Title page for ETD etd-73098-112727
|Type of Document
||Granville, Monique V.
|Author's Email Address
||Calibration Efficacy of Three Logistic Models to the Degrees
of Reading Power Test Using Residual Analysis
|Cross, Lawrence H.
|Harvey, Robert J.
|Schulman, Robert S.
- Degrees of Reading Power (DRP)
- Goodness of Fit
- Item Response Theory
- Residual Analysis
- Virginia Literacy Passport Test (LPT)
|Date of Defense
The publisher of the Degrees of Reading Power test of reading comprehension
(DRP) calibrate their test using an item response model called the Rasch or
one-parameter logistic model. The relationship between the use of the Rasch model
in calibration of the DRP and the use of the DRP as a component of the Virginia
Literacy Passport Testing Program (LPT) is addressed. Analyses concentrate on
sixth grade students who were administered the DRP in 1991. The question that
arises is whether the Rasch model is the appropriate model to use to calibrate the
DRP in this high-stakes setting. The majority of research that has been reported by
the publisher of the DRP to assess the adequacy of the Rasch model have not
included direct checks on model assumptions, model features or model predictions.
Instead, they have relied almost exclusively on statistical tests in assessment of model
fit. This study will assess the adequacy of fitting DRP test data to the Rasch model
through direct examination of the assumptions, features and predictions of the IRT
model. This is accomplished by comparing the Rasch model to the less restrictive
two- and three-parameter logistic models. Robust IRT-based goodness-of-fit
techniques are conducted. When the DRP is used in a high stakes setting, guessing is
likely for those in jeopardy of failing. Under these circumstances, we must attend to
the possibility that guessing may be a factor and thereby calibrate the DRP with the
three-parameter model, as this model takes guessing into account.
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