This research, following a sequential mixed-methods design, delves into metacognitive control in problem solving among 5- to 6-year-olds, using two floor-robot environments. In an initial qualitative phase, 82 pupils participated in tasks in which they directed a floor robot to one of two targets, with the closer target requiring more cognitive…

Executive functions (EFs) are a set of high-level cognitive processes that enable children to perform a goal-directed behaviour. During the preschool years, EFs undergo significant developmental changes. Therefore, it is crucial to have reliable measures that accurately evaluate preschoolers' EFs in preschool-aged children. The present study aimed…

To evaluate if takeoff speed can be predicted using peak-speed from a linear position transducer (LPT), 21 rowing athletes performed hexagonal-bar jumps in line with the National Team testing protocol. Predictive validity was assessed by comparing peak-speed from a LPT to the criterion measure takeoff speed collected from force plates. The…

Prospection is associated, in varying degrees, with a sense that imagined events will (or will not) happen in the future--referred to as "belief in future occurrence." The present research investigated to what extent this belief is justified and predicts the actual occurrence of events in the future. In two studies, participants rated…

I created the 15-item Learner-Centered Syllabus Scale (LCSS) based on the work of Cullen and Harris. The purpose of this study was to assess the factor structure, reliability, and validity of the LCSS. Four blind coders assessed 175 syllabi using the LCSS with 92% inter-rater agreement. To establish concurrent validity, each blind coder rated the…

Rapid automatized naming (RAN) powerfully predicts word-level reading fluency in the first 2 years of school as well as further reading development. Here, we analyze various RAN stimuli (objects and digits) and oral/silent word reading (OWR/SWR) modalities to find feasible measures for predicting early reading development. The RAN performances of…

This meta-analysis assesses the predictive validity of the Graduate Record Examination (GRE) across outcome variables, including grade point average, for graduate students. In addition to aggregate effects, this paper also assessed changes in observed effects over time as related to increasing diversity in the graduate student population and as a…

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…

In this article, we examined predictive validity of the newly defined "Student Risk Screening Scale--Internalizing and Externalizing" (SRSS-IE 9, with nine items) when used by teachers for the first time, with a sample of 24,535 elementary students from 74 schools in four U.S. geographic regions. Results indicated fall externalizing and…

Schools have become the most common setting for youth to receive additional supports--including access to mental health services serving as an entry point for identification and subsequent provision of these services. Many schools rely on office discipline referral (ODR) or suspension data as informal screeners for students who may need additional…

An important problem in higher education is to find the most suitable admission procedure that can distinguish between students with high academic potential and future dropouts. Admissions usually rely on pre-enrolment achievement measures; therefore, it is crucial that these selection criteria have high predictive validity on academic…

Using a sample of healthy youth (n = 466, 10 to 18 yr), we report the predictive utility of vertical jump power (VJ Power, W) for predicting bone strength. We measured VJ Power using mechanography and an indicator of bone strength, i.e., height-adjusted total bone mineral content less head (TBLH BMC, g), using DXA. Growth curve models were used to…

School climate is increasingly recognized by scholars and policymakers as a crucial factor associated with students' educational experiences. Hence, practitioners endeavor to equitably measure and improve school climate to promote favorable student academic and behavior outcomes. Unfortunately, school climate research is fragmented, and a…

Improving teacher selection is an important strategy for strengthening the quality of the teacher workforce. As districts adopt commercial teacher screening tools, evidence is needed to understand these tools' predictive validity. We examine the relationship between Frontline Education's TeacherFit instrument and newly hired teachers' outcomes. We…

The goal of this study was to extend research on scale contextualization (i.e., frame-of-reference effect) to the decision making styles construct, compare the effects of contextualization across three unique decision style scales, and examine the consequences of scale contextualization within an item response theory framework. Based on a mixed…