Abstract
Switching a testing program from a linear to an adaptive format increases its efficiency considerably. The gain in efficiency can be used to shorten the length of the test or increase the accuracy of the scores. The gain is especially relevant to testing programs in which a battery of tests has to be administered in a single session but the testing time has to remain feasible. Examples of such programs are diagnostic testing for instructional purposes (e.g., Boughton, Yao, & Lewis 2006; Yao & Boughton, 2007) and large-scale assessments of education. These programs generally involve the reporting of profiles of scores of students, schools, or districts. In order to use such profiles for decision making, each of their individual scores should have satisfactory accuracy. The more advantageous combination of testing time and score accuracy made possible by the use of a battery of adaptive instead of linear tests has been highlighted earlier, for instance, in Brown and Weiss (1977) and Giallucca andWeiss (1979).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Birnbaum, A. (1968). Some latent trait models and their use in inferring an examinee’s ability. In F. M. Lord & M. R. Novick, Statistical theories of mental test scores (pp. 397–479). Reading, MA: Addison-Wesley.
Boughton, K. A., Yao, L. & Lewis, D. M. (2006, April). Reporting diagnostic subscale scores for tests composed of complex structure. Paper presented at the annual meeting of the National Council on Measurement in Education, San Francisco.
Brown, J. M. & Weiss, D. J. (1977). An adaptive testing strategy for achievement test batteries (Research Report 77-6). Minneapolis, MN: University of Minnesota, Psychometric Methods Program.
Gialluca, K. A. & Weiss, D. J. (1979). Efficiency of an adaptive inter-subtest branching strategy in the measurement of classroom achievement (Research Report 79-6). Minneapolis, MN: University of Minnesota, Psychometric Methods Program.
Hambleton, R. K. & Swaminathan, H. (1985). Item response theory: Principles and applications. Boston: Kluwer-Nijhof Publishing.
Mulder, J. & van der Linden, W. J. (2009). Multidimensional adaptive testing with optimal design criteria for item selection. Psychometrika, 74. In press.
Segall, D. O. (1996). Multidimensional adaptive testing. Psychometrika, 61, 331–354.
Thissen, D. & Mislevy, R. J. (2000). Testing algorithms. In H. Wainer, N. J. Dorans, R. Flaugher, B. F. Green, R. J. Mislevey, L. Steinberg & D. Thissen. Computerized adaptive testing: A primer (pp. 103–135). Mahwah, NJ: Erlbaum.
van der Linden, W. J. (1998). Bayesian item selection criteria for adaptive testing. Psychometrika, 63, 201–216.
van der Linden, W. J. (2005). Linear models for optimal test design. New York: Springer-Verlag.
van der Linden, W. J. (2008). Using response times for item selection in adaptive testing. Journal of Educational and Behavioral Statistics, 33, 5–20.
van der Linden, W. J. & Veldkamp, B. P. (2004). Constraining item exposure rates in computerized adaptive testing with shadow tests. Journal of Educational and Behavioral Statistics, 29, 273–291.
van der Linden, W. J. & Veldkamp, B. P. (2007). Conditional item-exposure control in adaptive testing using item-ineligibility probabilities. Journal of Educational and Behavioral Statistics, 32, 398–418.
Veldkamp, B. P. & van der Linden, W. J. (2002). Multidimensional adaptive testing with constraints on test content. Psychometrika, 67, 575–588.
Wainer, H., Vevea, J. L., Canachi, F., Reeve III, B. B., Rosa, K., Nelson, L., Swygert, K. A. & Thissen, D. (2001). Augmented scores–“Borrowing strength” to compute scores based upon small numbers of items. In H. Wainer & D. Thissen (Eds.), Test scoring (pp. 343–387). Mahwah, NJ: Erlbaum.
Yao, L. & Boughton, K. A. (2007). A multidimensional item response modeling approach for improving subscale proficiency estimation and classification. Applied Psychological Measurement, 31, 83–105.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
van der Linden, W.J. (2009). Sequencing an Adaptive Test Battery. In: van der Linden, W., Glas, C. (eds) Elements of Adaptive Testing. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-0-387-85461-8_5
Download citation
DOI: https://doi.org/10.1007/978-0-387-85461-8_5
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-85459-5
Online ISBN: 978-0-387-85461-8
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)