Research has shown that African American males have been singled out due to the fact most local and national data of academic achievement finds the group to underachieve significantly (Garibaldi, 2007). The purpose of this study is to examine variables which significantly predict lower levels of math achievement in regards to African American males. This study also examines variables that predict low math achievement for African American males to determine the most significant of the predictors. This quantitative case study includes sixth, seventh, and eighth grade African American male subjects from a middle school in the Southeast. Socioeconomic status, attendance, tests, discipline, and residential data for the study were collected from a database. A hierarchical multiple regression analysis was conducted to determine the most significant of the independent variables. The independent variables consist of socioeconomic status (SES), absences, prior math achievement, In School Suspension (ISS) days, and residential zones; the dependent variable was math achievement, measured by Criterion-Referenced Competency Test (CRCT) scores. There are multiple predictors that educators utilize when identifying students who need supplemental instruction and opportunities. Some predictors are more significant than others. This study attempts to identify the most crucial predictors to assist educators in guiding instructional practices to help African American males at risk.
","abstract_html":"<p>Research has shown that African American males have been singled out due to the fact most local and national data of academic achievement finds the group to underachieve significantly (Garibaldi, 2007). The purpose of this study is to examine variables which significantly predict lower levels of math achievement in regards to African American males. This study also examines variables that predict low math achievement for African American males to determine the most significant of the predictors. This quantitative case study includes sixth, seventh, and eighth grade African American male subjects from a middle school in the Southeast. Socioeconomic status, attendance, tests, discipline, and residential data for the study were collected from a database. A hierarchical multiple regression analysis was conducted to determine the most significant of the independent variables. The independent variables consist of socioeconomic status (SES), absences, prior math achievement, In School Suspension (ISS) days, and residential zones; the dependent variable was math achievement, measured by Criterion-Referenced Competency Test (CRCT) scores. There are multiple predictors that educators utilize when identifying students who need supplemental instruction and opportunities. Some predictors are more significant than others. This study attempts to identify the most crucial predictors to assist educators in guiding instructional practices to help African American males at risk.</p>","abstract_has_math":false,"creators":["Adams, Kelley"],"institution":null,"degree_name":"Doctor of Education","degree_level":"Dissertation","degree_discipline":"Counseling, Foundations & Leadership","degree_department":null,"school":null,"contributors":["Dr. Larry Beaty","Dr. Camille Bryant","Dr. Thomas McCormack"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-01-01T08:00:00Z","date_published":"2013-01-01T08:00:00Z","updated_at":"2026-07-24T01:45:25Z","subjects":["African American Males","Math Achievement","Socioeconomic Status (SES)","Criterion-Referenced Competency Tests (CRCT)","In School Suspension (ISS)","Educational Leadership","Science and Mathematics Education"],"languages":["English"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://csuepress.columbusstate.edu/theses_dissertations/210","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dr. Larry Beaty","Dr. Camille Bryant","Dr. Thomas McCormack"]},{"key":"dc:creator","label":"Author","values":["Adams, Kelley"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2017-04-27T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Counseling, Foundations & Leadership"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Education"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["African American Males","Math Achievement","Socioeconomic Status (SES)","Criterion-Referenced Competency Tests (CRCT)","In School Suspension (ISS)","Educational Leadership","Science and Mathematics Education"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://csuepress.columbusstate.edu/theses_dissertations/210"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Research has shown that African American males have been singled out due to the fact most local and national data of academic achievement finds the group to underachieve significantly (Garibaldi, 2007). The purpose of this study is to examine variables which significantly predict lower levels of math achievement in regards to African American males. This study also examines variables that predict low math achievement for African American males to determine the most significant of the predictors. This quantitative case study includes sixth, seventh, and eighth grade African American male subjects from a middle school in the Southeast. Socioeconomic status, attendance, tests, discipline, and residential data for the study were collected from a database. A hierarchical multiple regression analysis was conducted to determine the most significant of the independent variables. The independent variables consist of socioeconomic status (SES), absences, prior math achievement, In School Suspension (ISS) days, and residential zones; the dependent variable was math achievement, measured by Criterion-Referenced Competency Test (CRCT) scores. There are multiple predictors that educators utilize when identifying students who need supplemental instruction and opportunities. Some predictors are more significant than others. This study attempts to identify the most crucial predictors to assist educators in guiding instructional practices to help African American males at risk.
"]},{"key":"dc:title","label":"Title","values":["Identifying most significant predictors of low mathematics achievement in African American male middle school students"]}]}],"canonical_facts":{"dc:contributor":["Dr. Larry Beaty","Dr. Camille Bryant","Dr. Thomas McCormack"],"dc:creator":["Adams, Kelley"],"dc:date.available":["2017-04-27T07:00:00Z"],"dc:description.abstract":["Research has shown that African American males have been singled out due to the fact most local and national data of academic achievement finds the group to underachieve significantly (Garibaldi, 2007). The purpose of this study is to examine variables which significantly predict lower levels of math achievement in regards to African American males. This study also examines variables that predict low math achievement for African American males to determine the most significant of the predictors. This quantitative case study includes sixth, seventh, and eighth grade African American male subjects from a middle school in the Southeast. Socioeconomic status, attendance, tests, discipline, and residential data for the study were collected from a database. A hierarchical multiple regression analysis was conducted to determine the most significant of the independent variables. The independent variables consist of socioeconomic status (SES), absences, prior math achievement, In School Suspension (ISS) days, and residential zones; the dependent variable was math achievement, measured by Criterion-Referenced Competency Test (CRCT) scores. There are multiple predictors that educators utilize when identifying students who need supplemental instruction and opportunities. Some predictors are more significant than others. This study attempts to identify the most crucial predictors to assist educators in guiding instructional practices to help African American males at risk.
"],"dc:identifier":["https://csuepress.columbusstate.edu/theses_dissertations/210"],"dc:language":["English"],"dc:subject":["African American Males","Math Achievement","Socioeconomic Status (SES)","Criterion-Referenced Competency Tests (CRCT)","In School Suspension (ISS)","Educational Leadership","Science and Mathematics Education"],"dc:title":["Identifying most significant predictors of low mathematics achievement in African American male middle school students"],"thesis:degree_discipline":["Counseling, Foundations & Leadership"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Education"]},"updated_at":"2026-07-24T01:45:25Z"}