Comparison of Several Small Sample Equating Methods under the NEAT Design

A comparison of Van der Linden's conditional equipercentile equating method with other equating methods under the random groups design

To ensure test security and fairness, alternative forms of the same test are administered in practice. However, alternative forms of the same test generally do not have the same test difficulty level, even though alternative test forms are designed to be as parallel as possible. Equating adjusts for differences in difficulties among forms of the test. Six traditional equating methods are consid...

on the comparison of keyword and semantic-context methods of learning new vocabulary meaning

the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...

Small-Sample Equating With Prior Information

A Comparison of Four Test Equating Methods

This research evaluated the effectiveness of identifying students’ real gains through the application of four commonly used equating methods: concurrent calibration (CC) equating, fixed common item parameter (FCIP) equating, Stocking and Lord test characteristic curve (TCC) equating, and mean/sigma (M/S) equating. The performance of the four procedures was evaluated using simulated data for a t...

Comparing the small sample performance of several variance estimators under competing risks.

We examine several variance estimators for cumulative incidence estimators that have been proposed over time, some of which are derived from asymptotic martingale or counting process theory, and some of which are developed from the moments of the multinomial distribution. There is little published work comparing these variance estimators, largely because the variance estimators are algebraicall...