This study examined the predictive accuracy of family and community demographic variables found in the U.S. Census data on the percentage of students at the school level who scored Proficient or above on the NJ ASK 6 and 7 Mathematics section when controlling for teacher mobility and level of teacher education. Analysis included simultaneous multiple linear regression and hierarchical linear regression. This study looked at 100% of the New Jersey school districts with complete sets of 2010 NJ ASK 6 and 7 data and 2010 census data and tested at least 25 students in each grade level. Only schools servicing Grades 6 and 7 students from their hometown were included to maintain clean demographic data. The results of this study revealed that 67% of school level 2010 NJ ASK 6 Math scores could be predicted within 10 points by looking solely at three out-of-school community variables. The results of this study also revealed that 72% of school level 2010 NJ ASK 7 Math scores could be predicted within 10 points by looking solely at three out-of-school community variables. This research study contributes to the limited but growing body of knowledge indicating inadequacy of the use of state standardized assessments as the sole measure of student achievement.
","abstract_html":"<p>This study examined the predictive accuracy of family and community demographic variables found in the U.S. Census data on the percentage of students at the school level who scored Proficient or above on the NJ ASK 6 and 7 Mathematics section when controlling for teacher mobility and level of teacher education. Analysis included simultaneous multiple linear regression and hierarchical linear regression. This study looked at 100% of the New Jersey school districts with complete sets of 2010 NJ ASK 6 and 7 data and 2010 census data and tested at least 25 students in each grade level. Only schools servicing Grades 6 and 7 students from their hometown were included to maintain clean demographic data. The results of this study revealed that 67% of school level 2010 NJ ASK 6 Math scores could be predicted within 10 points by looking solely at three out-of-school community variables. The results of this study also revealed that 72% of school level 2010 NJ ASK 7 Math scores could be predicted within 10 points by looking solely at three out-of-school community variables. This research study contributes to the limited but growing body of knowledge indicating inadequacy of the use of state standardized assessments as the sole measure of student achievement.</p>","abstract_has_math":false,"creators":["McCahill, Kevin R."],"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":["Anthony Colella, Ph.D","Christopher Tienken, Ed.D","Tracey Polizzi, Ph.D","Amanda Gunning, Ph.D"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-08-17T07:00:00Z","date_published":"2015-08-17T07:00:00Z","updated_at":"2026-07-24T04:32:59Z","subjects":["Educational Leadership","Assessment","Policy","Evaluation","Curriculum","Teaching","Curriculum and Instruction","Curriculum and Social Inquiry","Other Educational Administration and Supervision"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarship.shu.edu/dissertations/2088","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Anthony Colella, Ph.D","Christopher Tienken, Ed.D","Tracey Polizzi, Ph.D","Amanda Gunning, Ph.D"]},{"key":"dc:creator","label":"Author","values":["McCahill, Kevin R."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2015-07-14T07:00:00Z"]},{"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":["Educational Leadership","Assessment","Policy","Evaluation","Curriculum","Teaching","Curriculum and Instruction","Curriculum and Social Inquiry","Other Educational Administration and Supervision"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarship.shu.edu/dissertations/2088"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This study examined the predictive accuracy of family and community demographic variables found in the U.S. Census data on the percentage of students at the school level who scored Proficient or above on the NJ ASK 6 and 7 Mathematics section when controlling for teacher mobility and level of teacher education. Analysis included simultaneous multiple linear regression and hierarchical linear regression. This study looked at 100% of the New Jersey school districts with complete sets of 2010 NJ ASK 6 and 7 data and 2010 census data and tested at least 25 students in each grade level. Only schools servicing Grades 6 and 7 students from their hometown were included to maintain clean demographic data. The results of this study revealed that 67% of school level 2010 NJ ASK 6 Math scores could be predicted within 10 points by looking solely at three out-of-school community variables. The results of this study also revealed that 72% of school level 2010 NJ ASK 7 Math scores could be predicted within 10 points by looking solely at three out-of-school community variables. This research study contributes to the limited but growing body of knowledge indicating inadequacy of the use of state standardized assessments as the sole measure of student achievement.
"]},{"key":"dc:title","label":"Title","values":["A Family and Community Variable Prediction Model for NJ ASK Mathematics Sixth and Seventh Grade Assessments Results: The Impact on School Evaluation"]}]}],"canonical_facts":{"dc:contributor":["Anthony Colella, Ph.D","Christopher Tienken, Ed.D","Tracey Polizzi, Ph.D","Amanda Gunning, Ph.D"],"dc:creator":["McCahill, Kevin R."],"dc:date.available":["2015-07-14T07:00:00Z"],"dc:description.abstract":["This study examined the predictive accuracy of family and community demographic variables found in the U.S. Census data on the percentage of students at the school level who scored Proficient or above on the NJ ASK 6 and 7 Mathematics section when controlling for teacher mobility and level of teacher education. Analysis included simultaneous multiple linear regression and hierarchical linear regression. This study looked at 100% of the New Jersey school districts with complete sets of 2010 NJ ASK 6 and 7 data and 2010 census data and tested at least 25 students in each grade level. Only schools servicing Grades 6 and 7 students from their hometown were included to maintain clean demographic data. The results of this study revealed that 67% of school level 2010 NJ ASK 6 Math scores could be predicted within 10 points by looking solely at three out-of-school community variables. The results of this study also revealed that 72% of school level 2010 NJ ASK 7 Math scores could be predicted within 10 points by looking solely at three out-of-school community variables. This research study contributes to the limited but growing body of knowledge indicating inadequacy of the use of state standardized assessments as the sole measure of student achievement.
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