Date of Award

Spring 3-1-2018

Degree Type

Dissertation

Degree Name

EdD Education Leadership, Management and Policy

Department

Education Leadership, Management and Policy

Advisor

Luke Stedrak, Ed.D.

Committee Member

Christopher Tienken, Ed.D.

Committee Member

Dale Caldwell, Ed.D.

Committee Member

Dr. Brian Gaten, Ed.D.

Keywords

PARCC, High-Stakes Testing, Education, New Jersey, Testing, TEACHNJ, Predictability

Abstract

The purpose of this study was to determine the predictive accuracy of community and family demographic variables, which are found through the use of the 2010 U.S. Census data, on the percentage of students at a district level who are Meeting or Exceeding Expectations on the 2016 New Jersey PARCC in Algebra 1 and Grade 10 English Language Arts/Literacy. The results of this study support the past research and existing literature that has found out-of-school community and family demographics affect and predict how students will perform on state standardized assessments. Based on this study, we can conclude that out certain combinations of out-of- school variables found in the 2010 U.S. Census can be used to predict with accuracy the percentage of students at a district level who are Meeting or Exceeding Expectations on the 2016 New Jersey PARCC in Algebra 1 and Grade 10 English Language Arts/Literacy.

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