JOINT AND CONDITIONAL MAXIMUM LIKELIHOOD ESTIMATION FOR THE RASCH MODEL FOR BINARY RESPONSES
JOINT AND CONDITIONAL MAXIMUM LIKELIHOOD ESTIMATION FOR THE RASCH MODEL FOR BINARY RESPONSES
复制标题
二元响应 Rasch 模型的联合条件最大似然估计
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
S. Haberman
中科院分区：
文献类型：
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作者：
S. Haberman
考虑了Rasch模型在实际考试条件下的联合最大似然和条件最大似然的有效性。探讨了一致性和渐近正态性的条件，研究了模型误差的影响，估计了预测的测度，并给出了广义残差。
The usefulness of joint and conditional maximum-likelihood is considered for the Rasch model under realistic testing conditions in which the number of examinees is very large and the number is items is relatively large. Conditions for consistency and asymptotic normality are explored, effects of model error are investigated, measures of prediction are estimated, and generalized residuals are developed.