Predictive analytics is widely used in various domains, including education, to inform decision-making and improve outcomes. However, many predictive models are proprietary and inaccessible for evaluation or modification by researchers and practitioners, limiting their accountability and ethical design. Moreover, predictive models are often opaque…

In this article, I present a new multivariate regression model for analyzing outcomes with network dependence. The model is capable to account for two types of outcome dependence including the mean dependence that allows the outcome to depend on selected features of a known dependence network and the error dependence that allows the outcome to be…

Binary outcomes are often analyzed in cluster randomized trials (CRTs) using logistic regression and cluster robust standard errors (CRSEs) are routinely used to account for the dependent nature of nested data in such models. However, CRSEs can be problematic when the number of clusters is low (e.g., < 50) and, with CRTs, a low number of…

Background/Context: Predictive analytics has emerged as an indispensable tool in the education sector, offering insights that can improve student outcomes and inform more equitable policies (Friedler et al., 2019; Kleinberg et al., 2018). However, the widespread adoption of predictive models is hindered by several challenges, including the lack of…

We present an innovative activity that uses data about LEGO sets to help students self-discover multiple linear regressions. Students are guided to predict the price of a LEGO set posted on Amazon.com (Amazon price) using LEGO characteristics such as the number of pieces, the theme (i.e., product line), and the general size of the pieces. By…

We examined the correlation between social isolation and affective isolation among 457 undergraduate students using a stratified cluster sampling technique. Participants comprised 221 men and 236 women, all of whom were either first- or fourth-year students enrolled in various majors at King Saud University. Means, standard deviations, Pearson…

Turkey is ranked at the 54th out of 72 countries in terms of science achievement in the Programme for International Student Assessment (PISA) survey conducted in 2015, which is a very big disappointment for that country. The aim of this research was to determine factors affecting Turkish students' science achievements in order to identify the…

Various studies have examined possible loci of deaf learners' documented challenges with regard to reading, usually focusing on language-related factors. Deaf students also frequently struggle in mathematics and science, but fewer studies have examined possible reasons for those difficulties. The present study examined numerical and non-numerical…

Magnet schools focused on science, technology, engineering, and mathematics (STEM) as well as extracurricular programs in STEM support talented students and help increase their participation rates in those domains. We examined whether and the extent to which the learning and educational capital of male and female students (N = 801) enrolled in…

Logistic regression (LR)-based methods have become increasingly popular for predicting and articulating cut scores. However, the precision of predictive relationships is largely dependent on the underlying correlations between the predictor and the criterion. In two simulation studies, we evaluated the impact of varying the underlying grade-level…

Using data from a sample of Chinese children (n = 297) aged 3-6 years in Beijing, we examined the characteristics of Chinese parenting styles and the relationship with children's developmental outcomes. A 6-month follow-up study of 110 of the 297 participants further explored the long-term effect of parenting styles on children's development.…

Printed or digital textbooks contain texts accompanied by various kinds of visualisation. Successful comprehension of these materials requires integrating verbal and graphical information. This study investigates the time course of processing an illustrated text through eye-tracking methodology in the school context. The aims were to identify…

A recently validated trait personality framework is the HEXACO (honesty-humility, emotionality, extraversion, agreeableness, conscientiousness, and openness to experience). Little is yet known about how the HEXACO personality dimensions and its subsets--particularly the dimension of honesty-humility--relates to physical activity and body size…

Bullying and victimisation may result from ineffective coping with interpersonal stressors. However, little is known about the preadolescents who are most susceptible to dysfunctional coping styles. Self-efficacy beliefs may be one source of individual differences in coping among those involved in bullying and victimisation. The purpose of the…

This study examined the impact of social support from family, friends and significant others on the levels depression, anxiety and stress among undergraduate students of University of Ghana. A total of one hundred and sixty-five (165) students were sampled from all the levels and were administered with standardized questionnaires measuring social…