This book provides an overview of test equating methods with a focus on how to implement
them using R (R Core Team 2016). The idea for writing this book emerged in April 2014 …

When equating two tests, the traditional approach is to use common test takers and/or
common items. Here, the idea is to use variables correlated with the test scores (eg, school …

Equating methods make use of an appropriate transformation function to map the scores of
one test form into the scale of another so that scores are comparable and can be used …

When equating two test forms, the equated scores will be biased if the test groups differ in
ability. To adjust for the ability imbalance between nonequivalent groups, a set of common …

The overall aim was to examine effects of differences in group ability and features of the
anchor test form on equating bias and the standard error of equating (SEE) using both real …

The overall aim was to examine the equated values when using different linkage plans and
different observed-score equipercentile equating methods with the equivalent groups (EG) …

Kernel equating uses kernel smoothing techniques to continuize the discrete score
distributions when equating test scores from an assessment test. The degree of smoothness …

In test score equating, the nonequivalent groups with covariates (NEC) design use
covariates with high correlation to the test scores as a substitute for an anchor test when the …

Nonequivalent groups with anchor test (NEAT) design is typically preferred in test score
equating, but there are tests which do not administer an anchor test. If the groups are …

This study compares the kernel equating (KE) and test characteristic curve (TCC) equating
methods using the nonequivalent anchor test equating design. In this Monte Carlo study …