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.
Recommended Citation
Maroun, Jamil, "The Predictive Power of Out-of-School Community and Family Level Demographic Factors on District Level Student Performance on the New Jersey PARCC in Algebra 1 and Grade 10 English Language Arts/Literacy" (2018). Seton Hall University Dissertations and Theses (ETDs). 2506.
https://scholarship.shu.edu/dissertations/2506
Included in
Educational Assessment, Evaluation, and Research Commons, Educational Leadership Commons, Education Economics Commons, Junior High, Intermediate, Middle School Education and Teaching Commons
