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Educational Resource Information Center (ERIC)
Click here to return
- Ask Eric
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- The resources at askeric.org have moved to a new home, the Educator's Reference Desk.
This new site includes the 2000 lesson plans, 3000 value-added pointers to education information & organizations, and 200 question archives you have been accessing at askeric.org for over 10 years. You can also continue to access the ERIC database at the Educator's Reference Desk. Please visit this new site today!
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- An On-line, Interactive, Computer Adaptive Testing Tutorial
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- Here you will have the opportunity to learn the logic of CAT and see the calculations that go on behind the scenes. You can play with an actual CAT. We provide the items and the correct answers. You can try different scenarios and see what happens. You can pretend you are a high ability, average or low ability examinee. You can intentionally miss easy items. You can get items right that should be very hard for you.
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- Bayesian Essay Test Scoring sYstem
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- BETSY is a windows-based program that classifies text based on trained material. It was designed for automated essay scoring and can be applied to any text classification task.
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- Educator's Reference Desk
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- The Educator's Reference Desk provides a search interface to the ERIC Database, providing access to over one million bibliographic records on educational research, theory, and practice.
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- ETS Test Collection
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- The collection is the largest in the world. It was established to make information on standardized tests and research instruments available to researchers, graduate students, and teachers. The tests contained in this collection were acquired from a variety of U.S. publishers and individual test authors. Foreign tests are also included in the collection, including some from Canada, Great Britain, and Australia.
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- Item Response Theory
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- Item Response Theory is the study of test and item scores based on assumptions concerning the mathematical relationship between abilities (or other hypothesized traits) and item responses.
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- Measurement Decision Theory
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- Advocated by Wald (1947), first applied to measurement by Cronbach and Gleser (1957), and now widely used in engineering, agriculture, and computing, decision theory provides a simple model for the analysis of categorical data. It is most applicable in measurement when the goal is to classify examinees into one of two categories, e.g. pass/fail or master/non-master.
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