CAT: The AMC Experience
JF - Journal of Computerized Adaptive Testing
Y1 - 2015
A1 - Barnard, John J
KW - adaptive
KW - Assessment
KW - computer
KW - medical
KW - online
KW - Testing
VL - 3
UR - http://www.iacat.org/jcat/index.php/jcat/article/view/52/25
IS - 1
ER -
TY - RPRT
T1 - Mathematical-programming approaches to test item pool design
Y1 - 2002
A1 - Veldkamp, B. P.
A1 - van der Linden, W. J.
A1 - Ariel, A.
KW - Adaptive Testing
KW - Computer Assisted
KW - Computer Programming
KW - Educational Measurement
KW - Item Response Theory
KW - Mathematics
KW - Psychometrics
KW - Statistical Rotation computerized adaptive testing
KW - Test Items
KW - Testing
AB - (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.
PB - University of Twente, Faculty of Educational Science and Technology
CY - Twente, The Netherlands
SN - 02-09
N1 - Using Smart Source ParsingAdvances in psychology research, Vol. ( Hauppauge, NY : Nova Science Publishers, Inc, [URL:http://www.Novapublishers.com]. vi, 228 pp
ER -
TY - JOUR
T1 - A structure-based approach to psychological measurement: Matching measurement models to latent structure
JF - Assessment
Y1 - 2002
A1 - Ruscio, John
A1 - Ruscio, Ayelet Meron
KW - Adaptive Testing
KW - Assessment
KW - Classification (Cognitive Process)
KW - Computer Assisted
KW - Item Response Theory
KW - Psychological
KW - Scaling (Testing)
KW - Statistical Analysis computerized adaptive testing
KW - Taxonomies
KW - Testing
AB - 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)
VL - 9
ER -