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Showing all 9 results Save | Export
Craven, Laura M.; Trygstad, Peggy J. – Horizon Research, Inc., 2020
The 2018 NSSME+ was based on a national probability sample of schools and computer science, mathematics, and science teachers in grades K-12 in the 50 states and the District of Columbia. The sample was designed to yield national estimates of course offerings and enrollment, teacher background preparation, textbook usage, instructional techniques,…
Descriptors: Comparative Analysis, Beginning Teachers, Experienced Teachers, Mathematics Teachers
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Shaw, Stacy; Radwin, David – National Center for Education Statistics, 2014
The web tables in this report provide original and revised estimates of statistics previously published in 2007-08 National Postsecondary Student Aid Study (NPSAS:08): Student Financial Aid Estimates for 2007-08 (NCES 2009-166). The revised estimates were generated using revised weights that were updated in August 2013. NPSAS:08 data were…
Descriptors: Student Financial Aid, Tables (Data), Comparative Analysis, Statistical Data
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Broughman, Stephen P.; Swaim, Nancy L.; Hryczaniuk, Cassie A. – National Center for Education Statistics, 2011
In 1988, the National Center for Education Statistics (NCES) introduced a proposal to develop a private school data collection that would improve on the sporadic collection of private school data dating back to 1890 and improve on commercially available private school sampling frames. Since 1989, the U.S. Bureau of the Census has conducted the…
Descriptors: Private Schools, Statistical Significance, Sampling, Statistics
Kwak, Nohoon; Davenport, Ernest C., Jr.; Davison, Mark L. – 1998
The purposes of this study were to introduce the iterative purification procedure and to compare this with the two-step purification procedure, to compare false positive error rates and the power of five observed score approaches and to identify factors affecting power and false positive rates in each method. This study used 2,400 data sets that…
Descriptors: Ability, Comparative Analysis, Error of Measurement, Estimation (Mathematics)
Morrisson, Christian; Murtin, Fabrice – Centre for the Economics of Education (NJ1), 2009
Global economic transformations have never been as dramatic as in the twentieth century. Most countries have experienced radical changes in the standards of income per capita, technology, fertility, mortality, income inequality and the extent of democracy in the course of the past century. It is the goal of many disciplines--economics, history,…
Descriptors: Economic Development, Educational Attainment, Demography, Global Approach
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Glaister, P. – International Journal of Mathematical Education in Science and Technology, 2004
Two techniques for determining a straight line fit to data are compared. This article reviews two simple techniques for fitting a straight line to a set of data, namely the method of averages and the method of least squares. These methods are compared by showing the results of a simple analysis, together with a number of tests based on randomized…
Descriptors: Mathematics Instruction, Comparative Analysis, Engineering, Teaching Methods
Rentz, R. Robert; Bashaw, W. L. – 1975
This volume contains tables of item analysis results obtained by following procedures associated with the Rasch Model for those reading tests used in the Anchor Test Study. Appendix I gives the test names and their corresponding analysis code numbers. Section I (Basic Item Analyses) presents data for the item analysis of each test in a two part…
Descriptors: Comparative Analysis, Elementary Education, Equated Scores, Error of Measurement
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Kirsch, Irwin S.; And Others – 1992
A comprehensive assessment of the literacy proficiencies of Job Training Partnership Act (JTPA) and Employment Service/Unemployment Insurance (ES/UI) participants was conducted by the Department of Labor. The survey responses of a sample of 2,501 JTPA applicants and 3,277 ES/UI participants were scored, weighted, analyzed, and used to develop a…
Descriptors: Adult Literacy, Comparative Analysis, Correlation, Data Collection
Schulz, Wolfram – Online Submission, 2005
One of the consistent findings of educational research studies is the effect of the students' family socio-economic background on their learning achievement. Consequently, international comparative studies emphasis the role of socio-economic background for determining learning outcomes. In particular, PISA results have been used to describe how…
Descriptors: Measurement Techniques, Foreign Countries, Secondary School Students, Family Environment