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Showing 1 to 15 of 17 results Save | Export
New York State Education Department, 2020
This document describes the model used to measure student growth for institutional accountability in New York State for the 2018/19 school year and how three years of student growth results were combined to generate a three-year growth measure called the Growth Index. The Growth Index was first used in 2017/18 to make accountability…
Descriptors: Growth Models, Accountability, Scores, Predictor Variables
New York State Education Department, 2019
This document describes the model used to measure student growth for institutional accountability in New York State for the 2017/18 school year and how three years of student growth results were combined to generate a three-year growth measure called the Growth Index. The Growth Index is new in 2017/18 and is used to make accountability…
Descriptors: Growth Models, Accountability, State Departments of Education, Scores
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Regional Educational Laboratory Southeast, 2019
In spring 2015 Mississippi began testing the college readiness of all grade 11 public high school students and found that approximately 18 percent were ready for college math, a percentage that had changed little by 2017/18. This study examined: (1) the sequences of math courses that Mississippi students took in grades 6-11; (2) the math…
Descriptors: Grade 6, Grade 7, Grade 8, Grade 9
New York State Education Department, 2017
This document describes the model used by the New York State Education Department (NYSED) to measure student growth for institutional accountability in New York State for the 2016/17 school year. In 2016/17, growth models were implemented for institutional accountability in Grades 4-8 ELA and mathematics. All models are based on assessing each…
Descriptors: State Departments of Education, Growth Models, Accountability, Research Reports
New York State Education Department, 2017
This document describes the model used by the New York State Education Department (NYSED) to measure student growth for institutional accountability in New York State for the 2015/16 school year. In 2015/16, growth models were implemented for institutional accountability in Grades 4-8 ELA and mathematics. All models are based on assessing each…
Descriptors: State Departments of Education, Growth Models, Accountability, Research Reports
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Stuit, David; Lindsay, Jim; Loney, Emily – Regional Educational Laboratory Midwest, 2016
This study analyzed data on students in three Ohio school districts who had completed grades 8 and 9 to determine which data elements were the most accurate indicators of students' failure to graduate from high school on time. The most accurate indicators varied by district and grade level, which underscores the importance of having school systems…
Descriptors: Dropout Prevention, Academic Failure, Graduation, Accuracy
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Tofighi, Davood; Thoemmes, Felix – Journal of Early Adolescence, 2014
Mediation analysis is a statistical approach used to examine how the effect of an independent variable on an outcome is transmitted through an intervening variable (mediator). In this article, we provide a gentle introduction to single-level and multilevel mediation analyses. Using single-level data, we demonstrate an application of structural…
Descriptors: Statistical Analysis, Predictor Variables, Structural Equation Models, Computation
Foy, Pierre, Ed.; Arora, Alka, Ed.; Stanco, Gabrielle M., Ed. – International Association for the Evaluation of Educational Achievement, 2013
This supplement contains documentation on all the derived variables contained in the TIMSS 2011 data files that are based on background questionnaire variables. These variables were used to report background data in the TIMSS 2011 International Results in Mathematics and TIMSS 2011 International Results in Science reports, and are made available…
Descriptors: Questionnaires, Guides, Guidelines, International Education
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Curtin, Jenny; Hurwitch, Bill; Olson, Tom – National Center for Education Statistics, 2012
An early warning system is a data-based tool that helps predict which students are on the right path towards eventual graduation or other grade-appropriate goals. Through such systems, stakeholders at the school and district levels can view data from a wide range of perspectives and gain a deeper understanding of student data. This "Statewide…
Descriptors: Databases, Educational Indicators, Predictor Variables, At Risk Students
Campaign for Fiscal Equity, Inc., 2010
The ominous prediction is that New York City eighth-graders in the 2010 cohort will enter high school only slightly better prepared than the 2004 cohort to meet the Regents-diploma requirements. Their challenge will likely be compounded by higher Regents examination standards. Without widespread implementation of effective strategies to assist…
Descriptors: State Standards, Academic Standards, Urban Schools, Student Diversity
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de Oliveira, Luciana C. – History Teacher, 2010
The ability to read is well-recognized as essential to being successful in school history. To be able to read history textbooks effectively, students can be made aware of some features typical of history discourse. Knowledge of how nominal groups are functional in history discourse can help students and teachers engage with the meanings presented…
Descriptors: Reading Ability, Predictor Variables, Academic Achievement, Textbooks
National Assessment Governing Board, 2012
Since 1973, the National Assessment of Educational Progress (NAEP) has gathered information about student achievement in mathematics. Results of these periodic assessments, produced in print and web-based formats, provide valuable information to a wide variety of audiences. They inform citizens about the nature of students' comprehension of the…
Descriptors: Academic Achievement, Mathematics Achievement, National Competency Tests, Grade 4
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Yetkiner, Zeynep Ebrar – Middle Grades Research Journal, 2009
Commonality analysis is a method of partitioning variance to determine the predictive ability unique to each predictor (or predictor set) and common to two or more of the predictors (or predictor sets). The purposes of the present paper are to (a) explain commonality analysis in a multiple regression context as an alternative for middle grades…
Descriptors: Multivariate Analysis, Correlation, Regression (Statistics), Prediction
Brunner, Josie; Malerba, Cathy – Online Submission, 2010
This research brief provides highlights from the full report (published separately). In the report on AISD students, with a focus on the graduating class of 2009, the most powerful predictors of overall student dropout risk were having an 8th-grade attendance rate of less than 90% and failing both the 8th-grade reading and math TAKS tests. [For…
Descriptors: Grade 8, Predictor Variables, Dropout Characteristics, Dropouts
EdSource, 2010
This paper presents the research and methodology and analyses used for the "Gaining Ground in the Middle Grades" research. This appendix contains the following sections: (1) Overview; (2) Constructing the Survey Data File; (3) Constructing Composite Independent Variables (Subdomains); (4) Constructing Longitudinal Outcome Variables; (5)…
Descriptors: Academic Achievement, Measures (Individuals), Longitudinal Studies, Research Methodology
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