Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…

Growth-to-standard models evaluate student growth against the growth needed to reach a future standard or target of interest, such as proficiency. A common growth-to-standard model involves comparing the popular Student Growth Percentile (SGP) to Adequate Growth Percentiles (AGPs). AGPs follow from an involved process based on fitting a series of…

Since its inception in 1949, over 1,500 studies have investigated the validity of the GRE General Test to predict its performance criteria in higher education (Klieger, Bridgeman, Tannenbaum, & Cline, 2016). The present review paper sought to examine the predictive validity of the GRE General Test. Factors affecting the predictive validity…

This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…

Educational Testing Service (ETS), working with 21 U.S. law schools, evaluated the predictive validity of the GRE® General Test using a sample of 1,587 current and graduated law students. Results indicated that the GRE is a strong, generalizably valid predictor of first-year law school grades and that it provides useful information even when…

Researchers examined the concurrent and predictive validity of a brief (12-item) teacher-rated school readiness screener, the Kindergarten Student Entrance Profile (KSEP), using receiver operating characteristic (ROC) curve analysis to examine associations between (N = 78) children's social-emotional (SE) and cognitive (COG) readiness with…

The reliability of an assessment is defined as the extent to which candidates' results would remain stable if the entire assessment exercise was repeated. Whilst numerous studies have evaluated the reliability of written examinations, relatively little has been done to quantify the reliability of internal teacher assessment within schools. This is…

English language programmes provide established pathways for international students seeking university admission in countries such as Australia and the United Kingdom. In order to refer international applicants to appropriate levels and durations of English language support prior to matriculation into their main course of study, pathway providers…

Objective: This study seeks to evaluate the psychometric properties of the Ottawa Self-Injury Inventory-Functions (OSI-F) for assessing nonsuicidal self-injury (NSSI), a condition for further study in the DSM-5. Participants: Participants included 345 students who indicated a history of self-injury in a university counseling center over six…

The Devereux Student Strengths Assessment Mini (DESSA-Mini; Naglieri, LeBuffe, & Shapiro, 2011/2014) was designed to overcome practical obstacles to universal prevention screening. This article seeks to determine whether an entirely strength-based, 8-item screening instrument achieves technical accuracy in routine practice. Data come from a…

Typically, only a minority of applicants to health professional training are invited to interview. However, pre-interview measures of cognitive skills predict for national licensure scores (Gauer et al. in "Med Educ Online" 21 2016) and subsequently licensure scores predict for performance in practice (Tamblyn et al. in "JAMA"…

Socioecological theory suggests that there are a range of influences that affect the physical activity levels of children, including parents' perceptions of the neighborhood. A questionnaire instrument to quantify parental neighborhood perceptions was developed for the Location of Children's Activity in Their Environment study as a potential…

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…

Measurement invariance (MI) is a property of measurement that is often implicitly assumed, but in many cases, not tested. When the assumption of MI is tested, it generally involves determining if the measurement holds longitudinally or cross-culturally. A growing literature shows that other groupings can, and should, be considered as well.…

Traditional measures of reading ability designed for younger students typically focus on componential skills (e.g., decoding, vocabulary), and the items are often presented in a discrete and decontextualized format. The current study was designed to explore whether it was feasible to develop a more integrated, scenario-based assessment of…