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Computer adaptive testing. --- Anthropology. --- Item response theory. --- Educational tests and measurements --- Psychological tests --- Psychometrics --- Human beings --- Adaptive testing, Computer --- CAT (Computer adaptive testing) --- Computer adaptive tests --- Computerized adaptive testing --- Ability --- Competency-based educational tests --- Testing --- Primitive societies --- Social sciences

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The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker’s ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensional abilities, sequencing adaptive test batteries, multistage adaptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing. It also shows how these features are used in the daily operations of several large-scale adaptive testing programs. Wim J. van der Linden is Chief Research Scientist at CTB/McGraw-Hill, Monterey, CA. His specialization is psychometric theory and methods, and he has been an active researcher of adaptive testing throughout his career. For Springer, he wrote Linear Models for Optimal Test Design (2005) and co-edited Handbook of Modern Item ResponseTheory (1997). He is a past president of the Psychometric Society and recipient of lifetime achievement awards from the National Council for Measurement in Education (NCME) and the Association of Test Publishers (ATP). Cees A. W. Glas is Professor of Social Science Research Methodology, University of Twente, the Netherlands. His specialization is psychometric theory and methods, with an emphasis on item response theory, adaptive testing, model fit analysis, and missing data. Professor Glas is a co-author of Educational Evaluation, Assessment, and Monitoring (Swets & Zetlinger, 2003). Currently, he is a member of the Editorial Board of Psychometrika and serves as a technical consultant to the OECD programs for international student assessment (PISA) and the assessment of adult competencies (PIAAC).

Computer adaptive testing. --- Educational tests and measurements. --- Graduate Management Admission Test. --- Psychometrics. --- Statistics. --- Computer adaptive testing --- Education --- Mathematics --- Theory & Practice of Education --- Mathematical Statistics --- Social Sciences --- Physical Sciences & Mathematics --- Achievement tests. --- Scholastic achievement tests --- School achievement tests --- Adaptive testing, Computer --- CAT (Computer adaptive testing) --- Computer adaptive tests --- Computerized adaptive testing --- Assessment. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Assessment, Testing and Evaluation. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Measurement --- Scaling --- Methodology --- Academic achievement --- Educational tests and measurements --- Examinations --- Ability --- Competency-based educational tests --- Testing --- Educational tests and measuremen. --- Statistics for Social Sciences, Humanities, Law. --- Statistics .

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Cognitive science is an interdisciplinary field in the study of the mind and intelligence. The term cognition refers to a variety of mental processes, including perception, problem solving, learning, decision making, language use, and emotional experience. The basis of the cognitive sciences is the contribution of philosophy and computing to the study of cognition. Computing is very important in the study of cognition because computer-aided research helps to develop mental processes, and computers are used to test scientific hypotheses about mental organization and functioning. This book provides a platform for reviewing these disciplines and presenting cognitive research as a separate discipline.

computer adaptive testing --- code tracing --- basic programming skills --- internet of thing (IoT) --- eye tracking --- heart rate (HR) --- measurements --- data analysis --- Internet addiction --- dysfunctional emotions --- coping strategies --- emotional problems --- human–AI interaction --- interaction design --- Kansei engineering --- user satisfaction --- voice-based intelligent system --- dynamic gesture recognition --- gesture spotting --- self-organizing map --- computational psychology --- computational cognitive modeling --- machine learning --- concept blending --- conceptual combinations --- recall --- computational creativity --- cognition --- instance selection --- clustering --- information processing --- cognitive aspects --- remote --- virtual simulation --- incident commander --- user experiences --- problem solving --- decision making --- assessment --- learning --- privacy-preserving computations --- homomorphic encryption --- EEG signals --- school children --- functional vision --- vision screening --- vision training --- eye-tracking --- stakeholders --- human–robot interaction --- social gaze --- eye-to-eye contact --- emotional interfaces --- eye–brain–computer interfaces --- attention --- reflection --- usability --- brain hemispheric lateralization --- online educational material --- instructional design --- methodology --- model --- virtual reality --- virtual environment --- stress --- spaceflight --- training --- EEG --- emotion --- neural networks --- M3GP --- BED --- Emotiv --- multiclass --- deep learning --- traffic accident --- spatially prolonged risk --- Gestalt --- proximity --- open data --- n/a --- human-AI interaction --- human-robot interaction --- eye-brain-computer interfaces