The purpose of this study was to compare the classification accuracy of data produced by the previous year's end-of-year New York state assessment, a computer-adaptive diagnostic assessment ("i-Ready"), and the gating combination of both assessments to predict the rate of students passing the following year's end-of-year state assessment…

Educators use universal screening to identify students who may be at risk for not meeting proficiency on the state assessment. Given the potential high-stakes of state tests, using accurate screeners is critical. Independent research is emerging on screeners such as the Measures of Academic Progress (MAP), a computer adaptive test, and the…

We present two types of validity evidence to support inferences and decisions about use of easyCBMs in relation to state testing programs. The first type involves the use of Benchmarks in reading to use in making predictions of performance on the Smarter Balanced (SB) test. These predictions can be made both well in advance (several months) or…

Today, emoji have become a popular option for anchoring the categories of Likert-type scales applied to not only adults but also children. The aim of this study was to investigate the effects of category labeling with emoji by comparing the psychometric properties of the emoji- and verbal-anchored versions of the mathematics motivation scale…

Universal screening for emotional and behavioral risk in schools facilitates early identification and intervention for students as part of multitiered systems of support. Early identification has the potential to mitigate adverse outcomes of emotional and behavioral disorders. The purpose of this study was to extend existing research on the…

In response to a request for additional analyses, in particular reporting confidence intervals around the results, we re-analyzed the data from prior studies. This supplementary report presents the results of the additional analyses addressing classification accuracy, reliability, and criterion-related validity evidence. For ease of reference, we…

In response to a request for additional analyses, in particular reporting confidence intervals around the results, we re-analyzed the data from prior studies. This supplementary report presents the results of the additional analyses addressing classification accuracy, reliability, and criterion-related validity evidence. For ease of reference, we…

Fluent reading is characterized by rapid and accurate identification of words. It is commonly accepted that such identification relies on the availability of orthographic knowledge. However, whether this orthographic knowledge should be seen as an accumulation of word-specific knowledge in a lexicon acquired through decoding or as a well-developed…

This study examined the predictive validity and classification accuracy of two commonly used universal screening measures relative to a statewide achievement test. Results indicated that second-grade performance on oral reading fluency and the Measures of Academic Progress (MAP), together with special education status, explained 68% of the…

The purpose of the present studies was to provide the means to create brief versions of instruments that can aid the diagnosis and classification of students with learning disabilities and comorbid disorders (e.g., attention-deficit/hyperactivity disorder). A sample of 1,108 students with and without a diagnosis of learning disabilities took part…

This paper investigates the power of the computer guided clinical interview (CI) and new curriculum based measurement (CBM) measures to identify and help children at risk of low mathematics achievement. We use data from large numbers of children in Kindergarten through Grade 3 to investigate the construct validity of CBM risk categories. The basic…

In a response-to-intervention framework, schools typically employ a direct route approach to screening, in which students identified as at risk by a screening process are directly placed into intervention. Direct route approaches require screening decisions to be highly accurate, but few studies examining the predictive validity of reading…

A major problem facing educators in the United States is how to determine when the nation's five million English language learners (ELL) are ready to exit language-learning programs, i.e. to be "reclassified" as fluent English proficient (R-FEP) and placed in mainstream classrooms without additional language support. No Child Left Behind…

In this technical report, we document the results of a cross-validation study designed to identify optimal cut-scores for the use of the easyCBM[R] mathematics test in the state of Washington. A large sample, randomly split into two groups of roughly equal size, was used for this study. Students' performance classification on the Washington state…

This technical report presents results from a cross-validation study designed to identify optimal cut scores when using easyCBM[R] reading tests in Oregon. The cross-validation study analyzes data from the 2009-2010 academic year for easyCBM[R] reading measures. A sample of approximately 2,000 students per grade, randomly split into two groups of…