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