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Marks, Gary N. – British Journal of Sociology of Education, 2021
Recently in this journal, Sciffer, Perry, and McConney (2020) argued that school socioeconomic-background (SES) compositional effects are important for both research and policy. In response, this commentary argues that realistic school SES effects can only be identified in properly specified models. Otherwise, the estimated school effects are very…
Descriptors: Socioeconomic Status, School Demography, Academic Achievement, Institutional Characteristics
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
Raudenbush, Stephen – Carnegie Foundation for the Advancement of Teaching, 2013
This brief considers the problem of using value-added scores to compare teachers who work in different schools. The author focuses on whether such comparisons can be regarded as fair, or, in statistical language, "unbiased." An unbiased measure does not systematically favor teachers because of the backgrounds of the students they are…
Descriptors: Educational Research, Achievement Gains, Teacher Effectiveness, Comparative Analysis
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Cheng, Soh Kay – European Journal of Higher Education, 2011
Notwithstanding criticisms and discussions on methodological grounds, much attention has been and still will be paid to university rankings for various reasons. The present paper uses published information of the 10 top-ranking universities of the world and demonstrates the problem of spurious precision. In view of the problem of measurement error…
Descriptors: Institutional Characteristics, Reputation, Institutional Evaluation, Error of Measurement
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National Center for Education Statistics, 2015
In 2011-12, graduate students received a total of $51.7 billion in federal loans and grants, institutional grants, employer support, and financial aid from other sources. In 2007-08, this figure was $36.7 billion (College Board 2008, 2012). The data presented in these Web Tables were collected through five administrations of the National…
Descriptors: Trend Analysis, Graduate Students, Federal Aid, Student Financial Aid
Horng, Eileen Lai; Klasik, Daniel; Loeb, Susanna – National Center for Analysis of Longitudinal Data in Education Research, 2009
School principals have complex jobs. To better understand the work lives of principals, this study uses observational time-use data for all high school principals in Miami-Dade County Public Schools. This paper examines the relationship between the time principals spent on different types of activities and school outcomes including student…
Descriptors: School Effectiveness, Principals, High Schools, Time Management
Reardon, Sean F. – Education and the Public Interest Center, 2009
"How New York City's Charter Schools Affect Achievement" estimates the effects on student achievement of attending a New York City charter school rather than a traditional public school and investigates the characteristics of charter schools associated with the most positive effects on achievement. Because the report relies on an…
Descriptors: Charter Schools, Academic Achievement, Achievement Gains, Achievement Rating
Salvucci, Sameena; And Others – 1995
This technical report provides the results of a study on the calculation and use of generalized variance functions (GVFs) and design effects for the 1990-91 Schools and Staffing Survey (SASS). The SASS is a periodic integrated system of sample surveys conducted by the National Center for Education Statistics (NCES) that produces sampling variances…
Descriptors: Administrators, Computation, Elementary Secondary Education, Error of Measurement
Henke, Robin R.; And Others – 1996
The National Center for Education Statistics recently released results of the 1993-94 Schools and Staffing Survey (SASS). SASS, an integrated survey of public and private schools, school districts, principals, and teachers, is the most comprehensive survey of the school work force and teacher supply and demand ever conducted in the United States.…
Descriptors: Data Collection, Elementary Secondary Education, Enrollment, Error of Measurement
Monaco, David; Salvucci, Sameena; Zhang, Fan; Hu, Mingxiu; Gruber, Kerry – 1997
This technical report presents results of an analysis of unit response rates for the components of the 1993-94 Schools and Staffing Surveys (SASS). The study was motivated by the general need to evaluate and improve the quality of SASS data and to identify potential sources of nonsampling error associated with nonresponse in SASS. As background,…
Descriptors: Elementary Secondary Education, Error of Measurement, Institutional Characteristics, Libraries
Vaden-Kiernan, Nancy – Journal for Vocational Special Needs Education, 2005
This Statistics in Brief analyzes parents' reports of school practices to provide information to families, using data from the 2003 Parent and Family Involvement in Education Survey and the 1996 Parent and Family Involvement in Education and Civic Involvement Survey of the National Household Education Surveys Program. Parent reports of school…
Descriptors: Parent School Relationship, Information Dissemination, Parent Participation, Family Involvement
Altonji, Joseph G. – 1990
This paper examines whether failure to control for family background, aptitude, high school quality, high school curriculum, and community characteristics leads to bias in estimates of the economic return resulting from postsecondary education. High school specific fixed effects were used to control for all observed and unobserved characteristics…
Descriptors: College Bound Students, Community Characteristics, Data Analysis, Educational Benefits