Northwest Evaluation Association™ (NWEA™) is committed to providing partners with useful tools to help make inferences from Measures of Academic Progress® (MAP®) interim assessment scores. One important tool is the concordance table between MAP and state summative assessments. Concordance tables have been used for decades to relate scores on…

Concordance tables have been used for decades to relate scores on different tests measuring similar but distinct constructs. These tables, typically derived from statistical linking procedures, provide a direct link between scores on different tests and serve various purposes. Aside from describing how a score on one test relates to performance on…

The Office of Shared Accountability (OSA) in Montgomery County Public Schools (MCPS) conducted a linking study to examine the relationship of the Measures of Academic Progress (MAP) assessment with the Common Core Consortia Partnership for Assessment of Readiness for College and Careers (PARCC) assessment in the 2014-2015 school year. This is the…

The continued accumulation of validity evidence for the intended uses of educational assessments is critical to ensure that proper inferences will be made for those purposes. To that end, the College Board has continued to collect college outcome data to evaluate the relationship between SAT® scores and college success. This report provides…

The continued accumulation of validity evidence for the core uses of educational assessments is critical to ensure that proper inferences will be made for those core purposes. To that end, the College Board has continued to follow previous cohorts of college students and this report provides updated validity evidence for using the SAT to predict…

This report presents the validity of the SAT for predicting two second-year outcomes: (1) second-year cumulative GPA (2nd Yr Cum GPA), and (2) second-year grade point average (2nd Yr GPA). Similar to the results for first-year grade point average (1st Yr GPA), the SAT is strongly correlated with second year outcomes. For many significant…

The findings for the 2008 sample are largely consistent with the previous reports. SAT scores were found to be correlated with FYGPA (r = 0.54), with a magnitude similar to HSGPA (r = 0.56). The best set of predictors of FYGPA remains SAT scores and HSGPA (r = 0.63), as the addition of the SAT sections to the correlation of HSGPA alone with FYGPA…

This report presents the findings from a replication of the Kobrin et al. (2008) and Mattern et al. (2008) reports. Students who were missing at least one of the following were excluded from the analyses: SAT scores, a self-reported high school grade point average (HSGPA), and a valid first-year GPA (FYGPA); this resulted in a final sample size of…

This article discusses the issues and implications of high stakes tests on English language learners (ELLs). As ELLs are being included in all high stakes assessments tied to accountability efforts (e.g., No Child Left Behind), it is crucial that issues related to the tests be critically evaluated relative to their use. In this case, academic…

This paper presents data that imply the need for caution in the clinical use of the SHTRS (Shipley-Hartford Total Raw Score) to predict WAIS FSIQ (Wechsler Adult Intelligence Scale Full Scale IQ) and that show a sex difference in Shipley and predicted scores. (Author/RK)

It is predicted that, among children, Validity of Expectation is an increasing monotonic function of development and that invalid expectations are reflected to a greater extent in overestimation than in underestimation. (Author)

While stepwise regression analyses revealed that the demographic variables of sex, school ability, age, and father's occupation increased the power of prediction the LTIT alone was judged to be a valid predictor of academic achievement. (Author)

This work was supported in part by Biomedical Sciences Support Grant NIH 5S05 - FR07164-02.

Two conventional scores and a weighted score on a group test of general intelligence were compared for reliability and predictive validity. (Editor)