Pretest Item Analyses Using Polynomial Logistic Regression : An Approach to Small Sample Calibration Problems Associated with Computerized Adaptive Testing / Liane N. Patsula and Peter J. Pashley.

Many large-scale testing programs routinely pretest new items alongside operational (or scored) items to determine their empirical characteristics. If these pretest items pass certain statistical criteria, they are placed into an operational item pool; otherwise they are edited and re-pretested or s...

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Bibliographic Details
Main Authors: Patsula, Liane N.
Pashley, Peter J. (Author)
Language:English
Published: [Place of publication not identified] : Distributed by ERIC Clearinghouse, 1997.
Subjects:
Ability.
Adaptive Testing.
Computer Assisted Testing.
Item Banks.
Item Response Theory.
Pretesting.
Sample Size.
Test Items.
Logistic Regression
Calibration > Large Scale Assessment > Large Scale Programs > Polynomial Regression Models
Reports, Evaluative.
Speeches/Meeting Papers.
Genre:
Reports, Evaluative.
Speeches/Meeting Papers.
Physical Description:42 pages
Format: Microfilm Book

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