The assessment of screening accuracy and setting of cut points for a universal screener have traditionally been evaluated using logistic regression analysis. This analytic technique has been frequently used to evaluate the trade-offs in correct classification with misidentification of individuals who are at risk of performing poorly on a later…

We modeled word reading growth in typically developing (n = 118) and children with dyslexia (n = 20), Grades 2-5, across multiple exposures to 30 words. We explored the facilitative versus inhibitory effects of exposures to differential mixes of words that support high- versus low-frequency vowel pronunciations. One training corpus contained a…

The authors evaluated measurement-level, factor-level, item-level, and scale-level revisions to the "Gifted Rating Scales-School Form" (GRS-S). Measurement-level considerations tested the extent to which treating the Likert-type scale rating as categorical or continuous produced different fit across unidimensional, correlated trait, and…

A growing body of literature suggests that response latency, the amount of time it takes an individual to respond to an item, may be an important factor to consider when using assessment data to estimate the ability of an individual. Considering that tests of passage and list fluency are being adapted to a computer administration format, it is…

The high rate of students taking developmental education courses suggests that many students graduate from high school unready to meet college expectations. A college readiness screener can help colleges and school districts better identify students who are not ready for college credit courses. The primary audience for this guide is leaders and…

It has been suggested that children acquire spelling by picking up conditional sound-spelling consistencies. To examine this hypothesis, we investigated how variation in word characteristics (words that vary systematically in terms of phoneme-grapheme correspondences) and child factors (individual differences in the ability to extract…

We examined the extent to which word characteristics (i.e., differences in orthographic transparency among words) and child characteristics (i.e., emergent literacy skills) explain variation in children's spelling, using data from young Korean children (N = 168). We compared predicted probabilities of various types of words (e.g., transparent vs.…

During the 2013/14 school year two Florida school districts sought to develop an early warning system to identify students at risk of low performance on college readiness measures in grade 11 or 12 (such as the SAT or ACT) in order to support them with remedial coursework prior to high school graduation. The study presented in this report provides…

District and state education leaders frequently use screening assessments to identify students who are at risk of performing poorly on end-of-year achievement tests. This study examines the use of a universal screening assessment of reading skills for early identification of students at risk of low achievement on nationally normed tests of reading…

This study examines whether scores from an interim reading assessment in grade 9, the Florida Assessments for Instruction in Reading--Florida Standards, can be used to identify students who may score below the college readiness benchmark on the Preliminary SAT/National Merit Scholarship Qualifying Test and ACT Plan in grade 10. Using scores on an…

The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules by…

This study examines whether the classification and regression tree (CART) model improves the early identification of students at risk for reading comprehension difficulties compared with the more difficult to interpret logistic regression model. CART is a type of predictive modeling that relies on nonparametric techniques. It presents results in…