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ERIC ED322220: A Normalized Direct Approach for Estimating the Para... |
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by ERIC |
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A new method for estimating the parameters of the normal |
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ogive three-parameter model for multiple-choice test |
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items--the normalized direct (NDIR) procedure--is |
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examined. The procedure is compared to a more commonly |
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used estimation procedure, Lord's LOGIST, using computer |
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simulations. The NDIR procedure uses the normalized (mid- |
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percentile) "z" score as the ability score as opposed to |
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the conventional raw score (linear "z" score), maximum |
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likelihood, or Bayesian modal ability score. Thus, it is |
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not necessary to use an iterative procedure for |
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estimating the person parameter (ability); corrections |
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for scale errors can be made before the item function |
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fitting is complete. The item function fitting is |
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accomplished using a minimum chi square procedure. Input |
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to the chi square procedure includes biserial |
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correlations corrected for guessing and attenuation. The |
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attenuation correction uses a reliability index based on |
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the item set information index. Normalized "z" scores |
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corrected for attenuation using the KR20 index are also |
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inputted to the chi square procedure. The normalized |
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direct procedure was more accurate and required |
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considerably less computer processing time than did |
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LOGIST. One figure and six data tables are included. |
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(Author/TJH) |
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Date Published: 2014-11-19 18:53:20 |
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Identifier: ERIC_ED322220 |
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Item Size: 29626564 |
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Language: english |
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Media Type: texts |
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# Topics |
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ERIC Archive; Ability Identification;... |
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# Collections |
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ericarchive |
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additional_collections |
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# Uploaded by |
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@chris85 |
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