The goal of this study was to determine the extent to which parental perceptions of child vulnerability
predict school absences and social anxiety in school - age children with rheumatic and pulmonary disease.
In total, four stepwise hierarchical regressions were performed: one
predicting school absences and separate hierarchical regression analyses for each factor of the SASC - R because results of a multivariate hierarchical regression analysis were significant, Wilk's lambda, F (3, 62) = 6.24, p <.01.
Not exact matches
Drawing on the same data, we will examine whether self - reported measures of students» non-tested outcomes
predict related
school behaviors (e.g.,
absences, suspensions, on - time grade progression, GPA) in subsequent years.
In this brief examining
absences in September and later
schools attendance, we found the September
absences predicted later chronic
absence, missing more than 20 days a year) after controlling for student demographic characteristics, service receipt, and attendance the previous
school year (2011 - 12).
Research has shown that starting as early as kindergarten, chronic
absences can
predict lower third grade reading scores, and by middle
school, it can signal which students are more likely to drop out of high
school or come into contact with the juvenile justice system.
By sixth grade, chronic
absence predicts the likelihood of a student dropping out of high
school.84 In the 2013 - 14
school year, 14 percent of students in the United States — or 1 in 7 students — were chronically absent, having missed at least 15 days of
school.85 Chronic
absences were particularly prevalent among students from low - income families, students of color, and students with disabilities.86 As a result, consistently missing
school compounds the challenges that disadvantaged students already face.
Regarding mathematics abilities, results indicated the significant contribution of both socioeconomic status and level of
school absences in
predicting the math scores of students with asthma.