Abstract
The purpose of this study is to compare the results of computer based linear Turkish Pupil Monitoring System (TPMS) administrations with Computerized Adaptive Testing (CAT) and Multi Stage Adaptive Testing (MSAT) results in mathematics assessment. On the basis of the real data obtained from TPMS, different CAT scenarios were tested in post-hoc simulations with various starting rules, termination criteria, and different control strategies of CAT using either Maximum Likelihood (ML) or Weighted Maximum Likelihood (WML) estimation procedures. Results of the CAT study indicated that WML with easy initial item difficulty, fixed test reliability termination along with item exposure and content control strategies produced defensible results. Alternatively, a multi stage scenario was designed to compare the efficiency of CAT and MSAT. Examinees were administered a fixed subtest with 15 items followed by two subtests having ten items each. Using MSAT in TPMS seemed to be producing more valid results in terms of content sampling than CAT.
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References
Boyd AM, Dodd BG, Choi SW (2010) Polytomous models in computerized adaptive testing. In: Nering ML, Ostini R (eds) Handbook of polytomous item response theory models. Routledge, New York, pp 229–255
Eggen TJHM, Straetmans GJJM (2000) Computerized adaptive testing for classifying examinees in three categories. Educ Psychol Measu 60:713–734
Eggen TJHM, Verschoor AJ (2006) Optimal testing with easy or difficult items in computerized adaptive testing. Appl Psychol Meas 30:379–393
Glas CAW, Geerlings H (2009) Psychometric aspects of pupil monitoring systems. Stud Educ Eval 35:83–88
İş Güzel Ç, Berberoğlu G, Demirtaşlı N, Arıkan S, Özgen Tuncer Ç (2009) Öğretim programlarının öğrenme çıktıları açısından değerlendirilmesi. Cito Egitim: Kuram ve Uygulama, Sayı 6:9–30
Kingsbury GG, Zara AR (1991) A comparison of procedures for content-sensitive item selection in computerized adaptive tests. Appl Meas Educ 4:241–261
Macken-Ruiz CL (2008) A comparison of multi-stage and computerized adaptive tests based on the generalized partial credit model. Dissertation Presented to the Faculty of the Graduate School of the University of Texas at Austin
Özgen Tuncer Ç (2008) Cito Turkiye öğrenci izleme sistemi (ÖIS) ve ÖİS’te soru geliştirme süreci. Cito Eğitim: Kuram ve Uygulama, Tanıtım Sayısı, pp 22-26
Rotou O, Patsula L, Manfred S, Rizavi S (2003) Comparison of multi-stage tests with computerized adaptive and paper and pencil tests. Paper presented at the annual meeting of the American Educational Research Association (AERA) and the National Council on Measurement in Education (NCME) held between April 21–25, 2003, Chicago, IL
Sympson JB, Hetter RD (1985) Controlling item-exposure rates in computerized adaptive testing. In: Proceedings of the 27th annual meeting of the Military Testing Association, San Diego, CA: Navy Personnel Research and Development Center, pp 973–977
Vlug KMF (1997) Because every pupil counts: the success of the pupil monitoring system in the Netherlands. Educ Inf Technol 2(4):287–306
Wainer H, Kiely GL (1987) Item clusters and computerized adaptive testing: a case for testlets. J Educ Meas 24:185–201
Wainer H, Dorans NJ, Green FB, Steinberg L, Flaugher R, Mislevy RJ, Thissen D (1990) Computerized adaptive testing: a primer. Lawrence Erlbaum Associates Inc., Mahwah
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Gökçe, S., Berberoğlu, G. (2015). Comparison of Linear, Computerized Adaptive and Multi Stage Adaptive Versions of the Mathematics Assessment of Turkish Pupil Monitoring System. In: Millsap, R., Bolt, D., van der Ark, L., Wang, WC. (eds) Quantitative Psychology Research. Springer Proceedings in Mathematics & Statistics, vol 89. Springer, Cham. https://doi.org/10.1007/978-3-319-07503-7_9
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DOI: https://doi.org/10.1007/978-3-319-07503-7_9
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