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Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
Hardy, Ian – International Studies in Sociology of Education, 2015
This paper draws upon the sociology of numbers, particularly work by Theodore Porter, to reveal the multifarious ways in which numbers actively constitute practices in schools. Drawing upon a case study of one low-performing school in a low-performing region in the state of Queensland, Australia, and theorising into the sociology of numbers, the…
Descriptors: Numbers, Foreign Countries, Case Studies, Low Achievement
Graham, Deborah J.; Eadens, Daniel W. – Education Leadership Review of Doctoral Research, 2017
This correlation study examined relationships between special education and standardized testing variables of 100 Arizona secondary school districts with Native American populations, and the archival records for postsecondary outcomes between 2012 and 2014 of students with disabilities, using archival data collected by the Arizona Department of…
Descriptors: Disabilities, Correlation, Special Education, Standardized Tests
Zahner, Doris; Steedle, Jeffrey T. – Council for Aid to Education, 2015
Some universities administer standardized tests to estimate school effects on student learning. To that end, many of those institutions choose to gather cross-sectional data (freshmen and seniors in the same academic year) rather than longitudinal data. The effects of this decision on institutional assessment results are generally unknown. The…
Descriptors: Longitudinal Studies, Case Studies, Postsecondary Education, Comparative Analysis
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
Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
Faria, Ann-Marie; Greenberg, Ariela; Meakin, John; Bichay, Krystal; Heppen, Jessica – Society for Research on Educational Effectiveness, 2014
Educators have long used test scores to make educational decisions, but only within the last decade has the availability of data been systematic (Abelman, Elmore, Even, Kenyon, & Marshall, 1999). In recent years, interest has spiked in data-driven decision making in education (Marsh, Pane, & Hamilton, 2006). With technological advances and…
Descriptors: Data Analysis, Academic Achievement, Urban Schools, Correlation
Thompson, Carla J. – Journal of Educational Research and Practice, 2012
Improving student performance for high-need student populations by improving the use of data in decision-making for early reading intervention programs in northwest Florida is the focus of this research to practice effort. The study is conceptually based on using a relational-feedback intervention (RFI) database model in early learning…
Descriptors: Early Intervention, Reading Instruction, Reading Programs, Data Collection
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2012
The 2011 edition of the "Digest of Education Statistics" is the 47th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information covering the broad field…
Descriptors: Educational Research, Data Collection, Data Analysis, Error Patterns
DeVito, Pasquale J. – 1976
The purpose of this paper is to outline and explain the evaluation system used by the Rhode Island Department of Education to measure the effectiveness of compensatory education programs. An exposition of how relevant background, program and financial information is collected is presented. In addition, a delineation is made of the methods…
Descriptors: Achievement Tests, Compensatory Education, Data Collection, Program Effectiveness
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
Dees, James W.; Dufilho, L. Paul – 1975
This report summarizes the techniques used in gathering and maintaining a data file on most of the Army aviator trainees who have been through the Officer/Warrant Officer Rotary Wing Aviator Course and the Warrant Officer Candidate Course during the period 1 July 1968-31 December 1969. Specific regression analyses dealing with the prediction of…
Descriptors: Academic Achievement, Data Collection, Demography, Failure
Gibboney (Richard A.) Associates, Inc., Kensington, MD. – 1977
This volume is the technical appendixes to the evaluation study (ED 142 795) of the Career Intern Program (CIP), a program effort to help urban youth get a basic education and further training or a paying job. These appendixes include descriptions of the evaluation design, study sample, statistical treatment of the data, and measures used,…
Descriptors: Career Development, Data Collection, Evaluation Methods, Field Interviews
Horst, Donald P.; And Others – 1975
Measuring cognitive achievement gains in project evaluation is dealt with. This guide provides those concerned with project evaluation with the basic tools for conducting technically sound, interpretable evaluation studies. Exotic designs are avoided and five basic models which appear feasible to implement in real-world settings are focused on.…
Descriptors: Academic Achievement, Achievement Gains, Cognitive Development, Data Analysis
Bianchini, John C.; Loret, Peter G. – 1974
The Anchor Test Study provides a method for translating a pupil's score on any one of eight widely used standardized reading tests for Grades 4, 5, and 6 to a corresponding score on any of the other seven tests, as well as furnishing new nationally representative norms for each of the eight tests. In addition, the Study presents new estimates of…
Descriptors: Administration, Comparative Analysis, Correlation, Data Collection
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