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Showing 1 to 15 of 17 results Save | Export
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Bowen, Natasha K.; Lucio, Robert; Patak-Pietrafesa, Michele; Bowen, Gary L. – Children & Schools, 2020
To support student success effectively, school teams need information on known predictors of youth behavior and academic performance. In contrast to measures of behavioral and academic outcomes that are commonly relied on in schools, the School Success Profile (SSP) for middle and high school students provides comprehensive information on…
Descriptors: Success, Predictor Variables, Behavior, Expectation
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Regional Educational Laboratory Southwest, 2021
This Study Snapshot highlights findings from a larger study on Arkansas's middle school and high school indicators of postsecondary readiness and success outcomes. The Arkansas Department of Education identified college and career readiness indicators in their Every Student Succeeds Act (ESSA) plan. Using two statewide cohorts of grade 6 students…
Descriptors: Prediction, Educational Indicators, College Readiness, College Entrance Examinations
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
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
This report examined three potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college: (1) Chicago: Designed to predict high school graduation; based on earning six course credits--the minimum to advance to the next grade in HISD--and having at most one semester…
Descriptors: Enrollment, At Risk Students, Urban Schools, 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
Minor, Kelly – Texas Education Research Center, 2017
In 2015, the Texas legislature passed House Bill 18 to bolster the college and career advising available to students in middle and high schools across the state. The Bill calls for multi-agency efforts to help counselors and other school personnel prepare students for postsecondary enrollment and entry into the workforce. Housed at the University…
Descriptors: State Legislation, Educational Legislation, Academic Advising, Career Counseling
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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
Lawrence, K. S. – National Center on Schoolwide Inclusive School Reform: The SWIFT Center, 2016
This brief describes how to use a free online behavior screener to identify student support needs in middle and high schools. Inclusive Behavior Instruction utilizes data to identify appropriate social-emotional supports for all students. The Lane et al. (2016) study demonstrated system-wide use of a free online behavior screener at the middle and…
Descriptors: Screening Tests, Student Behavior, Behavior Problems, Middle School Students
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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
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Callis, Kristine; Henkel, Melissa; Lund, Rachael – Science Scope, 2010
The objective of the termite experiment is to walk students through the process of designing and conducting an experiment while allowing them to use inquiry-based methods to infer why, in this lab, termites follow the line of blue Bic or Paper Mate brand ballpoint pens. This experiment also reinforces the concept of observation versus inference…
Descriptors: Animals, Inquiry, Scientific Attitudes, Science Process Skills
Cromwell, Ashley M.; McClarty, Katie Larsen; Larson, Sarah J. – Pearson Education, Inc., 2013
This paper outlines current student-level indicators at the high school and middle school levels that predict college success. In this bulletin, indicators are divided into three categories: assessment scores (e.g., SAT® exam scores), transcript attributes (e.g., course rigor), and additional indicators (e.g., attendance) that impact achievement.
Descriptors: College Readiness, Predictor Variables, Success, Middle School Students
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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
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