For a productive life, education plays a critical role to fill individual life with value and excellence. Education is compulsory to provide things that individuals partake in to compete in the modern world. Predicting the academic performance of the student is the most successive research in this era. A different set of approaches and methods are…

Several abilities outside literacy proper are associated with reading and spelling, both phenotypically and genetically, though our knowledge of multivariate genomic covariance structures is incomplete. Here, we introduce structural models describing genetic and residual influences between traits to study multivariate links across measures of…

The study aimed to verify the psychometric properties of the emotional-style scale and explore different clusters of emotional styles. An emotional style scale was completed in three districts of western Taiwan using stratified random sampling. The study confirmed the reliability and convergent validity of each subscale in a sample of 712…

Multilevel latent class analysis (MLCA) has been increasingly used to investigate unobserved population heterogeneity while taking into account data dependency. Nonparametric MLCA has gained much popularity due to the advantage of classifying both individuals and clusters into latent classes. This study demonstrated the need to relax the…

Career adaptability and its four sub-factors (concern, control, curiosity, and confidence) are helpful in understanding students' career choices and decisions. A sample of 1,297 university students in Seoul, South Korea, participated in this study. Among them, 728 students (56.13%) had already made their career decision, while 569 (43.87%) had…

Over the past few years, academics have undertaken initiatives to bridge the gap between theory and practice in the ever-growing field of business analytics, including implementing real-life student projects in all shapes and forms. Every year since 2015, Manhattan College has invited student teams from across North America and elsewhere in the…

Growth mixture models (GMMs) are applied to intervention studies with repeated measures to explore heterogeneity in the intervention effect. However, traditional GMMs are known to be difficult to estimate, especially at sample sizes common in single-center interventions. Common strategies to coerce GMMs to converge involve post hoc adjustments to…

The authoritative school climate construct, or the degree to which schools demonstrate student support and disciplinary structure, predicts several important student outcomes (e.g., racial suspension gap, student disengagement). To better understand this construct, we used multilevel latent class analysis to identify latent classes of student…

Few studies holistically examine how students experience the multiple dimensions of school climate and resilience promoting characteristics, or how these two constructs may be interrelated. This study utilised a sample of 78,550 7th, 9th, and 11th grade students in California. Roughly half of the participants were female (52%), and roughly half…

The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled "Missing data: Our view of the state of the art," currently the most highly cited paper in the history of "Psychological Methods." Much has changed since 2002, as missing data methodologies have continually evolved and improved; the range of…

Academic entitlement (AE), which includes some students' tendencies to express deservingness of academic outcomes, not based on achievement, may have serious implications, such as academic dishonesty and classroom incivility. Some researchers have suggested that there may be different types of students with regard to AE, implying that motives for…

The public image of chemistry is a relevant issue for chemical stakeholders. It has been studied throughout history by means of document analysis and more recently through surveys. Twitter, a worldwide online social network, is based on spontaneous opinions. We tried to identify the public perception of chemistry on Twitter, what it explains, and…

In social and behavioral sciences, data are typically not normally distributed, which can invalidate hypothesis testing and lead to unreliable results when being analyzed by methods developed for normal data. The existing methods of generating multivariate non-normal data typically create data according to specific univariate marginal measures…

Many interventions in education occur in settings where treatments are applied to groups. For example, a reading intervention may be implemented for all students in some schools and withheld from students in other schools. When such treatments are non-randomly allocated, outcomes across the treated and control groups may differ due to the…

Developmental surveillance tools are used to closely monitor the early development of infants and young children. This study provides a novel implementation of a multidimensional item response model, using Bayesian hierarchical priors, to construct developmental profiles for a small sample of children (N = 115) with sparse data collected through…