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McElroy, Robert G. – 1987
This handbook is intended to help government, university, private sector, and other users become better acquainted with the concepts and data underlying the Department of Agriculture's statistical series. The introduction reviews what various pieces of federal legislation say about the computation of agricultural production costs by the U.S.…
Descriptors: Agricultural Production, Annotated Bibliographies, Budgets, Cost Effectiveness
Sirotnik, Kenneth A.; And Others – 1985
This paper presents a study of the contrast of social and clinical perspectives on the selection and use of information by school staff, including: (1) an outline of the context and activities of the study; (2) a definition and discussion of the basic distinction between social and clinical perspectives; (3) an examination of case material…
Descriptors: Academic Achievement, Computer Oriented Programs, Data Interpretation, Databases
Smith, Richard Alan – Computing Teacher, 1988
Discusses how to examine and evaluate claims of improved academic performance in advertisements for computer-assisted instruction. Highlights include the proper use of comparison groups; types of statistical analyses; the Hawthorne effect; the interpretation of scores; interpreting graphic presentations; tests of significance; and cost…
Descriptors: Academic Achievement, Achievement Gains, Advertising, Comparative Analysis
Bernhardt, Victoria L. – Eye on Education, 2005
This book helps you make sense of the data your school collects, including state student achievement results as well as other qualitative and quantitative data. Easy-to-use templates, tools, and examples are available on the accompanying CD-ROM. High stakes accountability requires that you develop your understanding of who your students are and…
Descriptors: Data Analysis, Accountability, Academic Achievement, High Schools
Wong, Ovid K.; Lam, Ming-Long – Rowman & Littlefield Education, 2006
Education reforms such as "A Nation at Risk" and "Goals 2000" have come and gone. However, we can be confident that the goal of student improvement shall not pass if the core mission is student learning. The true mission of learning has prompted educators to ponder the following questions: How do we need each student to behave?…
Descriptors: Data Analysis, Student Improvement, Educational Improvement, Educational Change
McEwen, Nelly – Online Submission, 2006
Improving Schools--Investing in Our Future provides a foundation for improving student learning and performance, and improving aspects of schooling. Chapter (1) provides information about Alberta's well--established K-12 education system. Alberta's school-aged population is becoming more diverse with growing numbers of Aboriginal and immigrant…
Descriptors: Academic Achievement, Cooperation, Data Collection, Data Analysis
Mariotti, Maria Alessandra; Laborde, Colette; Falcade, Rossana – International Group for the Psychology of Mathematics Education, 2003
Assuming that dynamic features of Dynamic Geometry Software may provide a basic representation of both variation and functional dependency, and taking Vygotskian perspective of semiotic mediation, a teaching experiment has been designed with the aim of introducing pupils to the idea of function. First data coming from the observations in Italian…
Descriptors: Mathematics, Foreign Countries, Mathematics Instruction, Experiments
Hiroto, Nagato – 1997
Designed for language teachers who find reading statistical research difficult but necessary, this article focuses on the minimal knowledge needed about statistical techniques for interpreting research findings. It first examines the statistical reasoning underlying quantitative, empirical studies, including normal distribution, standard…
Descriptors: Classroom Research, Classroom Techniques, Comparative Analysis, Data Interpretation
Levesque, Karen; Bradby, Denise; Rossi, Kristi; Teitelbaum, Peter – 1998
This book discusses how to use everyday data to create strategies for educational improvement in schools. It provides users with a process for building a performance indicator system, identifying the most important aspects of a school's innovational efforts and traps to avoid that may lead to misinterpretation of data. The introduction identifies…
Descriptors: Data Analysis, Data Interpretation, Educational Assessment, Educational Improvement
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
Laanan, Frankie Santos; Sanchez, Jorge R. – New Directions for Community Colleges, 1996
Examines the discussion surrounding the establishment of a reliable transfer rate measure by outlining the major arguments advanced by scholars and researchers in the field. Discusses traditional models of calculating transfer rates, their strengths and weaknesses, and introduces nontraditional transfer rate models. (24 citations) (AJL)
Descriptors: College Transfer Students, Community Colleges, Data Interpretation, Evaluation Methods
Spicer, Scot L.; Armstrong, William B. – New Directions for Community Colleges, 1996
Discusses the difficulty in obtaining transfer rates due to the disagreement over definitions of "transfer." Compares different options to show how manipulating the pool of eligible transfer students influences transfer rates. Describes transfer-ready models for calculating transfer eligibility rate, as well as the Student Right-to-Know formula.…
Descriptors: College Transfer Students, Community Colleges, Data Interpretation, Evaluation Methods
Peer reviewedSlavin, Robert E. – Educational Leadership, 2003
Expresses the importance of scientifically based research in education reform and explains how to judge the validity of educational research. Describes control groups, randomized and matched experiments, statistical educational significance, sample size, and the difference between scientifically based and rigorously evaluated research. (Contains…
Descriptors: Control Groups, Data Interpretation, Educational Research, Elementary Secondary Education
Peer reviewedUnderwood, Jean; Underwood, Geoffrey – British Journal of Educational Psychology, 1987
Discussion of the use of computer-based information retrieval systems in schools focuses on three paper and pencil experiments conducted in the United Kingdom that were designed to investigate how 9- to 11-year-olds organized and retrieved information from four organizational structures: lists, hierarchies, networks, and tables. (18 references)…
Descriptors: Analysis of Variance, Cognitive Processes, Computer Assisted Instruction, Correlation
Peer reviewedNorwood, Janet L. – Journal of Economic Education, 1994
Asserts that policymakers and the general public should be well informed about economic and social issues. Contends that a statistical system in a democracy has a heavy responsibility to ensure that the data represent fact, not opinion. Discusses changes made in the Consumer Price Index to prevent it from becoming politicized. (CFR)
Descriptors: Citizen Participation, Cost Indexes, Data Interpretation, Databases

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