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Dwyer, Theodore J. – ProQuest LLC, 2016
There is a great deal of concern regarding teacher impacts on student achievement being used as a substantial portion of a teacher's performance evaluation. This study investigated the degree of concordance and discordance between mathematics teacher ranking using value tables and covariate regression, which have both been used as measures for…
Descriptors: Value Added Models, Teacher Influence, Academic Achievement, Performance Based Assessment
Tindal, Gerald; Nese, Joseph F. T.; Stevens, Joseph J. – Educational Assessment, 2017
For the past decade, the accountability model associated with No Child Left Behind (NCLB) emphasized proficiency on end of year tests; with Every Student Succeeds Act (ESSA) the emphasis on proficiency within statewide testing programs, though now integrated with other measures of student learning, nevertheless remains a primary metric for…
Descriptors: Testing Programs, Middle School Students, Models, State Standards
Martínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
Xiang, Yun; Hauser, Carl – Northwest Evaluation Association, 2010
The purpose of this paper is to offer an analytic perspective to policy makers and educational practitioners regarding how to use longitudinal achievement data to evaluate schools. The authors further discuss the potential practical applications of their models for superintendents, researchers, and policy makers. The premise of the study is that…
Descriptors: Academic Achievement, Comparative Analysis, Policy Formation, Data Analysis
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
Harris, Chester W.; And Others – 1977
The implications of a mathematical model of test scores are explored where the data are limited to a random sample of items without replacement from an indefinitely large population or item domain in which items are scored either zero or one. The purpose is to obtain an unbiased estimate of a student's proportion of items correct in the item…
Descriptors: Academic Achievement, Achievement Tests, Annotated Bibliographies, Bibliographies
Classroom Observation Data: Is It Valid? Is It Generalizable? A Compendium of Methodological Papers.
Borich, Gary; And Others – 1977
The issues discussed in these four papers concern the validity and generalizability of classroom observation instruments. These issues have been studied and are reported here in an attempt to better define the limits to which classroom observation instruments can be used in researching relationships between teacher behavior and student outcome.…
Descriptors: Academic Achievement, Classroom Observation Techniques, Classroom Research, Elementary Education
Werts, Charles E.; Linn, Robert L. – 1975
Forming a sequence covering the various aspects of the simplex model, four articles are presented here under the following titles: "A Simplex Model for Analyzing Academic Growth", "Analyzing Ratings With Correlated Intrajudge Measurement Errors", "The Correlation of States With Gain", and "The Reliability of…
Descriptors: Academic Achievement, Achievement Gains, Analysis of Covariance, College Students