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Full-Text Articles in Education
Internalizing Symptoms As Predictors Of School Absenteeism Severity At Multiple Levels: Ensemble And Classification And Regression Tree Analysis, Mirae J. Fornander, Christopher A. Kearney
Internalizing Symptoms As Predictors Of School Absenteeism Severity At Multiple Levels: Ensemble And Classification And Regression Tree Analysis, Mirae J. Fornander, Christopher A. Kearney
Psychology Faculty Research
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 …
Family Environment Variables As Predictors Of School Absenteeism Severity At Multiple Levels: Ensemble And Classification And Regression Tree Analysis, Mirae J. Fornander, Christopher A. Kearney
Family Environment Variables As Predictors Of School Absenteeism Severity At Multiple Levels: Ensemble And Classification And Regression Tree Analysis, Mirae J. Fornander, Christopher A. Kearney
Psychology Faculty Research
School attendance problems, including school absenteeism, are common to many students worldwide, and frameworks to better understand these heterogeneous students include multiple classes or tiers of intertwined risk factors as well as interventions. Recent studies have thus examined risk factors at varying levels of absenteeism severity to demarcate distinctions among these tiers. Prior studies in this regard have focused more on demographic and academic variables and less on family environment risk factors that are endemic to this population. The present study utilized ensemble and classification and regression tree analysis to identify potential family environment risk factors among youth (i.e., children …