The Estimate of Difficulty and Dimensional Strengths of Test Items That Measure More Than One Ability

The Estimate of Difficulty and Dimensional Strengths of Test Items That Measure More Than One Ability [microform] / Lingjia Zeng and Wilbur L. Bashaw.

A joint maximum likelihood estimation algorithm, based on the partial compensatory multidimensional logistic model (PCML) proposed by L. Zeng (1989), is presented. The algorithm simultaneously estimates item difficulty parameters, the strength of each dimension, and individuals' abilities on ea...

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Bibliographic Details
Online Access: Request ERIC Document
Main Author: Zeng, Lingjia
Other Authors: Bashaw, Wilbur L.
Format: Microfilm Book
Language:English
Published: [Place of publication not identified] : Distributed by ERIC Clearinghouse, 1990.
Subjects:
Ability Identification.
Algorithms.
Computer Simulation.
Difficulty Level.
Estimation (Mathematics)
Item Response Theory.
Maximum Likelihood Statistics.
Test Items.

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