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Pearl, Cynthia E.; Vasquez, Eleazar, III.; Marino, Matthew T.; Wienke, Wilfred; Donehower, Claire; Gourwitz, Jillian; Rosenberg, Michael S.; Duerr, Sunny R. – Teacher Education and Special Education, 2018
The purpose of this study was to provide content validation for quality indicators included in an observation instrument developed to evaluate classrooms serving students with autism spectrum disorders (ASD). A panel of 103 subject-matter experts consisting of a mixture of field personnel (n = 64; 59 classroom teachers, five school administrators)…
Descriptors: Content Validity, Pervasive Developmental Disorders, Autism, Inclusion
McGowan, Veronica – International Journal of Education and Development using Information and Communication Technology, 2016
Institutional report cards are increasingly being used by higher educational institutions to present academic outcomes to external audiences of prospective students and parents, as well as program and institutional evaluators. While some prospective students are served by national transparency measures most users mine information from the…
Descriptors: Institutional Evaluation, Educational Indicators, Accountability, Higher Education
Martínez, José Felipe; Schweig, Jonathan; Goldschmidt, Pete – Educational Evaluation and Policy Analysis, 2016
A key question facing teacher evaluation systems is how to combine multiple measures of complex constructs into composite indicators of performance. We use data from the Measures of Effective Teaching (MET) study to investigate the measurement properties of composite indicators obtained under various conjunctive, disjunctive (or complementary),…
Descriptors: Teacher Evaluation, Outcome Measures, Evaluation Methods, Educational Policy
Richards, Andrew – FORUM: for promoting 3-19 comprehensive education, 2015
Two quantitative measures of school performance are currently used, the average points score (APS) at Key Stage 2 and value-added (VA), which measures the rate of academic improvement between Key Stage 1 and 2. These figures are used by parents and the Office for Standards in Education to make judgements and comparisons. However, simple…
Descriptors: Statistical Analysis, Academic Achievement, Achievement Gains, Correlation
Adams, Curt M.; Forsyth, Patrick B.; Ware, Jordan; Mwavita, Mwarumba; Barnes, Laura L.; Khojasteb, Jam – Education Policy Analysis Archives, 2016
Oklahoma is one of 16 states electing to use an A-F letter grade as an indicator of school quality. On the surface, letter grades are an attractive policy instrument for school improvement; they are seemingly clear, simple, and easy to interpret. Evidence, however, on the use of letter grades as an instrument to rank and improve schools is scant…
Descriptors: Grading, Grades (Scholastic), Educational Quality, Educational Indicators
Kaminski, Ruth A.; Abbott, Mary; Bravo Aguayo, Katherine; Latimer, Rachael; Good, Roland H., III. – Topics in Early Childhood Special Education, 2014
Assessment is at the center of a decision-making model within a Response to Intervention (RTI) framework. Assessments that can be used for universal screening and progress monitoring in early childhood RTI models are needed that are both psychometrically sound and appropriate to meet developmental needs of young children. The Preschool Early…
Descriptors: Preschool Evaluation, Educational Indicators, Emergent Literacy, Benchmarking
Northrop, Laura; Kelly, Sean – Urban Education, 2018
This study investigates whether adequate yearly progress (AYP) status, locale, and sector--common variables used to judge the quality of schools--accurately signal true differences in instructional practices in high school mathematics and science. Using data from the High School Longitudinal Study (HSLS), we find the school-to-school variation in…
Descriptors: Instructional Effectiveness, Intermode Differences, Federal Programs, Educational Indicators
Choi, Kilchan; Goldschmidt, Pete – Asia Pacific Education Review, 2012
Value-added models and growth-based accountability aim to evaluate school's performance based on student growth in learning. The current focus is on linking the results from value-added models to the ones from growth-based accountability systems including Adequate Yearly Progress decisions mandated by No Child Left Behind. We present a new…
Descriptors: Statistical Analysis, Models, Probability, Longitudinal Studies
Beltekin, Nurettin – Eurasian Journal of Educational Research, 2016
Problem Statement: Historically, Turkey is an immigrant country. It has experienced various migration waves from Asia, Awrupa and Africa. Recently, Turkey has confronted a huge wave of migration. Turkey tries to meet many needs besides the educational needs of refugees, but there is not enough study on refugees in the field of educational sciences…
Descriptors: Refugees, Educational Attainment, Standards, Access to Education
Rutkowski, David; Rutkowski, Leslie – Research in Comparative and International Education, 2013
As part of its flagship educational study--the Programme for International Student Assessment (PISA)--the Organisation for Economic Co-operation and Development (OECD) has undertaken extensive work to create an internationally relevant composite indicator aimed at measuring socioeconomic background. However, the degree to which a single measure of…
Descriptors: Socioeconomic Background, Foreign Countries, Student Evaluation, Academic Achievement
University of Chicago Consortium on Chicago School Research, 2014
Districts now have access to a wealth of new information that can help target students with appropriate supports and bring focus and coherence to college readiness efforts. However, the abundance of data has brought its own challenges. Schools and school systems are often overwhelmed with the amount of data available. The capacity of districts to…
Descriptors: College Readiness, Educational Indicators, College Preparation, School Districts
Roane, Warren – Online Submission, 2010
The Texas Projection Measure (TPM) has grown out of the state's need to meet the requirements of No Child Left Behind (NCLB). An examination of the state's method of predicting 8th grade mathematics scores reveals that several factors have been ignored in the process of developing the model, including assumptions in its underlying statistical…
Descriptors: Federal Legislation, Statistical Analysis, Grade 8, Predictive Measurement
Cox, G. W.; Hughes, W. E., Jr.; Etzkorn, L. H.; Weisskopf, M. E. – IEEE Transactions on Education, 2009
This paper presents the results of an analysis of indicators that can be used to predict whether a student will succeed in a Computer Science Ph.D. program. The analysis was conducted by studying the records of 75 students who have been in the Computer Science Ph.D. program of the University of Alabama in Huntsville. Seventy-seven variables were…
Descriptors: Case Studies, Prediction, Computer Science Education, Doctoral Degrees
Camilli, Gregory – Education and the Public Interest Center, 2009
According to a new study of Milwaukee public schools, student achievement has benefited from voucher-based school competition. A novel method, using geocoding, was proposed for measuring the degree of competition within the city of Milwaukee and, in turn, for determining whether such competition has increased or decreased the achievement of public…
Descriptors: Public Schools, School Choice, Academic Achievement, Competition
Nichols, Sharon L.; Berliner, David C. – Harvard Education Press, 2007
Drawing on their extensive research, Nichols and Berliner document and categorize the ways that high-stakes testing threatens the purposes and ideals of the American education system. For more than a decade, the debate over high-stakes testing has dominated the field of education. This passionate and provocative book provides a fresh perspective…
Descriptors: High Stakes Tests, Social Influences, Scores, Test Bias