be greater than expected from the error function. Second, the observed variation may be in greater concordance with the invariance property than would be expected from normal error functions. This situation will result in a profile similar to curve A in
Figure 5.2
. The number of concordant scores would be greater, and the number of discordant assessment scores would be fewer than expected from the error function. It is assumed that two assessments result in Rasch scores that are in greater concordance than expected from random error when three properties are present. (1) The frequency of standardized difference scores centered about zero must be greater than expected from random error alone, thereby indicating a larger than expected frequency of concordant assessment scores. (2) The frequency of standardized difference scores at the extreme ends of the distribution must be less than expected from the error function, and these frequencies approach N(0, 1) asymptotically as the value of the observed difference score increases. This suggests that the number of discordant scores is less than expected from the error function. (3) The variance of the standardized difference score should be significantly less than 1.0. This property ensures that the dispersion of difference scores is less than expected from random error alone.
The first two properties can be determined by examining the observed and expected frequency distributions. The third property can be verified with an F max assessment ( Winer, 1971). If any of the three properties are found not to be operant, the score invariance property is not validated. Otherwise, the score invariance property is operant, and the observed score differences are due at most to random error.
The empirical research performed to date seem on the surface to validate the invariance properties. However, certain problems exist concerning the indices used in these studies, new indices have been presented in this book which directly test the invariance properties. There is a need for simulations studies where the dimensional and error structures are known before the final page is written on the topic of item response theory.
In the case of the three parameter model, where p = c.
3.
The general two parameter as well as three parameter models do not constrain the values of any parameter. However, events with negative or zero discrimination indices are of no practical value.
-110-
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Publication Information: Book Title: Assessment and Evaluation of Developmental Learning: Qualitative Individual Assessment and Evaluation Models. Contributors: Robert M. Hashway - author. Publisher: Praeger Publishers. Place of Publication: Westport, CT. Publication Year: 1998. Page Number: 110.
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