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Virginia Tech

Predicting Graduation from Prior Academic Achievement, Attendance, and Behavior: A Quantitative Analysis

Abstract

dc:description.abstract

The purpose of this study was to analyze high school graduation rates from prior academic achievement, attendance, and behavior in one school system over 4 years. The study addressed three questions, which of the students included in this study dropped out of high school, how exclusionary discipline affected students' attendance at school and their ability to graduate. In addition, for the students who dropped out, what was their exclusionary discipline rate, what was their chronic absenteeism rate, and what was the leading cause of students not graduating on time? By examining specific predictors, we can gain insight into why some students fail to graduate high school on time or drop out early. Keeping track of essential indicators such as attendance, behavior, and academic achievement in the classroom will increase the likelihood of students graduating after 4 years of high school. Using the comparative case study approach, this study compared four cohorts of students who graduated from one urban high school. A correlational, nonexperimental design was used. After the data were analyzed, using descriptive statistics and mean averages of the variables, it was discovered that, across three of the four study cohort clusters, there was a consistent overrepresentation of Hispanic male English language learners (ELLs) who experienced some type of exclusionary discipline, and who failed their Standards of Learning English reading/writing and mathematics assessments leading to them dropping out of school. As a result of tracking students' academics, attendance, and behaviors, schools can design professional development for teachers and school administrators to identify at-risk students early and assist them in preventing failure. In the mid-Atlantic region of the United States, academic warning indicator systems must be more representative of diverse student populations. This research supplements past fieldwork on this topic.

Degree

thesis:*
Name thesis:degree_name
Doctor of Education
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Educational Leadership and Policy Studies
Department dc:contributor.department
Educational Leadership and Policy Studies
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Nitowski, Robert Jude
Chair dc:contributor.committeechair
  • Mullen, Carol Ann
Committee members dc:contributor.committeemember
  • Moody, Pamela Neil
  • Price, Ted S.
  • Cash, Carol S.

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:37714
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/115334

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Nitowski, Robert Jude. Predicting Graduation from Prior Academic Achievement, Attendance, and Behavior: A Quantitative Analysis. doctoral thesis, Virginia Tech, 2023. http://hdl.handle.net/10919/115334