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…

In sample survey analysis, accurate population mean estimation is an important task, but traditional approaches frequently ignore the intricacies of real-world data, leading to biassed results. In order to handle uncertainties, indeterminacies, and ambiguity, this work presents an innovative approach based on neutrosophic statistics. We proposed…

A full structural equation model (SEM) typically consists of both a measurement model (describing relationships between latent variables and observed scale items) and a structural model (describing relationships among latent variables). However, often researchers are primarily interested in testing hypotheses related to the structural model while…

Background: Perceptual measures such as speech intelligibility are known to be biased, variant and subjective, to which an automatic approach has been seen as a more reliable alternative. On the other hand, automatic approaches tend to lack explainability, an aspect that can prevent the widespread usage of these technologies clinically. Aims: In…

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 aims to investigate the factors influencing teachers' intentions to integrate Virtual Reality (VR) technology into their educational practices, utilising the Unified Theory of Acceptance and Use of Technology (UTAUT-2) framework. The research involved adapting and validating the 'Acceptance of Mobile Immersive Virtual Reality in…

The Professional Quality of Life Scale (ProQOL) has an extensive history of use that often relies on inductions of reliability from precedent literature. We completed a systematic review of the literature and extracted sample-specific reliability estimates for ProQOL subscale scores. Random effects meta-analytic modeling was implemented to…

Relative adiposity (%Fat) was measured using a smartphone-based application in a convenience sample of adults aged 20-52 years (n = 32, 68.7% female, 84.3% White/Caucasian, 26.7 ± 3.5 kg/m2) across different body positions (Anterior versus Posterior) on consecutive days (Day 1 versus Day 2). A reference photo was obtained from the posterior view…

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…

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…

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…