Award Date
8-1-2022
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Psychology
First Committee Member
Christopher Kearney
Second Committee Member
Michelle G. Paul
Third Committee Member
Murray Millar
Fourth Committee Member
Courtney Coughenour
Number of Pages
191
Abstract
School attendance/problems are a key focus of educational policy. Critical approaches to educational policy stress the importance of nontraditional methods that are inclusive of the needs of students from marginalized or minoritized groups. Students in these groups are already at an increased risk for school attendance problems due to complex systems interactions, and bolstering protective factors at the school level may be one way to promote inclusivity and equity. MTSS models are well suited to address attendance, and bolstering protective factors on a large-scale would fall under Tier 1 preventative efforts. School climate is one such protective factor that could improve attendance and prevent absenteeism, and may be particularly relevant for marginalized and minoritized students. The present study aimed to inform equitable and inclusive MTSS models by identifying school climate protective factors against SAPs for students of various subgroups based on available demographic factors, including race/ethnicity and IEP status. School climate subscales from the SCAMI were entered into decision trees, including CHAID and CART, to identify predictors of attendance at various cutoffs of school days missed. The
Keywords
absenteeism; cart; chaid; climate; decision trees; school
Disciplines
Psychology
File Format
File Size
10950 KB
Degree Grantor
University of Nevada, Las Vegas
Language
English
Repository Citation
Bacon, Victoria, "Utilizing Nonparametric Statistical Methods to Inform Equitable and Inclusive MTSS Models of School Attendance/Problems" (2022). UNLV Theses, Dissertations, Professional Papers, and Capstones. 4812.
http://dx.doi.org/10.34917/36948162
Rights
IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/