Participants in achievement tests or psychometric scales can be naturally divided into various sub-groups such as gender, race, social economic status, school district, etc. In order to make meaningful comparison between groups, each item in the test/scale should measure the same underlying construct for participants came from different groups.…

Measuring socioeconomic status (SES) is very important in educational research, as researchers often use this information to contextualize the results of an assessment or to control for SES when analyzing the relationship between academic achievement and other variables. However, any cross-country comparisons using SES data from international…

Component Universe Score Profile analysis (CUSP) is introduced in this paper as a psychometric alternative to multivariate profile analysis. The theoretical foundations of CUSP analysis are reviewed, which include multivariate generalizability theory and constrained principal components analysis. Because CUSP is a combination of generalizability…

Augmentation procedures are designed to provide better estimates for a given test or subtest through the use of collateral information. The main purpose of this dissertation was to use Haberman's and Wainer's augmentation procedures on a large-scale, standardized achievement test to understand the relationship between reliability and…

The CEPA-English test is used for achievement, selection, and placement purposes. Since this test has heavily influences student's academic futures, it is imperative to ensure that the test functions as intended and provides meaningful results. Therefore, the purpose of this study was to examine the technical quality of the CEPA-English test in…