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Direct linkCain, Meghan K.; Zhang, Zhiyong; Yuan, Ke-Hai – Grantee Submission, 2017
Nonnormality of univariate data has been extensively examined previously (Blanca et al., 2013; Micceri, 1989). However, less is known of the potential nonnormality of multivariate data although multivariate analysis is commonly used in psychological and educational research. Using univariate and multivariate skewness and kurtosis as measures of…
Descriptors: Multivariate Analysis, Probability, Statistical Distributions, Psychological Studies
García, Emma; Weiss, Elaine – Economic Policy Institute, 2015
Understanding disparities in school readiness among America's children when they begin kindergarten is critically important, now more than ever. In today's 21st century global economy, it is expected that the great majority of children will complete high school ready to enter college or begin a career, and assume their civic responsibilities. This…
Descriptors: Kindergarten, Equal Education, Early Childhood Education, Social Influences
Lehming, Rolf F.; Alt, Martha Naomi; Chen, Xianglei; Hall, Leslie; Burton, Lawrence; Burrelli, Joan S.; Kannankutty, Nirmala; Proudfoot, Steven; Regets, Mark C.; Boroush, Mark; Moris, Francisco A.; Wolfe, Raymond M.; Britt, Ronda; Christovich, Leslie; Hill, Derek; Falkenheim, Jaquelina C.; Dunnigan, Paula C. – National Science Foundation, 2010
"Science and Engineering Indicators" (SEI) is first and foremost a volume of record comprising the major high-quality quantitative data on the U.S. and international science and engineering enterprise. SEI is factual and policy neutral. It does not offer policy options, and it does not make policy recommendations. SEI employs a variety…
Descriptors: Statistical Data, Engineering, Sciences, Elementary Secondary Education
Stapleton, Laura M.; Kang, Yoonjeong – Sociological Methods & Research, 2018
This research empirically evaluates data sets from the National Center for Education Statistics (NCES) for design effects of ignoring the sampling design in weighted two-level analyses. Currently, researchers may ignore the sampling design beyond the levels that they model which might result in incorrect inferences regarding hypotheses due to…
Descriptors: Probability, Hierarchical Linear Modeling, Sampling, Inferences
Jung, Eunjoo; Zhang, Yue; Chiang, Jason – International Journal of Education in Mathematics, Science and Technology, 2019
This study investigates kindergarten children's mathematics learning with a focus on the role of teachers' mathematics education and readiness beliefs, and home learning environment. Using structural equation modeling to estimate the individual differences in early mathematics learning, data from 5,845 kindergarteners was evaluated. Findings show…
Descriptors: Kindergarten, Preschool Children, Preschool Teachers, School Readiness
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2013
The 2012 edition of the "Digest of Education Statistics" is the 48th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information
covering the broad field…
Descriptors: Early Childhood Education, Elementary Secondary Education, Higher Education, Adult Education
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2012
The 2011 edition of the "Digest of Education Statistics" is the 47th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information
covering the broad field…
Descriptors: Elementary Education, Secondary Education, Elementary Secondary Education, Higher Education
