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Schulte, Ann C.; Stevens, Joseph J.; Nese, Joseph F. T.; Yel, Nedim; Tindal, Gerald; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2018
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Nese, Joseph F. T.; Stevens, Joseph J.; Schulte, Ann C.; Tindal, Gerald; Yel, Nedim; Anderson, Daniel; Matta, Tyler; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2018
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Stevens, Joseph J.; Nese, Joseph F. T.; Schulte, Ann C.; Tindal, Gerald; Yel, Nedim; Anderson, Daniel; Matta, Tyler; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2017
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Schulte, Ann C.; Nese, Joseph F. T.; Stevens, Joseph J.; Yel, Nedim; Tindal, Gerald; Anderson, Daniel; Elliott, Stephen N. – National Center on Assessment and Accountability for Special Education, 2017
This technical report is one of a series of four technical reports that describe the results of a study comparing eight alternative models for estimating school academic achievement using data from the Arizona, North Carolina, Oregon, and Pennsylvania accountability systems. The purpose of these reports was to evaluate a broad range of models…
Descriptors: School Effectiveness, Models, Computation, Comparative Analysis
Adelson, Jill L.; Dickinson, Emily R.; Cunningham, Brittany C. – Educational Researcher, 2016
This brief examined the patterns of reading achievement using statewide data from all students (Grades 3-10) in multiple years to examine gaps based on student, school, and district characteristics. Results indicate reading achievement varied most between students within schools and that students' prior achievement was the strongest predictor of…
Descriptors: Reading Achievement, Achievement Gap, School Districts, Institutional Characteristics
Dumay, Xavier; Coe, Rob; Anumendem, Dickson Nkafu – School Effectiveness and School Improvement, 2014
This paper aims to investigate how stability varies with the approach used in estimating school performance in a large sample of English primary schools. The results show that (a) raw performance is considerably more stable than adjusted performance, which in turn is slightly more stable than growth model estimates; (b) schools' performance…
Descriptors: Foreign Countries, Elementary Schools, School Effectiveness, Mathematical Models
Nunnery, John A.; Ross, Steven M.; Chappell, Shanan; Pribesh, Shana; Hoag-Carhart, Elizabeth – Online Submission, 2011
School leaders are increasingly being asked, whether by rhetoric or policy, to measurably improve student achievement. The resultant need to assist school leaders in their ability to improve teaching and learning for all students in their schools led to the establishment of the National Institute of School Leadership's (NISL's) Executive…
Descriptors: Caring, Academic Achievement, Management Development, Instructional Leadership
Nunnery, John A.; Yen, Cherng-Jyh; Ross, Steven M. – Online Submission, 2011
The National Institute of School Leadership's (NISL's) Executive Development Program (EDP) was established to provide professional development to school leaders to drive their schools to high performance. The program emphasizes the role of principals as strategic thinkers, instructional leaders, and creators of a just, fair, and caring culture in…
Descriptors: Leadership Training, Management Development, Instructional Leadership, Principals
Nunnery, John A.; Ross, Steven M.; Yen, Cherng-jyh – Online Submission, 2010
This study examined the impact of NISL's [National Institute for School Leadership's] Executive Development Program for principals on student achievement in Pennsylvania schools between 2006-2009. Roughly half of the NISL-trained principals started the program during the 2007 school year and completed it in the 2008 school year, whereas the other…
Descriptors: Middle Schools, Elementary Schools, High Schools, Academic Achievement
Heck, Ronald H. – Educational Administration Quarterly, 2006
Purpose: Currently under the No Child Left Behind Act, cut scores of successive cohorts of students are used to identify schools that are successful and others that are failing. For many schools, however, this score does not provide an accurate, fair, or comprehensive performance assessment. The focus of this study is to compare three alternative…
Descriptors: Federal Legislation, Educational Policy, Cohort Analysis, Academic Achievement
Mandeville, Garrett K.; Kennedy, Eugene – 1993
This paper reports the results of a study of changes in the social distribution of mathematics achievement for a cohort of public high school students. Using hierarchical linear modeling (HLM) the study sought to identify school characteristics which were significantly correlated with changes in achievement differences from grade 9 to grade 11…
Descriptors: Cohort Analysis, Comparative Analysis, Computer Software, Correlation