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Inoue, Noriyuki – Mathematical Thinking and Learning: An International Journal, 2008
Studies report that students often fail to consider familiar aspects of reality in solving mathematical word problems. This study explored how different features of mathematical problems influence the way that undergraduate students employ realistic considerations in mathematical problem solving. Incorporating familiar contents in the word…
Descriptors: Undergraduate Students, Problem Solving, Word Problems (Mathematics), Mathematics Instruction
Setzer, J. Carl – GED Testing Service, 2009
The GED[R] English as a Second Language (GED ESL) Test was designed to serve as an adjunct to the GED test battery when an examinee takes either the Spanish- or French-language version of the tests. The GED ESL Test is a criterion-referenced, multiple-choice instrument that assesses the functional, English reading skills of adults whose first…
Descriptors: Language Tests, High School Equivalency Programs, Psychometrics, Reading Skills
Koedel, Cory – National Center on Performance Incentives, 2009
This paper examines whether educational production in secondary school involves joint production among teachers across subjects. In doing so, it also provides insights into the reliability of value-added modeling. Teacher value-added to reading test scores is estimated for four different teacher types: English, math, science, and social studies.…
Descriptors: Statistical Bias, Test Bias, Research Methodology, Educational Quality
Porfeli, Erik; Wang, Chuang; Audette, Robert; McColl, Ann; Algozzine, Bob – Education and Urban Society, 2009
Education professionals and policy makers have been working to "close the achievement gap" for some time. Differences in school performance for children from diverse and different family backgrounds have been at the core of past and present social, political, and education reform initiatives and practices. Previous research suggests that…
Descriptors: Urban Schools, Academic Achievement, Social Capital, Student Characteristics
Karakostas, K. X. – Journal of Educational and Behavioral Statistics, 2004
This article presents a technique that will help teachers, researchers, and other people who use the linear regression models, especially those in education and social sciences, to understand and interpret the residuals graphics better.
Descriptors: Regression (Statistics), Data Interpretation, Methods
Strasser, Nora – Journal of College Teaching & Learning, 2007
Avoiding statistical mistakes is important for educators at all levels. Basic concepts will help you to avoid making mistakes using statistics and to look at data with a critical eye. Statistical data is used at educational institutions for many purposes. It can be used to support budget requests, changes in educational philosophy, changes to…
Descriptors: Statistics, Statistical Data, Validity, Data Interpretation
Conley, Matthew D.; Colabucci, Lesley – Mid-Western Educational Researcher, 2009
In this paper, two beginning qualitative researchers describe the challenges and successes of conducting a collaborative self-study. For two academic years, the authors wrote and analyzed personal narratives related to their experiences as a lesbian and a gay man, respectively, in educational contexts. This article addresses the data analysis…
Descriptors: Qualitative Research, Figurative Language, Personal Narratives, Researchers
Painter, Kirstin; Scannapieco, Maria – Journal of Family Social Work, 2009
Disparities in health and mental health care delivered to racial and ethnic minorities became a focus of national policy following reports of the Institute of Medicine (IOM, 2002) and the Surgeon General (USDHHS, 2001). The Surgeon General (USDHHS, 2001) reported racial and ethnic minorities experience disparities in availability and quality of…
Descriptors: Health Services, African American Children, Mental Health Programs, Therapy
Valcik, Nicolas A.; Stigdon, Andrea D. – New Directions for Institutional Research, 2008
Although institutional researchers devote a great deal of time mining and using student data to fulfill mandatory federal and state reports and analyze institutional effectiveness, financial and personnel information is also necessary for such endeavors. In this article, the authors discuss the challenges that arise from extracting data from…
Descriptors: Institutional Research, Educational Finance, Barriers, Personnel Data
Raychaudhuri, Debasree – International Journal of Mathematical Education in Science and Technology, 2008
In this note we develop a framework that makes explicit the inherent dynamic structure of certain mathematical definitions by means of the four facets of context-entity-process-object. These facets and their interrelations are then used to capture and interpret specific aspects of student constructions of the concept of solution to first order…
Descriptors: Mathematics Education, Calculus, Models, Definitions
PhD Students' Work Conditions and Study Environment in University- and Industry-Based PhD Programmes
Kolmos, A.; Kofoed, L. B.; Du, X. Y. – European Journal of Engineering Education, 2008
During the last 10 years, new models of funding and training PhD students have been established in Denmark in order to integrate industry into the entire PhD education. Several programmes have been conducted where it is possible to co-finance PhD scholarships or to become an employee as an industrial PhD in a company. An important question is what…
Descriptors: Doctoral Programs, Foreign Countries, Data Analysis, Corporate Education
Mishel, Lawrence; Roy, Joydeep – Education Digest: Essential Readings Condensed for Quick Review, 2007
Conventional wisdom claims a newly discovered dropout crisis in high schools. Jay Greene, of the Manhattan Institute, and Christopher Swanson, formerly with the Urban Institute, are primarily responsible for this claim, publishing reports showing these extraordinary high dropout rates nationwide, for the states, and for many specific school…
Descriptors: High School Students, Dropouts, Graduation Rate, Dropout Rate
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
Campbell, Peter – Phi Delta Kappan, 2007
In this rejoinder to John Chubb's reply to "Edison Is the Symptom, NCLB Is the Disease," the author argues that Edison offers feel-good measures without really solving any of the problem of schools in poverty. Defending his original argument, the author cites a RAND study that questions the results Chubb claims. The study indicates the…
Descriptors: Reader Response, Academic Achievement, Educationally Disadvantaged, Data Interpretation
Peer reviewedKlauer, Karl Christoph – Psychometrika, 1989
Concepts of ordinal network representation are discussed. Notation (the type of data that can be represented) and the type of representation given are reviewed. The idea of reduced ordinal networks is explored; and the algorithm, uniqueness results, and error handling problems are presented. Examples of data analysis are included. (SLD)
Descriptors: Algorithms, Data Analysis, Data Interpretation, Graphs

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