This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…

Diagnostic information is a centrepiece of educational decision making. Far-reaching decisions like placements within multi-tiered school systems may have a huge long-term impact on the achieved level of education. Therefore, such decisions should be substantiated or complemented by objective and prognostically valid information. To this end, we…

Two curriculum-based measurement tools are commonly used to assess progress in reading in elementary school: R-CBM and CBM maze. R-CBM is used in practice more frequently than CBM maze is, although CBM maze is more time efficient to administer than R-CBM is. The technical adequacy of each of these measures has been reported in the literature;…

Effective talent-identification procedures minimize the proportion of students whose subsequent performance indicates that they were mistakenly included in or excluded from the program. Classification errors occur when students who were predicted to excel subsequently do not excel or when students who were not predicted to excel do. Using a…

The No Child Left Behind Act is a mandate from the federal government for education to increase student performance and school accountability. As a result of this mandate, many states have issued the use of high-stakes standardized tests as a means of monitoring schools' accountability. New York State administers the English Language Arts (ELA)…