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Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education
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
Minelli, Rachel M. – ProQuest LLC, 2012
This dissertation reports the results of three studies and a pilot study. The first study was a Monte Carlo validation study that examined the accuracy of a new visual inspection method, the semi-interquartile range method. Results of the study indicated that this method had lower levels of power than a previously validated method, the…
Descriptors: Educational Assessment, Student Evaluation, Evaluation Methods, Preservice Teachers

Taylor, Rosemarye T.; Gordon, William R., II – ERS Spectrum, 2011
A high school principal and faculty celebrated after hearing that their students in each of the quartiles had improved in both reading and mathematics on the state accountability assessment. Because of the percent of increases in achievement levels on the test, the Florida Department of Education awarded the school an A for 2011. Shortly…
Descriptors: Test Results, Federal Legislation, Educational Improvement, Federal Programs
Cunningham, Alisa – Change: The Magazine of Higher Learning, 2007
What people know about higher education may depend on which data they look at and how they examine them. Responsible analysts should present a full picture of their sources of data and the limitations of those sources, restricting their conclusions to those that the data genuinely warrant. When new research conflicts with previous results, enough…
Descriptors: Educational Assessment, Higher Education, Data Analysis, Context Effect
Beaton, Albert E.; Johnson, Eugene G. – 1990
When the Educational Testing Service became the administrator of the National Assessment of Educational Progress (NAEP) in 1983, it introduced scales based on item response theory (IRT) as a way of presenting results of the assessment to the general public. Some properties of the scales and their uses are discussed. Initial attempts at presenting…
Descriptors: Academic Achievement, Data Interpretation, Educational Assessment, Elementary Secondary Education
Wenzel, Stacy; Nagaoka, Jenny; Morris, Loretta; Billings, Sabrina; Fendt, Carol – Consortium on Chicago School Research, 2002
In March 1996, the Consortium on Chicago School Research (CCSR) proposed to evaluate the Chicago Annenberg Challenge's (CAC) newly funded reform efforts in the Chicago public schools. The evaluation aimed to understand how schools involved in CAC efforts developed as organizations and, in turn, how these developments benefited students. The study…
Descriptors: Public Schools, Research Projects, Standardized Tests, Academic Achievement
Creighton, Theodore B. – Corwin Press, 2006
Since the first edition of "Schools and Data", the No Child Left Behind Act has swept the country, and data-based decision making is no longer an option for educators. Today's educational climate makes it imperative for all schools to collect data and use statistical analysis to help create clear goals and recognize strategies for…
Descriptors: Federal Legislation, Program Evaluation, Educational Technology, Decision Making
Beaton, Albert E. – 1987
In 1982, the Educational Testing Service (ETS) proposed to implement a new, complex design for the National Assessment of Educational Progress (NAEP). The major features of this design are described in "A New Design for a New Era" (Messick, Beaton, and Lord, 1983). The purpose of this document is to describe the actual implementation of…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Barone, John L.; And Others – 1986
This document is the users' guide for Version 3.1 of the Public-Use data tapes compiled by the National Assessment of Educational Progress (NAEP), 1983-84. The Public-Use tapes are produced to allow outside researchers access to the NAEP data. The tapes accompanying this guide contain data assessing student achievement in reading and writing at…
Descriptors: Academic Achievement, Computer Storage Devices, Data Analysis, Data Collection
Johnson, Eugene G.; And Others – 1987
This document is the users' guide for Version 1.0 of the Public-Use data tapes compiled by the National Assessment of Educational Progress (NAEP), 1985-86. The Public-Use tapes are produced to allow outside researchers access to the NAEP data. The tapes accompanying this guide, one for grade 3/age 9, one for grade 7/age 13, and one for grade…
Descriptors: Academic Achievement, Computer Software, Computer Storage Devices, Data Analysis
Harlen, Wynne – 1994
This paper gives an overview of the methods of moderation, or quality assurance and quality control, as they may be more widely known, that are used to enhance the quality of student assessment. The discussion is based on the educational systems of the United Kingdom but is applicable to assessment in other countries. Quality in assessment is seen…
Descriptors: Accreditation (Institutions), Criteria, Data Collection, Data Interpretation