This study examined the relationship between the 2013 New Jersey High School Proficiency Assessment (HSPA) Language Arts and Mathematics scores and school level data related to family human capital and community social capital found in the extant literature to influence student achievement on high-stakes standardized assessments. School level data included percentage of families in poverty for 12 months, percentage of lone-parent households (total), and percentage of population with some college. Final analysis utilized hierarchical linear regression and the application of a mathematical algorithm found in extant literature. The study incorporated New Jersey high schools that (a) tested more than 25 students in the 11th grade, (b) had valid 2013 NJ HSPA results in the Language Arts and Mathematics sections, and (c) complete census data existed for the communities they served. The final sample size included 168 towns in the state of New Jersey. The final Language Arts model was able to accurately predict 125 of the 168 (74%) passing rates within 4 percentage points, factoring for the model’s standard error of the estimate. The final Mathematics model was able to accurately predict 131 of the 168 (78%) passing rates within 8 percentage points, factoring for the model’s standard error of the estimate.
","abstract_html":"<p>This study examined the relationship between the 2013 New Jersey High School Proficiency Assessment (HSPA) Language Arts and Mathematics scores and school level data related to family human capital and community social capital found in the extant literature to influence student achievement on high-stakes standardized assessments. School level data included percentage of families in poverty for 12 months, percentage of lone-parent households (total), and percentage of population with some college. Final analysis utilized hierarchical linear regression and the application of a mathematical algorithm found in extant literature. The study incorporated New Jersey high schools that (a) tested more than 25 students in the 11<sup>th</sup> grade, (b) had valid 2013 NJ HSPA results in the Language Arts and Mathematics sections, and (c) complete census data existed for the communities they served. The final sample size included 168 towns in the state of New Jersey. The final Language Arts model was able to accurately predict 125 of the 168 (74%) passing rates within 4 percentage points, factoring for the model’s standard error of the estimate. The final Mathematics model was able to accurately predict 131 of the 168 (78%) passing rates within 8 percentage points, factoring for the model’s standard error of the estimate.</p>","abstract_has_math":false,"creators":["Lynch, Christopher D."],"institution":null,"degree_name":"PhD Higher Education Leadership, Management, Policy","degree_level":"Dissertation","degree_discipline":"Education Leadership, Management and Policy","degree_department":null,"school":null,"contributors":["Christopher H. Tienken, Ed.D.","Gerard Babo, Ed.D.","Eunyoung Kim, Ph.D."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-10-22T07:00:00Z","date_published":"2015-10-22T07:00:00Z","updated_at":"2026-07-24T04:33:15Z","subjects":["High School Proficiency Assessment (HSPA)","Language Arts (Secondary)","Mathematics (Secondary)","Human Capital","Social Capital","Standardized Assessment","Barriers to Higher Education","High Stakes Tests","Educational Assessment, Evaluation, and Research"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarship.shu.edu/dissertations/2121","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Christopher H. Tienken, Ed.D.","Gerard Babo, Ed.D.","Eunyoung Kim, Ph.D."]},{"key":"dc:creator","label":"Author","values":["Lynch, Christopher D."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2015-12-11T08:00:00Z"]},{"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":["PhD Higher Education Leadership, Management, Policy"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["High School Proficiency Assessment (HSPA)","Language Arts (Secondary)","Mathematics (Secondary)","Human Capital","Social Capital","Standardized Assessment","Barriers to Higher Education","High Stakes Tests","Educational Assessment, Evaluation, and Research"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarship.shu.edu/dissertations/2121"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This study examined the relationship between the 2013 New Jersey High School Proficiency Assessment (HSPA) Language Arts and Mathematics scores and school level data related to family human capital and community social capital found in the extant literature to influence student achievement on high-stakes standardized assessments. School level data included percentage of families in poverty for 12 months, percentage of lone-parent households (total), and percentage of population with some college. Final analysis utilized hierarchical linear regression and the application of a mathematical algorithm found in extant literature. The study incorporated New Jersey high schools that (a) tested more than 25 students in the 11th grade, (b) had valid 2013 NJ HSPA results in the Language Arts and Mathematics sections, and (c) complete census data existed for the communities they served. The final sample size included 168 towns in the state of New Jersey. The final Language Arts model was able to accurately predict 125 of the 168 (74%) passing rates within 4 percentage points, factoring for the model’s standard error of the estimate. The final Mathematics model was able to accurately predict 131 of the 168 (78%) passing rates within 8 percentage points, factoring for the model’s standard error of the estimate.
"]},{"key":"dc:title","label":"Title","values":["Predicting New Jersey High School Proficiency Test Results in Mathematics and Language Arts Using Community Demographic Data"]}]}],"canonical_facts":{"dc:contributor":["Christopher H. Tienken, Ed.D.","Gerard Babo, Ed.D.","Eunyoung Kim, Ph.D."],"dc:creator":["Lynch, Christopher D."],"dc:date.available":["2015-12-11T08:00:00Z"],"dc:description.abstract":["This study examined the relationship between the 2013 New Jersey High School Proficiency Assessment (HSPA) Language Arts and Mathematics scores and school level data related to family human capital and community social capital found in the extant literature to influence student achievement on high-stakes standardized assessments. School level data included percentage of families in poverty for 12 months, percentage of lone-parent households (total), and percentage of population with some college. Final analysis utilized hierarchical linear regression and the application of a mathematical algorithm found in extant literature. The study incorporated New Jersey high schools that (a) tested more than 25 students in the 11th grade, (b) had valid 2013 NJ HSPA results in the Language Arts and Mathematics sections, and (c) complete census data existed for the communities they served. The final sample size included 168 towns in the state of New Jersey. The final Language Arts model was able to accurately predict 125 of the 168 (74%) passing rates within 4 percentage points, factoring for the model’s standard error of the estimate. The final Mathematics model was able to accurately predict 131 of the 168 (78%) passing rates within 8 percentage points, factoring for the model’s standard error of the estimate.
"],"dc:identifier":["https://scholarship.shu.edu/dissertations/2121"],"dc:subject":["High School Proficiency Assessment (HSPA)","Language Arts (Secondary)","Mathematics (Secondary)","Human Capital","Social Capital","Standardized Assessment","Barriers to Higher Education","High Stakes Tests","Educational Assessment, Evaluation, and Research"],"dc:title":["Predicting New Jersey High School Proficiency Test Results in Mathematics and Language Arts Using Community Demographic Data"],"thesis:degree_discipline":["Education Leadership, Management and Policy"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["PhD Higher Education Leadership, Management, Policy"]},"updated_at":"2026-07-24T04:33:15Z"}