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…

The rise of social media has opened countless opportunities to explore social science questions with new data and methods. However, research on socioeconomic inequality remains constrained by limited individual-level socioeconomic status (SES) measures in digital trace data. Following Bourdieu, we argue that the commercial and entertainment…

This study aims to preliminarily validate the Italian version of the Coparenting Relationship Scale for Children (CRS-C) with 141 mothers, 141 fathers, and 141 children (48.6% males) aged 8-14 years. We tested the factorial structure of the CRS-C, which included five factors (support, endorsement, undermining, agreement, and exposure to conflict),…

A linear model is often used to find the effect of a binary treatment D on a noncontinuous outcome Y with covariates X. Particularly, a binary Y gives the popular "linear probability model (LPM)," but the linear model is untenable if X contains a continuous regressor. This raises the question: what kind of treatment effect does the…

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…

People view many attributes, including intelligence, through implicit theories (or mindsets). Entity mindsets position the attribute as unchangeable or static, whereas incremental mindsets see the attribute as malleable or capable of being changed/improved (Dweck & Leggett, 1988). The present studies examined a new questionnaire designed to…

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…

A recent study suggests that parent report on the Social Symptom and Prosocial scales of the Childhood Joint Attention Rating Scale provides useful information about differences in the social development of school-aged autistic children. The current study provides additional psychometric data on the Childhood Joint Attention Rating Scale regarding…

The crucial importance of parenting for human development is well known, yet there has been little investigation, particularly regarding infancy parenting. This study investigates mother- and infant-related characteristics affecting parenting styles in the first year after birth. Additionally, adapting an Infancy Parenting Styles Questionnaire…

Constraints-led approach (CLA) is widely used in physical education (PE). This four-phased study aimed to develop a self-report measurement of students' perceived constraints support in PE. The relationships among students' perceived constraints support, competence and novelty need satisfaction, motivation, effort, and engagement in PE were also…

The Elicited Imitation Test (EIT) is widely recognized for its reliability in research settings as a proficiency assessment tool. However, there exists a need to examine its predictive validity in English as a Foreign Language (EFL) classrooms. This study investigates the extent to which the EIT, alongside the Oxford Placement Test (OPT), can…

Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…