ERIC ED284901: The Use of Unidimensional Item Parameter Estimates o... | |
by ERIC | |
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The purpose of this study was to investigate the effect | |
of using multidimensional items in a computer adaptive | |
test (CAT) setting which assumes a unidimensional item | |
response theory (IRT) framework. Previous research has | |
suggested that the composite of multidimensional | |
abilities being estimated by a unidimensional IRT model | |
is not constant throughout the entire unidimensional | |
ability scale. Results of this study suggest that | |
univariate calibration of multidimensional data tends to | |
"filter" out the multidimensionality. The closer an | |
item's multidimensional composite aligns itself with the | |
calibrated univariate ability scale's orientation, the | |
larger the estimated discrimination parameter. If CAT | |
item selection is based upon the amount of information an | |
item provides, items requiring similar (theta sub 1, | |
theta sub 2) will most often be selected. These results | |
further imply that in a CAT different abilities | |
throughout the theta sub 1, theta sub 2 plane could | |
receive sets of items that discriminate between theta sub | |
1 and theta sub 2 to different degrees. Also, different | |
abilities along the mapped univariate scale could receive | |
tests having different proportions of item content. A | |
description of the ACT Mathematics Usage Test is | |
appended. (Author/JAZ) | |
Date Published: 2014-12-25 22:48:40 | |
Identifier: ERIC_ED284901 | |
Item Size: 32328663 | |
Language: english | |
Media Type: texts | |
# Topics | |
ERIC Archive; Adaptive Testing; Colle... | |
# Collections | |
ericarchive | |
additional_collections | |
# Uploaded by | |
@chris85 | |
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