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Kautz, Tim; Feeney, Kathleen; Chiang, Hanley; Lauffer, Sarah; Bartlett, Maria; Tilley, Charles – Regional Educational Laboratory Mid-Atlantic, 2021
The District of Columbia Public Schools (DCPS) has prioritized efforts to support students' social and emotional learning (SEL) competencies, such as perseverance and social awareness. To measure students' SEL competencies and the school experiences that promote SEL competencies (school climate), DCPS began administering annual surveys to…
Descriptors: Social Emotional Learning, Educational Environment, Student Surveys, Teacher Surveys
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
These are the appendices for "Transitioning to College and Work. Part 2: A Study of Potential Enrollment Indicators," which examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Alonzo, Julie; Anderson, Daniel – Behavioral Research and Teaching, 2018
This technical report is an addendum to a study we initially reported on in 2014 (Wray, Lai, Saez, Alonzo, & Tindal, 2014). In response to a request for additional analyses, in particular reporting confidence intervals around the results, we re-analyzed the data from the Wray et al study. This supplementary report presents the results of the…
Descriptors: Curriculum Based Assessment, Response to Intervention, Kindergarten, Grade 1
Truckenmiller, Adrea J.; Petscher, Yaacov; Gaughan, Linda; Dwyer, Ted – Regional Educational Laboratory Southeast, 2016
District and state education leaders frequently use screening assessments to identify students who are at risk of performing poorly on end-of-year achievement tests. This study examines the use of a universal screening assessment of reading skills for early identification of students at risk of low achievement on nationally normed tests of reading…
Descriptors: Prediction, Predictive Validity, Predictor Variables, Mathematics Achievement
McMillen, Brad – Wake County Public School System, 2012
This analysis was conducted to examine the relationship between Wake Count Public Schools' students' performance on mid-year benchmark assessments and End-of-Grade (EOG) tests in both reading and math in grades 3-5 in school year 2010-11. Strong positive correlations were found between the mid-year benchmark assessment and EOG test scores for each…
Descriptors: Benchmarking, Formative Evaluation, Summative Evaluation, Grade 3
Anderson, Daniel; Lai, Cheng-Fei; Nese, Joseph F. T.; Park, Bitnara Jasmine; Saez, Leilani; Jamgochian, Elisa; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2010
In the following technical report, we present evidence of the technical adequacy of the easyCBM[R] math measures in grades K-2. In addition to reliability information, we present criterion-related validity evidence, both concurrent and predictive, and construct validity evidence. The results represent data gathered throughout the 2009/2010 school…
Descriptors: Curriculum Based Assessment, Mathematics Tests, Test Reliability, Test Validity
Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
easyCBM[R] is an online benchmark and progress monitoring assessment system designed for use within a response to intervention (RTI) framework. Part of the purpose of easyCBM[R] is to help educators identify students who may be at risk for academic failure. Often, students deemed at risk are those who would be predicted to not pass the state test.…
Descriptors: Reading Tests, Curriculum Based Assessment, Student Evaluation, Formative Evaluation
Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
easyCBM[R] is an online benchmark and progress monitoring assessment system designed for use within a response to intervention (RTI) framework. Part of the purpose of easyCBM[R] is to help educators identify students who may be at risk for academic failure. Often, students deemed at risk are those who would be predicted to not pass the state test.…
Descriptors: Curriculum Based Assessment, Reading Tests, Predictive Validity, Formative Evaluation
Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2010
In this technical report, we present the results of a study examining the relation between the math measures available on the easyCBM[R] online benchmark and progress monitoring assessment system and the Oregon statewide assessment of mathematics. Designed for use within a response to intervention (RTI) framework, easyCBM[R] is intended to help…
Descriptors: Curriculum Based Assessment, Mathematics Tests, Formative Evaluation, Student Evaluation
Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2010
easyCBM[R] is an online benchmark and progress monitoring assessment system designed for use within a response to intervention framework. Educators using easyCBM[R] are often interested in using the results to predict students' state test performance. In the following technical document, we report diagnostic efficiency statistics using a sample…
Descriptors: Efficiency, Curriculum Based Assessment, Mathematics Tests, Formative Evaluation
Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2010
easyCBM[R] is an online benchmark and progress monitoring assessment system designed for use within a response to intervention (RTI) framework. Part of the purpose of easyCBM[R] is to help educators identify students who may be at risk for failure. Often, students deemed at-risk are those who would be predicted to not pass the state test. Previous…
Descriptors: Curriculum Based Assessment, Mathematics Tests, Formative Evaluation, Student Evaluation
Tindal, Gerald; Nese, Joseph F.; Alonzo, Julie – Behavioral Research and Teaching, 2009
In this technical report, data are presented on the predictive and concurrent relation between various student demographic variables (gender, race/ethnicity, special education status, Title 1 status, English language learning status, and economic disadvantage) and three reading easyCBMs (passage reading fluency, vocabulary, and multiple-choice…
Descriptors: Evidence, Reading Fluency, Academic Achievement, Research Reports