The statistical method of linear equating is used to change a measurement scale so that it modifies the mean and standard deviation, but keeps exactly the form of data distribution and, consequently, the relative position of individuals on the scale. The objective of this work is to estimate the linear equating of three versions of an admission test, the Examen de Habilidades y Conocimientos Básicos, EXHCOBA (Basic Ability and Knowledge Test), used at the Universidad Autónoma de Baja California, UABC (Autonomous University of Baja California). This method of linear equating is based on the procedure described by Kolen and Brennan (1995).This study shows that an effective equating resulted in the adjustment of the mean and standard deviation of all the topic areas of versions 3 and 4 in comparison with version 2. However, this method ignores variations in the difficulty of the admission test within the various distributions regions because it only equates the mean and standard deviation.

Test equating, lineal equating method, Basic Abilities and Knowledge Test.