USE OF TRUE-SCORE THEORY TO PREDICT MOMENTS OF UNIVARIATE AND BIVARIATE OBSERVED-SCORE DISTRIBUTIONS

被引：26

|

作者：

LORD, FM

机构：

来源：

PSYCHOMETRIKA | 1960年 / 25卷 / 04期

关键词：

D O I：

10.1007/BF02289751

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

引用

收藏

页码：325 / 342

页数：18

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[1] AN APPLICATION OF TRUE-SCORE THEORY, INVOLVING THE GRADUATION OF OBSERVED-SCORE DISTRIBUTIONS
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[3] COMPARISON OF IRT TRUE-SCORE AND EQUIPERCENTILE OBSERVED-SCORE EQUATINGS
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[5] A STRONG TRUE-SCORE THEORY, WITH APPLICATIONS
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[6] Item Response Theory Observed-Score Kernel Equating
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[7] Univariate and bivariate loglinear models for discrete test score distributions
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[8] An optimization model for test assembly to match observed-score distributions
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[10] ESTIMATING TRUE-SCORE DISTRIBUTIONS IN PSYCHOLOGICAL TESTING (AN EMPIRICAL BAYES ESTIMATION PROBLEM)
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