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The mental health needs of youth are both significant and increasing. Recent advancements have highlighted the need to reduce psychological distress while promoting the development of important social and emotional competencies. Current social and emotional assessment tools are limited in important ways that preclude their widespread use. In the current article, these limitations are discussed. A novel social and emotional learning assessment framework guided by methodological and theoretical innovations is presented. Future research directions and opportunities are discussed.

Teachers experience significant stress with 93% reported high levels of stress (Herman et al., 2018), and literature examining teacher stress levels during the COVID-19 pandemic reveals that 30 percent of teachers experience significantly high levels of stress (Silva et al., 2021). Low levels of teacher well-being and higher levels of stress have been linked to punitive behavior management (Jennings & Greenberg, 2009) and lower student academic achievement (Goddard et al., 2000). The aim of the present study is to explore the relationship between teacher emotion and use of evidence-based instructional strategies that promote student success. In this study, 17 first-year teachers completed a novel measurement, inclusive of single-item scales intended to assess feelings of stress, efficacy, and school connectedness, several times a day, each day of the week, for 1 month. The classroom strategies assessment system of evidence-based academic and behavioral instructional strategies was used in weekly teacher observations. Results indicated validity between these single-item scales and established measures of teacher well-being. A positive relationship between teachers' in-the-moment well-being and evidence-based instruction was found, as well as substantial variation in teacher emotional response across days and weeks. Implications and future directions are discussed.

Using data from multiple informants has long been considered best practice in education. However, multiple informants often disagree on similar constructs, complicating decision-making. Polynomial regression and response-surface analysis (PRA) is often used to test the congruence effect between multiple informants on an outcome. However, PRA assumes the congruence effect on the outcome is homogeneous across individuals. To investigate unknown heterogeneity in the congruence effect, we introduce polynomial regression mixture modeling (PRMix). We demonstrate how PRMix enhances congruence research by allowing researchers to investigate individual differences in the congruence effect. The differential congruence effects between latent classes are illustrated with response-surface plots. We provide practical suggestions for using PRMix and discuss future research directions in methodology.

Discrete Event Simulation (DES) is a novel system modeling technique that allows for the evaluation of the potential costs and personnel needed for mental health services in school. A case study is presented to illustrate how DES could be used by a school's decision makers to help plan for implementation of an integrated mental health service model. Discrete Event Simulation was used to model the personnel, time, and costs of an integrated mental health service model within a school setting. In addition, costs are calculated and then compared to a business as usual model. Data from the present investigation indicate substantial cost savings of implementing a prevention oriented mental health intervention model within a school setting. In a school of 1000 students, the prevention model could result in an annual cost savings of approximately $30,000 as well as a 50% reduction in disciplinary referrals and 22% reduction in suspensions. Results from the present investigation indicate substantial savings in financial resources and overall numbers of disciplinary infractions when implementing a prevention model. The DES allows for customization of personnel and time to modify the model and resulting output to local conditions. These data may allow school administrators to modify resources to meet student needs. In addition, cost data can help address some of the common implementation barriers associated with adoption of universal screening and preventative mental health services.

Recent legislation has increased the emphasis on including students with disabilities in the general education classroom. However, students with autism spectrum disorders (ASD) exhibit a wide range of behaviors that make inclusion difficult. To date, there has been little research to identify best practices in reducing problem behavior and promoting inclusion for students with ASD. The authors conducted a systematic literature review of three major psychological and educational electronic research databases to identify empirical research articles in the past 10 years that included (a) students in kindergarten through 12th grade, (b) facilitated inclusion, and (c) reduced problem behavior. Results indicated a lack of evidence-based practices that use inclusion as an independent variable. This article highlights four themes demonstrated to be effective: functional behavior assessments, tiered models of service delivery, behavioral approaches, and social skills training. Implications for educators are discussed. [ABSTRACT FROM PUBLISHER]