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Boorse, Jaclin; Van Norman, Ethan R. – Psychology in the Schools, 2021
Prior research on the Measures of Academic Progress (MAP), a computer-adaptive test distributed by the Northwest Evaluation Association, has primarily focused on the Reading MAP for screening/benchmarking in elementary grades. The purpose of this study was to explore the functional form of growth and the extent to which student variability in…
Descriptors: Achievement Tests, Mathematics Tests, Adaptive Testing, Computer Assisted Testing
Wells, Craig S.; Sireci, Stephen G. – Applied Measurement in Education, 2020
Student growth percentiles (SGPs) are currently used by several states and school districts to provide information about individual students as well as to evaluate teachers, schools, and school districts. For SGPs to be defensible for these purposes, they should be reliable. In this study, we examine the amount of systematic and random error in…
Descriptors: Growth Models, Reliability, Scores, Error Patterns
Karen Ramlackhan; Yan Wang – Urban Education, 2024
We used the Stanford education data archive (SEDA) data to examine the heterogeneity among urban school districts in the United States. The SEDA 2.1 includes data sets on students' mathematics (Math) and English language arts (ELA) achievement from 2008 to 2014 at the district level. Growth mixture modeling was used to uncover the underlying…
Descriptors: Urban Schools, Academic Achievement, Mathematics Education, English Curriculum
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Soland, James; Thum, Yeow Meng – Journal of Research on Educational Effectiveness, 2022
Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…
Descriptors: Academic Achievement, Longitudinal Studies, Data Use, Computation
Yavuz, Hatice Cigdem; Kutlu, Ömer – International Journal of Assessment Tools in Education, 2019
In this study, gain score, and categorical growth models were used to examine the role of student (gender and socioeconomic level) and school characteristics (school size and school resources) in the student growth on comprehension skills in language. The participants of this study were 2,416 sixth-grade students in 2011 who became seventh-grade…
Descriptors: Growth Models, Scores, Student Characteristics, Institutional Characteristics
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
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
Codding, Robin S.; Mercer, Sterett; Connell, James; Fiorello, Catherine; Kleinert, Whitney – School Psychology Review, 2016
There is a paucity of evidence supporting the use of curriculum-based mathematics measures (M-CBMs) at the middle school level, which makes data-based decisions challenging for school professionals. The purpose of this study was to examine the relationships among three existing M-CBM indices: (a) basic facts, (b) concepts/application, and (c)…
Descriptors: Curriculum Based Assessment, Mathematics Tests, Middle School Students, Mathematical Concepts
Nese, Joseph F. T.; Stevens, Joseph J.; Schulte, Ann C.; Tindal, Gerald; Elliott, Stephen N. – Journal of Special Education, 2017
Our purpose was to examine different approaches to modeling the time-varying nature of exceptionality classification. Using longitudinal data from one state's mathematics achievement test for 28,829 students in Grades 3 to 8, we describe the reclassification rate within special education and between general and special education, and compare four…
Descriptors: Classification, Achievement Gains, Special Needs Students, Mathematics Achievement
Herrera, Sarah; Zhou, Chengfu; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2017
The 2001 authorization of the No Child Left Behind Act and its standards and accountability requirements generated interest among state education agencies in Florida, Mississippi, and North Carolina, which are served by the Regional Educational Laboratory Southeast, in monitoring changes in student reading and math proficiency at the school level.…
Descriptors: Reading Achievement, Mathematics Achievement, Trend Analysis, Achievement Gap
Farley, Dan; Saven, Jessica L.; Tindal, Gerald – National Center on Assessment and Accountability for Special Education, 2013
Alternate assessments based on alternate achievement standards (AA-AAS) are designed to measure the academic achievement of students with the most significant cognitive disabilities (SWSCDs). AA-AAS present unique measurement challenges because of the inherent need for individualization in item presentation and response, combined with expectations…
Descriptors: Alternative Assessment, Academic Standards, Intellectual Disability, Accountability
Patarapichayatham, Chalie; Nese, Joseph F. T.; Sáez, Leilani – National Center on Assessment and Accountability for Special Education, 2013
The use of oral reading fluency (ORF) as a predominant measurement tool for identifying struggling readers has grown exponentially over the past 30 years. ORF growth using curriculum-based measures (CBM) has also become an important practical and empirical issue influencing the field. Although fluency scores have shown to be reliable predictors of…
Descriptors: Oral Reading, Reading Fluency, Curriculum Based Assessment, Scores