The Impact of Life Domains on Delinquent Behaviors in Five Caribbean Countries: A Partial Test of Agnew's General Theory of Crime and Delinquency.

The current study tests the applicability of Agnew's (2005) general theory of crime and delinquency to a sample of Caribbean Community (CARICOM) youths and explains the hypothesized direct and indirect/mediated effects of family attachment and peer delinquency on delinquent behaviors. Data for this study were obtained from a 2014 cross-sectional survey of 512 adolescents from the five members of the CARICOM. This study utilizes mediation analysis. Results reveal that adolescents with abuse experience from family members and unsafe school environments are more likely to engage in delinquent behavior. Furthermore, peer delinquency is significantly related to delinquent behavior and mediates the link between child abuse, family history of violence, unsafe school environment, and subsequent delinquent behavior. Finally, child abuse generated a lower level of family attachment, and then a higher level of family attachment led to a lower likelihood of subsequent delinquent behavior.

Transformative school-community collaboration as a positive school climate to prevent school absenteeism.

School absenteeism has become a prevalent problem that affects student development and future societies across the world. We examined whether and how the framework for transformative school-community collaboration (TSCC) can be utilized to effectively reduce school absenteeism. To achieve this goal, we analyzed clustered data involving 3428 students within 14 schools that collaborated with communities in providing out-of-school time programs. A generalized ordered logit analysis with clustered standard errors showed that overall TSCC significantly decreased the likelihood of students' school absenteeism. Democratic and empowering structures in the collaboration were particularly significant for reducing the higher level of school absenteeism. We conclude our article with practice implications to translate the core dimensions of TSCC into effective practice.

Revealing underlying factors of absenteeism: A machine learning approach.

Introduction: The basis of support is understanding. In machine learning, understanding happens through assimilated knowledge and is centered on six pillars: big data, data volume, value, variety, velocity, and veracity. This study analyzes school attendance problems (SAP), which encompasses its legal statutes, school codes, students' attendance behaviors, and interventions in a school environment. The support pillars include attention to the physical classroom, school climate, and personal underlying factors impeding engagement, from which socio-emotional factors are often the primary drivers. Methods: This study asked the following research question: What can we learn about specific underlying factors of absenteeism using machine learning approaches? Data were retrieved from one school system available through the proprietary Building Dreams (BD) platform, owned by the Fight for Life Foundation (FFLF), whose mission is to support youth in underserved communities. The BD platform, licensed to K-12 schools, collects student-level data reported by educators on core values associated with in-class participation (a reported-negative or positive-behavior relative to the core values) based on Social-Emotional Learning (SEL) principles. We used a multi-phased approach leveraging several machine learning techniques (clustering, qualitative analysis, classification, and refinement of supervised and unsupervised learning). Unsupervised technique was employed to explore strong boundaries separating students using unlabeled data. Results: From over 20,000 recorded behaviors, we were able to train a classifier with 90.2% accuracy and uncovered a major underlying factor directly affecting absenteeism: the importance of peer relationships. This is an important finding and provides data-driven support for the fundamental idea that peer relationships are a critical factor affecting absenteeism. Discussion: The reported results provide a clear evidence that implementing socio-emotional learning components within a curriculum can improve absenteeism by targeting a root cause. Such knowledge can drive impactful policy and programming changes necessary for supporting the youth in communities overwhelmed with adversities.

Effects of Risk Factors on Belizean Adolescents' Academic Behaviors and Grit after Prolonged Absence During the COVID-19 Pandemic.

This causal-comparative study explored the effects of risk factors-family status, parental marital status, family income, and parent education level-on Belizean adolescents' academic behaviors and grit (passion and perseverance in goal achievement) following prolonged absence during the COVID-19 pandemic. Data were collected online using a demographic survey, the Grit-S Scale (Duckworth & Quinn, 2009), coupled with eight additional items to measure academic behaviors (attendance, preparedness, attention, note-taking, participation, organization, use of out-of-school time, and homework completion and submission) for success (Farrington et al., 2012) from secondary and tertiary students in Belize. With rare exception, Belizean education took place in person before the pandemic. This changed to remote teaching and learning during the pandemic. Findings showed that adolescents from the defined risk factor of single-parent households experienced greater declines across all eight academic behaviors. Additionally, this effect was more pronounced for adolescents who experienced the loss of a parent from divorce or death of a parent. For grit, there were two key outcomes: (a) adolescents from nuclear and higher income families had slightly higher levels of grit; and (b) adolescents from parents with lower educational attainment had significantly higher levels of grit than their peers. Based on these findings, recommendations include more study of schools that invest in becoming trauma responsive when evaluating engagement and performance during prolonged absences. Future research should assess adolescents' level of academic behaviors, grit, and other noncognitive factors.

A Model for Crafting Diversity, Inclusion, Respect, and Equity (DIRE) Policy Statements Toward Catalyzing Organizational Change.

We present a model for STEM organizations to write catalytic diversity, inclusion, respect, and equity (DIRE) policy statements as structured steps for sustained action.