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National Science Foundation, 2018
"Science and Engineering Indicators" ("Indicators") is a biennial congressionally mandated report that provides high-quality quantitative information on the U.S. and international science and engineering enterprise. The report employs a variety of presentation styles--such as narrative text, data tables and figures--to make the…
Descriptors: Science Education, Engineering Education, Educational Indicators, Information Sources
Wang, Jianjun – 1997
Hierarchical data analyses in different discipline areas are reviewed in this article to compare statistical applications between the Hierarchical Linear Model (HLM) software and the Statistical Analysis System (SAS) MIXED procedure. Similar features of the two software programs are illustrated through reconfirmation of an HLM example using the…
Descriptors: Computer Software, Data Analysis, Educational Research, Research Methodology
Peer reviewed Peer reviewed
Aiken, Lewis R. – Educational and Psychological Measurement, 1985
Three numerical coefficients for analyzing the validity and reliability of ratings are described. Each coefficient is computed as the ratio of an obtained to a maximum sum of differences in ratings. The coefficients are also applicable to the item analysis, agreement analysis, and cluster or factor analysis of rating-scale data. (Author/BW)
Descriptors: Computer Software, Data Analysis, Factor Analysis, Item Analysis
National Center for Education Statistics (ED), Washington, DC. – 1998
This CD-ROM presents datasets from the National Postsecondary Student Aid Study, the National Study of Postsecondary Faculty, the High School and Beyond Survey (1980-1992), the Beginning Postsecondary Students "Second Follow-up," the Baccalaureate and Beyond Survey, the National Longitudinal Survey of 1972, the National Education…
Descriptors: College Faculty, College Graduates, College Students, Computer Software