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Hopstock, Paul J.; Pelczar, Marisa P. – National Center for Education Statistics, 2011
This technical report and user's guide is designed to provide researchers with an overview of the design and implementation of the 2009 Program for International Student Assessment (PISA), as well as with information on how to access the PISA 2009 data. This information is meant to supplement that presented in Organization for Economic Cooperation…
Descriptors: Parent Materials, Academic Achievement, Measures (Individuals), Program Effectiveness
Carlson, James E.; Spray, Judith A. – 1986
This paper discussed methods currently under study for use with multiple-response data. Besides using Bonferroni inequality methods to control type one error rate over a set of inferences involving multiple response data, a recently proposed methodology of plotting the p-values resulting from multiple significance tests was explored. Proficiency…
Descriptors: Cutting Scores, Data Analysis, Difficulty Level, Error of Measurement
Peer reviewedScollay, Susan J.; Everson, Susan Toft – Urban Review, 1985
Discusses the use of standardized achievement scores to measure the quality of practice-oriented school improvement activities in school districts. Focuses on four areas of concern: the multiple functions of schooling; documentation and data collection; real world complexities; and ethics. Recommends that cautions be taken against exclusive…
Descriptors: Academic Achievement, Achievement Tests, Data Interpretation, Educational Improvement
Peer reviewedEthington, Corinna A. – Journal for Research in Mathematics Education, 1990
Investigates patterns of sex differences for responses to problems across the countries involved in the Second International Mathematics Study. Reports no substantial gender effects on any of the content areas using the median polishing method. (YP)
Descriptors: Cross Cultural Studies, Data Interpretation, Foreign Countries, Grade 8
PDF pending restorationReckase, Mark D. – 1986
The work presented in this paper defined conceptually the concepts of multidimensional discrimination and information, derived mathematical expressions for the concepts for a particular multidimensional item response theory (IRT) model, and applied the concepts to actual test data. Multidimensional discrimination was defined as a function of the…
Descriptors: College Entrance Examinations, Difficulty Level, Discriminant Analysis, Item Analysis
Day, Roger P.; And Others – 1987
A quasi-experimental design with two experimental groups and one control group was used to evaluate the use of two books in the Quantitative Literacy Series, "Exploring Data" and "Exploring Probability." Group X teachers were those who had attended a workshop on the use of the materials and were using the materials during the…
Descriptors: Data Collection, Experimental Curriculum, Inservice Teacher Education, Mathematics Curriculum
Peer reviewedBrown, Catherine A.; And Others – Mathematics Teacher, 1988
Suggests that secondary school students seem to have reasonably good procedural knowledge in areas of mathematics as rational numbers, probability, measurement, and data organization and interpretation. It appears, however, that students are lacking the conceptual knowledge enabling them to successfully do the assessment items on applications,…
Descriptors: Abstract Reasoning, Data Analysis, Educational Assessment, Mathematical Applications
Reckase, Mark D.; Ackerman, Terry A. – 1986
This paper demonstrates the relationship between the concept of unidimensionality and direction of an item in a multidimensional space. The basic premise is that if items that measure in the same direction are combined to form a test, that test will meet the item response theory requirements of unidimensionality. This will be true even if the…
Descriptors: Achievement Tests, College Entrance Examinations, Estimation (Mathematics), Goodness of Fit


