The recently proposed "continuous-time latent curve model with structured residuals" (CT-LCM-SR) addresses several challenges associated with longitudinal data analysis in the behavioral sciences. First, it provides information about process trends and dynamics. Second, using the continuous-time framework, the CT-LCM-SR can handle…

Background: People with intellectual disability often present atypically for various health conditions, making it challenging to identify concerns, particularly when communication challenges are also considered. Additionally, they may face barriers to healthcare access, resulting in many conditions going unnoticed. Health screening inequities are…

Violence towards LGBTQ+ people is a topic of growing social and research interest. The scientific literature has mainly focused on victimization, with few studies exploring the factors that could trigger LGBTQ+ harassment perpetration in adolescents. Moral disengagement is postulated as a possible predictor variable as it has previously shown a…

Previous research indicates that youth exhibiting antisocial behavior are at risk for utilizing a disproportionate amount of health services compared to youth without these problems. The present study investigates whether being processed by the juvenile justice system and showing callous-unemotional (CU) traits independently predict health service…

Emphasis on continuous infant sleep overnight may be driven by parental concern of risk to child mental health outcomes. The Mercy Pregnancy and Emotional Wellbeing Study (MPEWS) examined whether infant sleep at 6 and 12 months postpartum predicts anxiety disorders at 2-4 years, and whether this is moderated by maternal depression, active physical…

The primary purpose of the current study was to predict the likelihood of enrollment in Graduate School based on three independent variables: cost, time-to-completion, and return on investment. To achieve this purpose, a Z-test for the hypothesis of two proportions was utilized to create a predictive model. The model aimed to help institutional…

This non-experimental study examines the relationship between teachers' perceptions of their principals' use of transformational leadership styles and teachers' commitments and turnover intentions. The convenience sample consisted of participants from elementary teachers in Texas public school districts, as well as teachers from the researcher's…

The present study measured factors that influence the representation of LGBTQ+ materials in New York State (NYS) school library collections. The existing body of literature has shown the importance of providing inclusive curricula for LGBTQ+ youth in schools to help decrease negative outcomes. This study surveyed school librarians to assess the…

This study examined whether attachment and self-change predict relationship stability and whether relationship stability differs according to gender. The research data consisted of 403 participants, both online and face-to-face. Multiple linear regression analysis was conducted to determine the predictive power of self-change and attachment on…

In light of the lower rates of postsecondary education enrollment by students with learning disabilities (LD), researchers have sought to identify predictors of enrollment so that improvement efforts can target specific predictors. Taking advantage of the rich data provided in the National Longitudinal Transition Study-2, we conducted a secondary…

Learning engagement is considered a reliable predictor for evaluating the effectiveness of online learning and has become a focal point in online education in recent years. This study investigated the roles and mechanisms of social presence and online learning self-efficacy in mediating the relationship between perceived teacher emotional support…

The integration of educational data mining and deep neural networks, along with the adoption of the Apriori algorithm for generating association rules, focuses to resolve the problem of misdirection of students in the university, leading to their failure and dropout. This is reached through the development of an intelligent model that predicts the…

The advancement of digital technology has driven digitalization innovation in the field of education. Cultivating digital literacy of college students so as to enhance their online learning power is a new mission for higher education in the digital era. This study investigated the relationship between digital literacy and online learning power of…

This study investigates the predictive validity of lower extremity strength, strength asymmetry, and soccer-specific fitness in talent identification among elite male youth soccer players. Employing a Retrospective Cohort design, we established a cohort consisting of K-League registered youth players, totaling 219 individuals (all males, aged 16…

Our work contributes to existing research on student loyalty by testing a model that includes organisational justice as a predictor. In Study 1 (n = 257, Polish sample), students' perceived organisational justice of their university was a positive predictor of their loyalty. In Study 2 (n = 522, Polish sample), we replicated these findings and…