TY - JOUR
T1 - Adaptive measurement of individual change
AU - Kim-Kang, Gyenam
AU - Weiss, David J.
PY - 2008
Y1 - 2008
N2 - Adaptive measurement of change (AMC) was investigated by examining the recovery of true change. Monte Carlo simulation was used to compare three conventional testing (CT) methods with AMC. The CTs estimated individual change moderately well when the test was highly discriminating and when the θ level matched the test difficulty. However, AMC measured individual change equally well across the entire range of ft AMC with more discriminating items produced the most precise estimates of individual change. AMC was shown to be superior to CTs under all conditions examined. In addition, AMC is efficient - it can dramatically reduce the number of items necessary to measure individual change. The results indicate that AMC is a viable and effective method for measuring individual change.
AB - Adaptive measurement of change (AMC) was investigated by examining the recovery of true change. Monte Carlo simulation was used to compare three conventional testing (CT) methods with AMC. The CTs estimated individual change moderately well when the test was highly discriminating and when the θ level matched the test difficulty. However, AMC measured individual change equally well across the entire range of ft AMC with more discriminating items produced the most precise estimates of individual change. AMC was shown to be superior to CTs under all conditions examined. In addition, AMC is efficient - it can dramatically reduce the number of items necessary to measure individual change. The results indicate that AMC is a viable and effective method for measuring individual change.
KW - Computerized adaptive testing
KW - Difference score
KW - Item response theory
KW - Measuring change
KW - Residual change score
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U2 - 10.1027/0044-3409.216.1.49
DO - 10.1027/0044-3409.216.1.49
M3 - Article
AN - SCOPUS:44349182044
SN - 0044-3409
VL - 216
SP - 49
EP - 58
JO - Journal of Psychology
JF - Journal of Psychology
IS - 1
ER -