{"id":{"repo_id":"shu-thes","oai_identifier":"oai:scholarship.shu.edu:dissertations-3119"},"canonical_url":"https://search.dev.ndltd.org/etd/shu-thes/oai:scholarship.shu.edu:dissertations-3119","repository":{"repo_id":"shu-thes","name":"Seton Hall University","base_url":"https://scholarship.shu.edu/do/oai/"},"display":{"title":"The Value of Iowa School District Community Demographic Data in Explaining School District ITBS/ITED 3rd and 11th Grade Language Arts and Mathematics Scores","abstract":"<p>The purpose of this study was to determine which combination of 15 community demographic factors account for the most amount of variance and can best predict an Iowa school district’s percentage of students scoring proficient or above on the 2010 Iowa Test of Basic Skills (ITBS) and Iowa Test of Educational Development (ITED) for 3<sup>rd</sup> and 11<sup>th</sup> grade Language Arts and Mathematics. This study, along with extant literature and past research, supports the hypothesis that community demographic factors have an impact on state standardized test scores. </p> <p>This study revealed that 20.4% of the variance in 2010 ITBS 3<sup>rd</sup> grade Language Arts scores can be explained by community demographic variables; 12.2% of the variance in 2010 ITBS 3<sup>rd</sup> grade Mathematics scores can be explained by community demographic variables; 20.3% of the variance in 2010 ITED 11<sup>th</sup> grade Language Arts scores can be explained by community demographic variables; 23.6% of the variance in 2010 ITED 11<sup>th</sup> grade Mathematics scores can be explained by community demographic variables. Using only community demographic factors, this study successfully predicted as much as 73% (11<sup>th</sup> grade Language Arts) of the actual 2010 ITBS/ITED scores and as much as 69% (11<sup>th</sup> grade Mathematics) of the actual 2010 ITBS/ITED scores. The results of this study add to the growing body of research that community demographic factors influence student achievement results.</p>","abstract_html":"&lt;p&gt;The purpose of this study was to determine which combination of 15 community demographic factors account for the most amount of variance and can best predict an Iowa school district’s percentage of students scoring proficient or above on the 2010 Iowa Test of Basic Skills (ITBS) and Iowa Test of Educational Development (ITED) for 3&lt;sup&gt;rd&lt;/sup&gt; and 11&lt;sup&gt;th&lt;/sup&gt; grade Language Arts and Mathematics. This study, along with extant literature and past research, supports the hypothesis that community demographic factors have an impact on state standardized test scores. &lt;/p&gt; &lt;p&gt;This study revealed that 20.4% of the variance in 2010 ITBS 3&lt;sup&gt;rd&lt;/sup&gt; grade Language Arts scores can be explained by community demographic variables; 12.2% of the variance in 2010 ITBS 3&lt;sup&gt;rd&lt;/sup&gt; grade Mathematics scores can be explained by community demographic variables; 20.3% of the variance in 2010 ITED 11&lt;sup&gt;th&lt;/sup&gt; grade Language Arts scores can be explained by community demographic variables; 23.6% of the variance in 2010 ITED 11&lt;sup&gt;th&lt;/sup&gt; grade Mathematics scores can be explained by community demographic variables. Using only community demographic factors, this study successfully predicted as much as 73% (11&lt;sup&gt;th&lt;/sup&gt; grade Language Arts) of the actual 2010 ITBS/ITED scores and as much as 69% (11&lt;sup&gt;th&lt;/sup&gt; grade Mathematics) of the actual 2010 ITBS/ITED scores. The results of this study add to the growing body of research that community demographic factors influence student achievement results.&lt;/p&gt;","abstract_has_math":false,"creators":["Darnall, Byron E"],"institution":null,"degree_name":"Executive Ed.D. in Education Leadership Management and Policy","degree_level":"Dissertation","degree_discipline":"Education Leadership, Management and Policy","degree_department":null,"school":null,"contributors":["Gerard Babo, Ed.D.","Anthony Colella, Ph.D.","Jason Glass, Ed.D.","Ryan Wise, Ed.L.D."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-03-13T07:00:00Z","date_published":"2015-03-13T07:00:00Z","updated_at":"2026-07-24T04:32:59Z","subjects":["standardized test scores","poverty","demographic factors","Educational Assessment, Evaluation, and Research","Educational Leadership"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarship.shu.edu/dissertations/2075","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Gerard Babo, Ed.D.","Anthony Colella, Ph.D.","Jason Glass, Ed.D.","Ryan Wise, Ed.L.D."]