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item discrimination
8 items with poor item difficulty, lower item discrimination, or having big effect on the item consistency were removed from the instrument, and 62 questions were kept for the further evaluation.
      
The table provides a ready means of translating the observed proportions of success in the two extreme groups (pH,pL) into measures of item difficulty and item discrimination (p, Δ, andr).
      
While negligible differences in the limen values were found, differences in item discrimination indices indicated that interpretation of these indices requires separate frames of reference.
      
The first centroid factor loadings obtained from various interitem relations are compared with item discrimination indices commonly used in item analysis.
      
Note on use of extreme criterion groups in item discrimination analysis
      
An investigation of the sampling distributions of item discrimination indices
      
The lack of adequate mathematical models for the sampling distributions of item discrimination indices suggests that one should avoid indices whose only real reason for existence was the simplification of computational procedures.
      
For the three and two parameter logistic models, examinees who contribute maximally to the estimation of item difficulty contribute little to the estimation of item discrimination.
      
For trinary partial credit items the shape of the item information and the item discrimination function is examined in relation to the item parameters.
      
Consequently, the maximum of a unimodal item information function is always larger than the maximum of a bimodal one, and similarly for the item discrimination function.
      
Existing item response theory (IRT) models are reviewed and a new IRT model that includes the impact on item discrimination, as well as difficulty, is developed.
      
Multitrait scaling provided strong support for item discrimination.
      
All items underwent six empirical steps to analyze unidimensionality, local independence and item discrimination.
      
Item discrimination is an estimate of how the high scoring candidates performed on an item relative to low scoring candidates.
      
Item analysis consists of item difficulty, item discrimination, and effectiveness of the distracters.
      
The two diagnostic characteristics used to review these items are the item difficulty and item discrimination.
      
 

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