Reconciling Contemporary Approaches to School Attendance and School Absenteeism: Toward Promotion and Nimble Response, Global Policy Review and Implementation, and Future Adaptability (Part 2)

A bibliometric analysis on adolescent social anxiety and psychoeducational variables in Web of Science 2002-2021

The aim of this bibliometric analysis was to analyze the scientific output on adolescent social anxiety and its relationship with 15 psychoeducational variables in peer-reviewed journals during the period 2002-2021. The goal was to provide a comprehensive overview of the state of the art on adolescent social anxiety and academic/school achievement, performance, self-concept, self-esteem, self-efficacy, self-attributions, goals, attachment, adjustment, engagement, refusal, absenteeism, anxiety, learning strategies, and self-regulated learning. A search of scientific literature was conducted using Web of Science, and 157 empirical studies were identified. Analyses were conducted using bibliometrix 3.1 to avoid the risk of bias. The results suggested progressive growth in the scientific output on this research topic mainly in the USA, China, Spain, and Canada, and revealed trending issues and scientific interest regarding the relationship between adolescent social anxiety and academic/school achievement and performance. Other variables, such as academic/school attachment and self-regulated learning did not emerge. The results provide implications for practitioners (i.e., educators, clinical and educational psychologists, and psychiatrists), supporting emerging lines of research. Limitations include a lack of a review protocol and a lack of comparison with other international databases, such as PsychInfo, Scopus, PubMed, or ERIC.

Predicting academic achievement and student absences in high school: The roles of student and school attributes

The present study aims at examining predictors of high school students' academic achievement from student-level and school-level predictors in the Kingdom of Saudi Arabia, especially in light of policy mandates on educational reform in accordance with Vision 2030. Participants were 528,854 individuals who took on the Standard Achievement Admission Test (SAAT), along with other demographic variables. The mean age of participants was 19.7 years with an SD = 1.87. There were 234,813 males and 294,041 females. A Multilevel Random Coefficient Modeling (MRCM) model was engaged to identify predictors of academic achievement. Results indicated the positive roles of being a female, having educational parents, being educated in religious schools or large schools, and having small student-to-teacher ratios and the negative roles of student absences, student age, and being educated in new schools. Results are viewed under the lenses of new policy mandates on educational reform in the Kingdom of Saudi Arabia.

Anxiety and school absenteeism without permission among adolescents in 69 low- and middle-income countries

Background

Anxiety disorders are common among adolescents. In high-income countries, anxiety is a known contributor to truancy and school refusal, but this association has been understudied in low- and middle-income countries (LMICs).

Methods

We used complex samples analysis to examine the association between self-reported worry-induced insomnia (an indicator of anxiety) and unauthorized school absenteeism among 268,142 adolescents from 69 LMICs that participated in the Global School-based Student Health Survey (GSHS).

Results

The median proportion of students who reported experiencing symptoms of anxiety most or all of the time during the previous year was 11.4% (range: 3.6%-28.2%); in 44 of the 69 countries, girls had a significantly higher prevalence of anxiety than boys. The percentage of students reporting school absence without permission during the past month was 30.2% (range: 14.7%-56.0%); in 40 countries, boys were significantly more likely than girls to report that they had missed school without permission. In 53 countries, adolescents who reported frequent anxiety were significantly more likely to miss school than adolescents reporting infrequent anxiety; in most of those countries, the association was significant for both girls and boys.

Conclusion

School-based interventions that help children and adolescents learn how to manage stress and refer students with symptoms of psychiatric disorders to healthcare services that can provide formal diagnosis and clinical treatment may be useful for improving both mental health and school attendance, thus contributing to achievement of Sustainable Development Goals related to both health (SDG 3.4) and education (SDG 4.1).

Testing the Functional Profiles of School Refusal Behavior and Clarifying Their Relationship With School Anxiety

Students with school attendance problems are a diverse and heterogeneous group whose patterns of symptomatology can change over time. This study aims to identify different school refusal behavior profiles and to determine whether these profiles differ from each other based on four situational factors and three response systems of school anxiety across gender. The participants were 1,685 Spanish students (49% female) aged 15–18 years (M = 16.28; SD =0.97). The School Refusal Assessment Scale-Revised (SRAS-R) and the School Anxiety Inventory (SAI) were administered. Latent profile analysis revealed five school refusal behavior profiles: Non-School Refusal Behavior, Mixed School Refusal Behavior, School Refusal Behavior by Positive Reinforcement, Low School Refusal Behavior, and High School Refusal Behavior. The results indicated that High School Refusal Behavior and Mixed School Refusal Behavior groups were the most maladaptive profiles since it obtained the highest mean scores on school anxiety. In contrast, Non-School Refusal and School Refusal Behavior by Positive Reinforcement groups revealed the lowest scores in school anxiety. Non-significant gender-based differences were found, only girls were more represented in the mixed school refusal behavior profile in comparison with boys but with a small effect size. Findings are discussed in relation to the importance of promoting good mental health to prevent school attendance problems in adolescents and younger ages.