},{"key":"dc:creator","label":"Author","values":["Darnall, Byron E"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2015-06-02T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Education Leadership, Management and Policy"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Executive Ed.D. in Education Leadership Management and Policy"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["standardized test scores","poverty","demographic factors","Educational Assessment, Evaluation, and Research","Educational Leadership"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarship.shu.edu/dissertations/2075"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>The purpose of this study was to determine which combination of 15 community demographic factors account for the most amount of variance and can best predict an Iowa school district’s percentage of students scoring proficient or above on the 2010 Iowa Test of Basic Skills (ITBS) and Iowa Test of Educational Development (ITED) for 3<sup>rd</sup> and 11<sup>th</sup> grade Language Arts and Mathematics. This study, along with extant literature and past research, supports the hypothesis that community demographic factors have an impact on state standardized test scores. </p> <p>This study revealed that 20.4% of the variance in 2010 ITBS 3<sup>rd</sup> grade Language Arts scores can be explained by community demographic variables; 12.2% of the variance in 2010 ITBS 3<sup>rd</sup> grade Mathematics scores can be explained by community demographic variables; 20.3% of the variance in 2010 ITED 11<sup>th</sup> grade Language Arts scores can be explained by community demographic variables; 23.6% of the variance in 2010 ITED 11<sup>th</sup> grade Mathematics scores can be explained by community demographic variables. Using only community demographic factors, this study successfully predicted as much as 73% (11<sup>th</sup> grade Language Arts) of the actual 2010 ITBS/ITED scores and as much as 69% (11<sup>th</sup> grade Mathematics) of the actual 2010 ITBS/ITED scores. The results of this study add to the growing body of research that community demographic factors influence student achievement results.</p>"]},{"key":"dc:title","label":"Title","values":["The Value of Iowa School District Community Demographic Data in Explaining School District ITBS/ITED 3rd and 11th Grade Language Arts and Mathematics Scores"]}]}],"canonical_facts":{"dc:contributor":["Gerard Babo, Ed.D.","Anthony Colella, Ph.D.","Jason Glass, Ed.D.","Ryan Wise, Ed.L.D."],"dc:creator":["Darnall, Byron E"],"dc:date.available":["2015-06-02T07:00:00Z"],"dc:description.abstract":["<p>The purpose of this study was to determine which combination of 15 community demographic factors account for the most amount of variance and can best predict an Iowa school district’s percentage of students scoring proficient or above on the 2010 Iowa Test of Basic Skills (ITBS) and Iowa Test of Educational Development (ITED) for 3<sup>rd</sup> and 11<sup>th</sup> grade Language Arts and Mathematics. This study, along with extant literature and past research, supports the hypothesis that community demographic factors have an impact on state standardized test scores. </p> <p>This study revealed that 20.4% of the variance in 2010 ITBS 3<sup>rd</sup> grade Language Arts scores can be explained by community demographic variables; 12.2% of the variance in 2010 ITBS 3<sup>rd</sup> grade Mathematics scores can be explained by community demographic variables; 20.3% of the variance in 2010 ITED 11<sup>th</sup> grade Language Arts scores can be explained by community demographic variables; 23.6% of the variance in 2010 ITED 11<sup>th</sup> grade Mathematics scores can be explained by community demographic variables. Using only community demographic factors, this study successfully predicted as much as 73% (11<sup>th</sup> grade Language Arts) of the actual 2010 ITBS/ITED scores and as much as 69% (11<sup>th</sup> grade Mathematics) of the actual 2010 ITBS/ITED scores. The results of this study add to the growing body of research that community demographic factors influence student achievement results.</p>"],"dc:identifier":["https://scholarship.shu.edu/dissertations/2075"],"dc:subject":["standardized test scores","poverty","demographic factors","Educational Assessment, Evaluation, and Research","Educational Leadership"],"dc:title":["The Value of Iowa School District Community Demographic Data in Explaining School District ITBS/ITED 3rd and 11th Grade Language Arts and Mathematics Scores"],"thesis:degree_discipline":["Education Leadership, Management and Policy"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Executive Ed.D. in Education Leadership Management and Policy"]},"updated_at":"2026-07-24T04:32:59Z"}