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Postsecondary schools have traditionally relied on admissions tests such as the SAT and ACT to select students. With high school achievement assessments in place in many states, it is important to ascertain whether scores from those exams can either supplement or supplant conventional admissions tests. In this study we examined whether the Arizona Instrument to Measure Standards (AIMS) high school tests could serve as a useful predictor of college performance. Stepwise regression analyses with a predetermined order of variable entry revealed that AIMS generally did not account for additional performance variation when added to high school grade‐point average (HSGPA) and SAT. However, in a cohort of students that took the test for graduation purposes, AIMS did account for about the same proportion of variance as SAT when added to a model that included HSGPA. The predictive value of both SAT and AIMS was generally the same for Caucasian, Hispanic, and Asian American students. The ramifications of universities using high school achievement exams as predictors of college success, in addition to or in lieu of traditional measures, are discussed.

Evaluators must seek methods that convey the results of an evaluation so that those who intend on using the information easily understand them. The purpose of this article is to describe how Geographic Information Systems (GIS) can be used to assist evaluators to convey complex information simply, via a spatial representation. Although the utility of GIS in such disciplines as geography, planning, epidemiology and public health is well documented, a review of the literature suggests that its usefulness as a tool for evaluators has gone relatively unnoticed. The paper posits that evaluators may have not recognized the potential of GIS, because of two beliefs that GIS can only provide cross-sectional, snapshots of data, and hence cannot depict change and that many of the available databases that underlie GIS do not contain data relevant to the evaluation at hand. This article demonstrates how GIS can be used to plot change over time, including impact and outcome data gathered by primary data collection.

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