The School Climate and Academic Mindset Inventory (SCAMI): Confirmatory Factor Analysis and Invariance Across Demographic Groups

School climate is a multidimensional construct of the quality of a student’s academic environment, often subsuming dimensions such as safety, instructional practices, social relationships, school facilities, and school connectedness. Positive school climate has beneficial effects on a wide range of adjustment variables in youth, including academic achievement, mental health, school attendance and graduation, and school-based behavior. Studies regarding school climate assessment have burgeoned in recent years but remain marked by limited sample sizes, narrow developmental levels, restricted items, unclear psychometric strength across multiple demographic groups, and lack of integration with key student education contextual factors such as academic mindset and social emotional learning. The present study evaluated a comprehensive measure of aspects of school climate, academic mindset, and social emotional learning in a sample of 105,379 diverse students (M_age = 13.47 years; SD = 2.47). The 9-factor structure of the School Climate and Academic Mindset Inventory was supported via confirmatory factor analysis. A trimmed model displayed adequate goodness-of-fit for males and females, younger age groups, and European American, biracial/multiracial, Hispanic, Native American, and Native Hawaiian/Pacific Islander students. The trimmed model was slightly less strong for older age groups as well as for African American and Asian American students. The scale may be useful for assessing school climate interventions, longitudinal climate patterns, and school-based algorithms of future performance, though additional validation of the scale remains necessary.

A Scoping Review of Constructs Measured Following Intervention for School Refusal: Are We Measuring Up?

Reviews of the effectiveness of interventions for school refusal (SR) rely upon well-conducted primary studies. Currently there are no guidelines for those conducting primary studies about the measurement of outcome following intervention for SR. Most people would agree that it is important to measure school attendance as an outcome but there has been little discussion about other constructs that warrant measurement. To facilitate this discussion and support the development of guidelines, we conducted a scoping review of constructs measured in studies evaluating intervention for SR. We screened the title and abstract of 3,213 publications found in peer-reviewed journals between 1980 and 2019. After full text review of 271 publications, 50 publications describing 51 studies were included. Results address the frequency with which constructs were measured, along with instruments used, informants, and time-points for measurement. Based on the results, we offer guidelines for choosing constructs to measure following intervention for SR and considerations for how to measure the constructs. Guidelines can increase consistency across primary studies, with benefits for future meta-analyses and international comparisons. They also provide support for practitioners contemplating routine evaluation of their interventions for SR. Ultimately, a core outcome set for SR can be developed.

Internalizing Symptoms as Predictors of School Absenteeism Severity at Multiple Levels: Ensemble and Classification and Regression Tree Analysis

School attendance problems are highly prevalent worldwide, leading researchers to investigate many different risk factors for this population. Of considerable controversy is how internalizing behavior problems might help to distinguish different types of youth with school attendance problems. In addition, efforts are ongoing to identify the point at which children and adolescents move from appropriate school attendance to problematic school absenteeism. The present study utilized ensemble and classification and regression tree analysis to identify potential internalizing behavior risk factors among youth at different levels of school absenteeism severity (i.e., 1+%, 3+%, 5+%, 10+%). Higher levels of absenteeism were also examined on an exploratory basis. Participants included 160 youth aged 6-19 years (M = 13.7; SD = 2.9) and their families from an outpatient therapy clinic (39.4%) and community (60.6%) setting, the latter from a family court and truancy diversion program cohort. One particular item relating to lack of enjoyment was most predictive of absenteeism severity at different levels, though not among the highest levels. Other internalizing items were also predictive of various levels of absenteeism severity, but only in a negatively endorsed fashion. Internalizing symptoms of worry and fatigue tended to be endorsed higher across less severe and more severe absenteeism severity levels. A general expectation that predictors would tend to be more homogeneous at higher than lower levels of absenteeism severity was not generally supported. The results help confirm the difficulty of conceptualizing this population based on forms of behavior but may support the need for early warning sign screening for youth at risk for school attendance problems.