The effect on equating of using background variables
(English)Manuscript (preprint) (Other academic)
In this paper observed score linear equating with two different data collection designs, the equivalent groups design and the non-equivalent groups design, is examined when including information from background variables. The purpose of the study is to examine the effect (i.e., bias, variance and mean squared error) on the estimators of including this additional information. In a simulation study, we show that the use of background variables, such as gender and education, can increase the accuracy of an equating by reducing the mean squared error (MSE) of the estimators.
linear equating, observed score equating, covariates, mean squared error
Probability Theory and Statistics
Research subject Statistics
IdentifiersURN: urn:nbn:se:umu:diva-32790OAI: oai:DiVA.org:umu-32790DiVA: diva2:305800