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…

This study compared the relative contribution of earliest assessment of preschool children's context-specific problem behaviors with subsequent observations of those behaviors for the prediction of later academic and sociobehavioral performance in first grade. Using a nationally representative sample of low-income children from the Head Start…

Students' oral reading fluency growth from first through fourth grade was used to predict their achievement on the Stanford Achievement Test (9th ed.; SAT-9 Reading) using a latent growth model. Two conditional variables related to student status were used to determine the effects on reading performance--English language learners (ELLs) with low…