Districts now have access to a wealth of new information that can help target students with appropriate supports and bring focus and coherence to college readiness efforts. However, the abundance of data has brought its own challenges. Schools and school systems are often overwhelmed with the amount of data available. The capacity of districts to…

The definition of differential item performance (DIP), often referred to as item bias, is discussed. DIP is suggested as a comprehensive term to encompass item bias (item invalidity which is unfair to certain population subgroups) and instructional bias (a valid reflection of group differences in instruction or background). This study investigated…

Studies the quality of graduating science education majors at Brigham Young University (BYU) and attempts to identify possible trends in the ability of students who entered secondary school science teaching. Concludes that there was no manifested trend toward lower quality college students entering the science teaching profession at BYU. (CW)

A procedure for the detection of differential item performance (DIP) is used to investigate the relationships between characteristics of mathematics achievement items and gender differences in performance. Eight randomly equivalent samples of high school seniors were each given a unique form of the ACT Assessment Mathematics Usage Test (ACTM).…

This study used a logistic probability model to investigate the effects of variables relating student characteristics and institutional factors on the decision to apply to a large land-grant research university. The study used the entire data set from American College Testing (ACT) program test-takers in the fall of 1995 and institutional data on…

This paper demonstrates the relationship between the concept of unidimensionality and direction of an item in a multidimensional space. The basic premise is that if items that measure in the same direction are combined to form a test, that test will meet the item response theory requirements of unidimensionality. This will be true even if the…

This paper discussed methods currently under study for use with multiple-response data. Besides using Bonferroni inequality methods to control type one error rate over a set of inferences involving multiple response data, a recently proposed methodology of plotting the p-values resulting from multiple significance tests was explored. Proficiency…