THE RELIABILITY OF LINEARLY EQUATED TESTS

被引：13

作者：

SEGALL, DO

机构：

[1] Code 12, Navy Personnel Research and Development Center, San Diego, 92152-7250, CA

来源：

PSYCHOMETRIKA | 1994年 / 59卷 / 03期

关键词：

EQUATING; LINEAR EQUATING; TEST EQUATING; RELIABILITY; CLASSICAL TEST THEORY; MEASUREMENT ERROR; ASYMPTOTIC STANDARD ERRORS; TESTS;

D O I：

10.1007/BF02296129

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

An asymptotic expression for the reliability of a linearly equated test is developed using normal theory. The reliability is expressed as the product of two terms, the reliability of the test before equating, and an adjustment term. This adjustment term is a function of the sample sizes used to estimate the linear equating transformation. The results of a simulation study indicate close agreement between the theoretical and simulated reliability values for samples greater than 200. Findings demonstrate that samples as small as 300 can be used in linear equating without an appreciable decrease in reliability.

引用

页码：361 / 375

页数：15