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Gutmore, Daniel; Marx, Jason – AASA Journal of Scholarship & Practice, 2020
The purpose of this quantitative study was to research how school and principal demographics influence a principal's implementation of the walkthrough process. Principals from New Jersey were administered a survey to provide insight into how they implement the walkthrough process in their schools. The findings suggest that socioeconomic status and…
Descriptors: Principals, Observation, Program Implementation, Classroom Observation Techniques
Wolfe, Adam – ProQuest LLC, 2016
This correlational, explanatory, longitudinal study sought to determine the combination of community and family-level demographic variables found in the 2010 U.S. Census data that most accurately predicted a New Jersey school district's percentage of students scoring proficient or above on the 2010, 2011, and 2012 NJ ASK 7 in Language Arts and…
Descriptors: Family Involvement, Community Involvement, Grade 7, Academic Achievement
Miller, Portia; Votruba-Drzal, Elizabeth; McQuiggan, Meghan; Shaw, Alyssa – Journal of Educational Psychology, 2017
There are currently 2 principal models of publicly funded prekindergarten programs (pre-K): targeted pre-K, which is means-tested, and universal pre-K. These programs often differ in terms of the economic characteristics of the preschoolers enrolled. Studies have documented links between individual achievement in school-age children and the…
Descriptors: Preschool Education, School Demography, Economic Status, Preschool Children
Tienken, Christopher H. – Kappa Delta Pi Record, 2014
Out-of-school, community demographic and family-level variables have an important influence on student achievement as measured by large-scale standardized tests. Studies described here demonstrated that about half of the test score is accounted for by variables outside the control of teachers and school administrators. The results from these…
Descriptors: Academic Achievement, Standardized Tests, Predictor Variables, Validity
Turnamian, Peter G. – ProQuest LLC, 2012
This study examined the strength and direction of the relationship between 2009 NJ ASK 3 Language Arts and Mathematics scores and district social and demographic data (i.e., lone-parent household, level of parental education, and household income levels) found in the extant literature to influence student achievement on high-stakes standardized…
Descriptors: School Districts, Demography, Language Tests, Mathematics Tests
Advocates for Children of New Jersey, 2016
This annual snapshot of child well-being is intended to inform policymakers and the public of the progress of and challenges to ensuring the health, welfare, and safety of all children. Following an introduction, this report contains seven sections: (1) The State of Children and Families, including data on births and family structure; (2) The…
Descriptors: Well Being, Children, Family Characteristics, Child Health
Excelencia in Education (NJ1), 2012
In 2009, Excelencia in Education launched the Ensuring America's Future initiative to inform, organize, and engage leaders in a tactical plan to increase Latino college completion. An executive summary of Latino College Completion in 50 states synthesizes information on 50 state factsheets and builds on the national benchmarking guide. Each…
Descriptors: Academic Achievement, Access to Education, Achievement Gap, Benchmarking
Advocates for Children of New Jersey, 2015
This annual snapshot of child well-being is intended to inform policymakers and the public of the progress of and challenges to ensuring the health, welfare, and safety of all children. Following a special section on the racial disparities that exist among New Jersey children based on the Annie E. Casey Foundation's "Race for Results"…
Descriptors: Well Being, Children, Family Characteristics, Child Health
National Center for Public Policy and Higher Education, 2008
The purpose of a state report card is to provide the general public and policymakers with information to assess and improve post secondary education in each state. "Measuring Up 2008" is the fifth in a series of biennial report cards that evaluates states in six overall performance categories: (1) Preparation for post-secondary education…
Descriptors: Higher Education, Academic Achievement, Academic Persistence, Access to Education
Jackson, Edison O.; McMillan, Robert L. – 1975
A total of nineteen student characteristic variables subsumed into four categories--basic classification, demographic, cognitive, and affective--were examined in a study of 2,253 new students in fall 1974 and 2,330 new students in winter 1975 at Essex County College (ECC) New Jersey. The purpose of the study was to allow ECC to determine the areas…
Descriptors: Academic Ability, Academic Achievement, Aspiration, Black Students
Wainer, Howard – 1994
This report is the beginning of a series that will examine the performance of the school children of New Jersey relative to the performance of other children in the United States and worldwide. The measure of performance used was the 1992 National Assessment of Educational Progress (NAEP) mathematics examinations and their linked versions of the…
Descriptors: Academic Achievement, Comparative Analysis, Demography, Elementary School Students
Koffler, Stephen L. – 1977
In 1976, New Jersey public law established uniform statewide minimum standards in the basic communication and computational skills for publicly educated students in the state. To implement the law for the year 1976-77, the New Jersey Educational Assessment Program administered tests to all fourth, seventh, and tenth grade students. These tests…
Descriptors: Academic Achievement, Basic Skills, Behavioral Objectives, Demography
Koffler, Stephen L.
An extensive Elementary and Secondary Education Act (ESEA) Title I data base was developed in order to study the distribution and effect of Title I funds in New Jersey. The information in this data base was then analyzed in conjunction with information concerning reading and mathematics achievement, program adoption, and demography, to determine…
Descriptors: Academic Achievement, Compensatory Education, Correlation, Data Analysis