The objective of this paper is the design of a predictive model of students' desertion in Educational Institutions based on the Analytic Hierarchy Process (AHP). The proposed model is based on a weighted sum of individual probabilities of desertion associated with various factors (explanatory variables) by experts in the combined use of the AHP…

Expected yield rates are essential to a survey's data collection plan, as they inform requisite sample sizes to meet the survey's objectives. Given an overall expected yield rate for a self-administered mail survey, this short take describes a simple method for using the Census Planning Database to assign differential yield rates to lower-level…

Suicide has been identified as a leading cause of premature death in autistic populations. Elevated autistic traits have also been associated with higher rates of self-harm, suicidal ideation, and suicidal self-harm in the general population, but this has yet to be examined in older age. Using baseline cross-sectional data from the PROTECT study,…

Utilizing a survey conducted in 2016 by the Chinese Academy of Science and Technology for Development, this study explores the effects of parenthood on the likelihood of the scientist's first application for the Young Investigator Grant Program administered by the National Science Foundation of China. The analysis indicates that having a child…

This paper reports the statistical and probabilistic reasoning of young children in terms of randomness, variability, and data representations in the context of informal inferential reasoning (IIR). Using the IIR approach, a task was designed and conducted one-on-one with 28 children aged 5 to 6 years old, in a case study setting. The researcher…

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…

A commonly-held belief is that many university students are 'assessment-driven'; that is, students engage more with activities that are assessed compared with those that are not. 'Incentivised engagement' includes the practice of providing incentives (such as marks or otherwise) for students to engage in particular activities. Perusall is a social…

Global digital advancements provide postsecondary students with ample digital job opportunities. Thus, it is crucial to understand the psychological determinants that affect postsecondary students' choices of a digital career. Self-efficacy and interest are two widely used psychological determinants in the choice behavior of individuals. However,…

Purpose: To compare the utility of single versus repeated autism screening in a sample at higher likelihood (HL) for ASD, following both screen positives and all screen negatives to diagnostic outcome. Methods: Using a prospective infant sibling design, the current study followed 135 toddlers at HL for ASD and conducted diagnostic evaluations on…

Background: During the COVID-19 pandemic, stay-at-home (SAH) orders were instituted to limit geographic movement of the population and decrease the spread of the virus. Parents made decisions about how to keep themselves and their children safe which may have led to differing compliance with SAH orders and affected parenting. Objective: We…

This paper contributes to the literature on the impact of early-life health on education by estimating the effect of genetic predisposition to a higher body mass index (BMI) on educational attainment and related outcomes. The identification strategy exploits the randomness in which genes one inherits from one's parents by estimating sibling fixed…

Physical activity (PA) engagement in Early Childcare and Education Centers (ECEC) supports preschoolers' ability to meet the national physical activity guidelines. However, the influence of Head Start playground quality, as assessed by the Head Start Body Start Play Space Assessment (PSA), on Head Start preschoolers' school day PA is…

Experiments in psychology or education often use logistic regression models (LRMs) when analyzing binary outcomes. However, a challenge with LRMs is that results are generally difficult to understand. We present alternatives to LRMs in the analysis of experiments and discuss the linear probability model, the log-binomial model, and the modified…

This paper reports on a study that investigated young children's responses to a range of probabilistic tasks. A central aspect of the study was our examination of the children's use of subjective thinking. Most research that has been conducted in relation to young children's probabilistic thinking has focused on the extent to which young children…

Artificial neural networks (NN) can help researchers estimate propensity scores for quasi-experimental estimation of treatment effects because they can automatically detect complex interactions involving many covariates. However, NN is difficult to implement due to the complexity of choosing an algorithm for various treatment levels and monitoring…