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What Works Clearinghouse, 2012
This document provides guidance about how to describe studies and report their findings in a way that is clear, complete, and transparent. This document does not include information about how studies are judged against What Works Clearinghouse evidence standards. For information about What Works Clearinghouse evidence standards, please refer to…
Descriptors: Intervention, Research Reports, Educational Research, Guides
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What Works Clearinghouse, 2014
This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…
Descriptors: Educational Research, Guides, Intervention, Classification
Foy, Pierre, Ed.; Drucker, Kathleen T., Ed. – International Association for the Evaluation of Educational Achievement, 2013
Progress in International Reading Literacy Study (PIRLS) provides international comparative data about students' reading achievement after four years of primary schooling, while also measuring trends over time, monitoring curricular implementation, and identifying promising instructional practices. Conducted on a regular 5-year cycle, PIRLS has…
Descriptors: Guides, Users (Information), Reading Achievement, Best Practices
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What Works Clearinghouse, 2011
With its critical assessments of scientific evidence on the effectiveness of education programs, policies, and practices (referred to as "interventions"), and a range of products summarizing this evidence, the What Works Clearinghouse (WWC) is an important part of the Institute of Education Sciences' strategy to use rigorous and relevant…
Descriptors: Standards, Access to Information, Information Management, Guides
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Marascuilo, Leonard A.; Slaughter, Robert E. – Journal of Educational Measurement, 1981
Six statistical methods for identifying possible sources of bias in standardized test items are presented. The relationship between chi-squared methods and item-response theory methods are also discussed. (Author/BW)
Descriptors: Comparative Analysis, Latent Trait Theory, Mathematical Models, Standardized Tests
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Straw, Christine; Kaye, Mike – Higher Education Review, 1995
Seven methods for measuring and comparing value added in higher education are considered; six are index methods (all found unsatisfactory for lack of empirical support) and a seventh is proposed which calculates value added as the difference between the outcomes achieved and those predicted from national (United Kingdom) data. The advantages of a…
Descriptors: College Outcomes Assessment, Comparative Analysis, Foreign Countries, Higher Education
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Wilkinson, William M. – New Directions for Higher Education, 1979
Different kinds of financial data are needed by different levels of management and in different areas of support. Accounting principles for nonprofit organizations need to be determined. Accrual accounting principles, fund accounting, restricted and unrestricted funds, etc., are described. (MLW)
Descriptors: Accounting, Budgeting, Comparative Analysis, Educational Finance
Strauss, Jon C. – Business Officer, 1997
Presents three different, complementary statistical models for predicting faculty tenure dynamics, using data from Worcester Polytechnic Institute (Massachusetts). The difference equation model exactly describes future behavior but requires complete specification. The Markov-chain model can predict the full life-cycle of tenure from initial age…
Descriptors: Case Studies, College Administration, College Faculty, Comparative Analysis
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Hollwitz, John; Danielson, Mary Ann – Assessment & Evaluation in Higher Education, 1995
Two procedures for systematic organizational quality assessment are presented: (1) a distributional assessment to monitor individual, group, or unit performance by establishing real and maximum-feasibility parameters; and (2) a cost-assessment system based on utility analysis, to assign dollar values and benefits to quality interventions targeting…
Descriptors: Comparative Analysis, Costs, Educational Quality, Institutional Characteristics
Merz, William R. – 1980
Several methods of assessing test item bias are described, and the concept of fair use of tests is examined. A test item is biased if individuals of equal ability have different probabilities of attaining the item correct. The following seven general procedures used to examine test items for bias are summarized and discussed: (1) analysis of…
Descriptors: Comparative Analysis, Evaluation Methods, Factor Analysis, Mathematical Models
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Sullins, Walter L. – Contemporary Education, 1983
This paper comments on the impact of computers on statistical analysis and presents a concise, nontechnical overview of five statistical methods now being applied in educational research. Appropriate uses of these techniques are pointed out, along with dangers concerning misapplications. (PP)
Descriptors: Comparative Analysis, Computer Programs, Discriminant Analysis, Educational Research
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Jenny, Hans H. – New Directions for Higher Education, 1979
Financial indicators to describe and measure the condition of colleges and universities are discussed including: determining capital charges against current revenues, analyzing revenue structures, dissecting the expenditure structure, and restating current fund revenues and expenditures. (MLW)
Descriptors: Capital Outlay (for Fixed Assets), Comparative Analysis, Educational Finance, Expenditures
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Kember, David; And Others – British Journal of Educational Technology, 1992
Reports on a study which collated and compared evaluations of seven distance education courses in Hong Kong using a combination of quantitative and qualitative methods. Conclusions about tutorials, group activities, interstudent contact, telephone counseling, and video and television broadcasts are synthesized; and guidelines for formatting…
Descriptors: Comparative Analysis, Course Evaluation, Distance Education, Evaluation Criteria
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
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
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