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…

A decision consistency (DC) index is an estimate of the consistency of a classification decision on an exam. More specifically, DC estimates the percentage of examinees that would have the same classification decision on an exam if they were to retake the same or a parallel form of the exam again without memory of taking the exam the first time.…

This study aims to conduct the Turkish adaptation, validity, and reliability study of the Theory of Mind Inventory-2 (TOMI-2) developed by Hutchins and Prelock (2016) for 3-5-year-old children. The study group consists of 310 mothers with children in the 3-5 age group in Konya city center. Personal Information Form and Theory of Mind Inventory-2…

The purpose of this synthesis study was to assess the reliability and validity of the Draw-A-Scientist Test (DAST) and its variations across multiple studies, aiming to understand limitations and propose modifications for future application within and beyond the science domain. Given the existence of multiple DAST versions, this study quantified…

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…

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…

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…

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…

The Stranger Face Trust scale (SFT) and Imaginary Stranger Trust scale (IST) are two new self-report measures of generalized trust that assess trust in strangers--both real and imaginary--across four trust domains. Prior research has established the reliability and validity of SFT and IST, but a number of measurement validation tests remain.…

This study aims to validate a Korean version of the Brief Version of the Child Abuse Potential Inventory (BCAP-K) for use with childcare providers in South Korea. By employing a stratified sampling method, 808 childcare providers in charge of infants' classes were selected for participation. Participants completed a questionnaire that included…

Motivation impacts student academic performance. A performance task to directly assess writing motivation in young children is needed. The purpose of this investigation was to evaluate the validity of the Writing Challenge Task (WCT), a task-oriented assessment created to measure writing motivation with 106 kindergarten students in the rural…

In an attempt to engage more students in Science, Technology, Engineering and Mathematics (STEM) subjects, schools are encouraged by STEM educators and professionals to introduce students to STEM through projects which integrate skills from each of the STEM disciplines. Because little is known about the learning environment of STEM classrooms, we…

Successful early mathematical development is vital to children's later education, employment, and wellbeing outcomes. However, established measurement tools are infrequently used to (i) assess children's mathematical skills and (ii) identify children with or at-risk of mathematical learning difficulties. In response, this pre-registered systematic…

This research aims to validate the Portuguese version of the Teacher Feedback Scale (TFS) in a sample of 628 children from third and fourth grade. Teacher feedback is a crucial factor in child development, with an impact in students' motivation and learning. It provides daily cognitive and emotional information about children's academic…

Digital competence is critical for university students to adapt to and benefit from digitally enhanced learning. Prior studies on its measurement mostly focus on educators and relied on factor analyses. However, there is a lack of valid and convenient tools to measure university students' digital competence. This study aimed to develop a digital…