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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
Hopkins, Paul Thomas – ProQuest LLC, 2013
The purpose of this study was to determine how K-12 public school teachers perceive the use of student performance data in teacher evaluations. The proprietary, utility, feasibility, and accuracy standards created by the Joint Committee on Standards for Education Evaluation (JCSEE) served as a framework for the study. An online survey was deployed…
Descriptors: Teacher Attitudes, Public School Teachers, Data Interpretation, Teacher Surveys
Schultheis, Elizabeth H.; Kjelvik, Melissa K. – American Biology Teacher, 2015
Current educational reform calls for increased integration between science and mathematics to overcome the shortcomings in students' quantitative skills. Data Nuggets (free online resource, http://datanuggets.org) are worksheets that bring data into the classroom, repeatedly guiding students through the scientific method and making claims…
Descriptors: Inquiry, Science Process Skills, Educational Change, Statistical Analysis
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
Hantman, Irene; Bairu, Ghedam; Barwick, Annette; Smith, Bill; Mack, Bunny; Meston, Susan; Rocks, Linda; James, Brad – 2002
Collecting and using incident data are essential steps for creating safe schools. ("Incidents" are anything from criminal acts to minor problem behaviors that disrupt the orderly functioning of schools and classrooms.) With good data, it is possible to develop effective prevention and intervention plans. This handbook presents the…
Descriptors: Crime Prevention, Data Collection, Data Interpretation, Databases

Parker, Randall M. – Journal of Learning Disabilities, 1990
The article examines the concepts of power and control in research design and applies them to a review of the validity of three studies (EC 600 064-066) evaluating the effectiveness of using Irlen tinted lenses with reading-disabled persons. Internal validity, external validity, statistical conclusion validity, and construct validity are…
Descriptors: Color, Data Interpretation, Elementary Secondary Education, Evaluation Research

Schmoker, Mike – Educational Leadership, 2003
Calls for simplicity when presenting data on student achievement. Data should help teachers improve teaching and learning, and focus on specific goals such as determining how many students are succeeding in a subject and, within that subject, what are the areas of strength or weakness. (Contains 22 references.) (WFA)
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Morais, Ana; Neves, Isabel – 1991
Theories of learning and instruction usually are grounded in psychological and epistemological assumptions. However, these theories ignore the child in relation to his or her cultural and institutional context and ignore the schoolteacher from the social context that regulates the process of transmission and acquisition of knowledge and skills.…
Descriptors: Cognitive Processes, Data Interpretation, Elementary Secondary Education, Epistemology

Schagen, I. P. – Educational Studies, 1990
National Mathematics Survey briefly explains multilevel models, examining their power and flexibility as analytical tools. Provides examples of two applied models studying school and pupil variables: (1) data analysis from a National Mathematics Survey (England, Wales, Northern Ireland); and (2) data analysis of pupil attitudes using Hierarchical…
Descriptors: Data Interpretation, Elementary Secondary Education, Foreign Countries, Information Technology
Cibulka, James G.; Derlin, Roberta L. – 1992
This paper analyzes trends in education expenditures in elementary and secondary schools, especially the extent to which special education costs are responsible for the overall upward expenditure trends. It reports on the limited national data available and on a longitudinal analysis of special education costs in Milwaukee, Wisconsin, from 1982-83…
Descriptors: Data Interpretation, Disabilities, Educational Finance, Educational Trends
Creighton, Theodore B. – 2000
Data collection and analysis are frequently neglected by school leaders over the course of the decision-making process. All schools gather large amounts of information about students and teachers, but most data are used to satisfy administrative requirements rather than evaluate school improvement in a systematic fashion. Apprehension regarding…
Descriptors: Administrator Education, Data, Data Analysis, Data Collection

Bernhardt, Victoria L. – Educational Leadership, 2003
A primer for schools attempting to analyze the data they collect. Describes ways schools can get a better picture of how to improve learning by gathering, intersecting, and organizing four categories of data more efficiently: (1) demographic data; (2) student-learning data; (3) perceptions data; and (4) school-processes data. (WFA)
Descriptors: Data Analysis, Data Collection, Data Interpretation, Data Processing
Nascimento, Geraldo – 1990
Global figures that reveal the magnitude of the problem of illiteracy in the world disguise great disparities. For example, most of the illiteracy in the world is in developing countries. Therefore, it is preferable, and more appropriate in terms of numerical importance, to concentrate the analysis of illiteracy on developing countries. Such…
Descriptors: Adult Basic Education, Adult Literacy, Census Figures, Data Interpretation
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
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