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…

Background: Sound learning design should be based on the constructive alignment of intended learning outcomes (LOs), teaching and learning activities and formative and summative assessment. Assessment validity strongly relies on its alignment with LOs. Valid and reliable formative assessment can be analysed as a predictor of students' academic…

Purpose: This study extends research on one of the most frequently cited school leadership frameworks by examining the psychometric properties of the instrument designed to assess many of the practices included in that framework. Design/methodology/approach: Using data collected from 1,401 teachers the study examined the instrument's measurement…

The Stranger Face Trust (SFT) questionnaire and the Imaginary Stranger Trust (IST) questionnaire are two new self-report measures of generalized trust that assess trust in real (SFT) and imaginary (IST) strangers across four trust domains. Both were designed to be objective, empirically valid, and easy to administer and score. To assess…

The objective of this study was to understand the psychometric functioning of the Child Anger Regulation Measure (CARM), its prediction of emotional engagement, and if the prediction of emotional engagement differs for girls and boys. The sample included 251 upper-elementary school students in the United States (10% Black, 62% White, 6% Latinx, 5%…

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…

This study investigated the reliability and validity of the Abbreviated Math Anxiety Scale (AMAS; Hopko, Bare, & Hunt, 2003) and the Math Anxiety Scale -- Revised (MAS-R; Bai, 2009) across race and gender as well as the extent to which race and gender predict learning math anxiety and math evaluation anxiety at both the secondary level, which…

Researchers across many fields have called for greater attention to heterogeneity of treatment effects--shifting focus from the average effect to variation in effects between different treatments, studies, or subgroups. True heterogeneity is important, but many reports of heterogeneity have proved to be false, non-replicable, or exaggerated. In…

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…

With limited budgets and increasing enrollment demands, colleges need fast, free, and practical solutions supporting academic success and retention. The Academic Reality Check (ARC) tool helps to predict traditional freshmen awareness of their own academic expectations in college quickly, supporting the financial investment being made by all…

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…

Item response tree (IRTree) models are a flexible framework to control self-reported trait measurements for response styles. To this end, IRTree models decompose the responses to rating items into sub-decisions, which are assumed to be made on the basis of either the trait being measured or a response style, whereby the effects of such person…

This study aims to investigate the relationships among training on technology integration, self-efficacy, and technology acceptance. In this sense, the two-phase study firstly validated an instrument and then, the relationships among the specified factors were tested through structural equation modeling. While 384 pre-service teachers participated…

This study tested the factor structure, reliability, and criterion validity of the Academic Encouragement Scale (AES) in 690 university students in China. The AES displayed good internal consistency and test--retest reliability. The data provided evidence supporting a two-factor structure: challenge focused encouragement (CFE) and potential…

Given the importance of student engagement for educational success, it is essential to explore how teachers can stimulate student engagement in online learning environment. However, relatively little research drawing from self-determination theory has examined the links between teaching motivations and student engagement. To this end, this study…