NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 32 results Save | Export
National Forum on Education Statistics, 2021
"The Forum Guide to Strategies for Education Data Collection and Reporting (SEDCAR)" was created to provide timely and useful best practices for education agencies that are interested in designing and implementing a strategy for data collection and reporting, focusing on these as key elements of the larger data process. It builds upon…
Descriptors: Data Collection, Educational Research, Statistical Data, Data Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Chudagr, Amita; Luschei, Thomas F. – Education Policy Analysis Archives, 2016
The objective of this commentary is to call attention to the feasibility and importance of large-scale, systematic, quantitative analysis in international and comparative education research. We contend that although many existing databases are under- or unutilized in quantitative international-comparative research, these resources present the…
Descriptors: Information Sources, International Education, Comparative Education, Educational Policy
Peer reviewed Peer reviewed
Direct linkDirect link
Stapleton, Laura M.; McNeish, Daniel M.; Yang, Ji Seung – Educational Psychologist, 2016
Multilevel models are often used to evaluate hypotheses about relations among constructs when data are nested within clusters (Raudenbush & Bryk, 2002), although alternative approaches are available when analyzing nested data (Binder & Roberts, 2003; Sterba, 2009). The overarching goal of this article is to suggest when it is appropriate…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Statistical Data, Multivariate Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Ru-Jer, Wang – Chinese Education and Society, 2012
In recent years, the rapid growth of higher education in Taiwan has led to an essential shift from education for the elite to the massification of higher education. Although this massification is making higher education more accessible, one of the main concerns is whether opportunities for higher education are the same among all social classes in…
Descriptors: Higher Education, Educational Opportunities, Foreign Countries, Educational Change
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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: School Statistics, Definitions, Tables (Data), Longitudinal Studies
Pattison, Sandra; Hargreaves, Jo – National Centre for Vocational Education Research (NCVER), 2009
The National Centre for Vocational Education Research (NCVER) was asked by Technical and Further Education (TAFE) Directors Australia to consider, in a discussion paper for their conference held on the Gold Coast in September 2009, how a "tertiary education" sector impacts on the way people think about research and statistics. While a…
Descriptors: Higher Education, Foreign Countries, Databases, Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Warren, John Robert; Saliba, Jim – Educational Researcher, 2012
How many students repeat a grade each year? How do retention rates vary across states and over time? Despite extensive research on the predictors and consequences of grade retention, there is no systematic way to quantify state-level retention rates; even national estimates rely on imperfect proxy measures. We present a conceptually simple…
Descriptors: Grade Repetition, School Holding Power, Public Education, National Surveys
Beteille, Tara; Kalogrides, Demetra; Loeb, Susanna – National Center for Analysis of Longitudinal Data in Education Research, 2011
Principals tend to prefer working in schools with higher-achieving students from more advantaged socioeconomic backgrounds. Principals often use schools with many poor or low-achieving students as stepping stones to what they view as more desirable assignments. District leadership can also exacerbate principal turnover by implementing policies…
Descriptors: Urban Schools, Achievement Gains, Academic Achievement, Principals
Karmel, Tom; Mark, Kevin; Mlotkowski, Peter – National Centre for Vocational Education Research (NCVER), 2009
This technical paper examines some large and unusual movements for data in the 2007 VET (Vocational Education Training) Provider Collection by comparison with 2006. Changes in the patterns of courses undertaken explain most of the divergence between students, enrolments and hours. Appendices include: (1) Derivation of the decomposition; (2) Tables…
Descriptors: Vocational Education, Enrollment Rate, Enrollment Trends, Research Reports
Peer reviewed Peer reviewed
Symington, David J.; Bryce, Max W. – Educational Review, 1977
The conclusion of Cohen that there was no significant difference between the mean levels of open-closed mindedness for mature-age and younger students is questioned. (Editor)
Descriptors: Data Analysis, Dogmatism, Educational Research, Statistical Data
Peer reviewed Peer reviewed
Gorard, Stephen – Educational Review, 2002
Secondary analysis of datasets can extend previous work in the field, provide a greater quantity of material, and has the advantages of speed and lower cost. More use of secondary data could improve the low esteem of educational research. (Contains 15 references.) (SK)
Descriptors: Data Analysis, Educational Research, Foreign Countries, Numeric Databases
Harris, Margaret L.; Harris, Chester W. – 1970
The use of a strategy for determining the comparable common factors in a set of data are illustrated in this report. Both orthogonal and oblique derived solutions were obtained for each of several different initial factor methods. The results were compared across the various solutions and three types of factors were determined: comparable common…
Descriptors: Data Analysis, Educational Research, Factor Analysis, Measurement
Proger, Barton B.; And Others – 1972
Many researchers assume that unequal cell frequencies in analysis of variance (ANOVA) designs result from poor planning. However, there are several valid reasons why one might have to analyze an unequal-n data matrix. The present study reviewed four categories of methods for treating unequal-n matrices by ANOVA: (a) unaltered data (least-squares…
Descriptors: Analysis of Variance, Citations (References), Data Analysis, Educational Research
Peer reviewed Peer reviewed
Andrew, Loyd D. – New Directions for Program Evaluation, 1984
A detailed examination of the Higher Education General Information Survey (HEGIS) data base--its content, development, and past and potential uses for researchers--is presented. Because knowledge of the data elements is crucial for successful secondary analysis, procedures for collecting needed information on the data in HEGIS are suggested. (BS)
Descriptors: Data Analysis, Data Collection, Databases, Educational Research
Carpenter, Thomas; And Others – 1978
This monograph is a comprehensive presentation and discussion of the 1972-73 National Assessment mathematics data. It is a report from the National Council of Teachers of Mathematics Project for Interpretive Reports on National Assessment. The report examines data from four age groups (nine, thirteen, seventeen, and adult) and evaluates…
Descriptors: Adult Education, Data Analysis, Educational Assessment, Educational Research
Previous Page | Next Page ยป
Pages: 1  |  2  |  3