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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
Chen, Chen-Su; Sable, Jennifer; Mitchell, Lindsey; Liu, Fei – National Center for Education Statistics, 2012
The Common Core of Data (CCD) nonfiscal surveys consist of data submitted annually to the National Center for Education Statistics (NCES) by state education agencies (SEAs) in the 50 states, the District of Columbia, Puerto Rico, the four U.S. Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin…
Descriptors: School Surveys, Documentation, State Surveys, Annual Reports
State Higher Education Executive Officers, 2012
The State Higher Education Finance (SHEF) report is produced annually by the State Higher Education Executive Officers (SHEEO) to broaden understanding of the context and consequences of multiple decisions made every year in each of these areas. No single report can provide definitive answers to such broad and fundamental questions of public…
Descriptors: Higher Education, Tax Effort, Income, Educational Finance
Rosenshine, Barak; And Others – 1973
Analysis of student responses in 1,200 undergraduate classes to a 40 item Course Evaluation Questionnaire yielded the following results. None of the eight demographic variables correlated .2 or higher with any of 30 items on course and instructor. Variables correlating .4 or higher with five preference criteria were: clarity of instructor's…
Descriptors: Course Evaluation, Data Analysis, Demography, Predictor Variables
Gustafson, Richard A.; Winstead, Richard E. – 1973
Three hundred randomly selected subjects were interviewed concerning their personal characteristics and the geographic area of residence. These factors, including occupation, age, education level, and measures of mobility, were analyzed using stepwise multiple regression to isolate predictors of personal mobility. Multiple correlation coefficients…
Descriptors: Age, Educational Background, Mobility, Occupational Information

Garland, Kathleen; Rike, Galen E. – Journal of Education for Library and Information Science, 1987
This study examined the relationship between scholarly publication by faculty teaching in library and information science programs and 18 selected variables. Six variables were found to be predictors of faculty productivity: highest degree earned, size of faculty, years elapsed from bachelors's to highest degree, program type, prestige of program,…
Descriptors: Faculty Publishing, Higher Education, Information Science, Multiple Regression Analysis
Grivich, James A. – 1974
This document provides enrollment and Average Daily Attendance (ADA) projections for the district and for each college within the district for the next five years. Enrollment data are divided into day and evening components; ADA data are divided into Defined Adult and Other-Than-Defined-Adult components. District enrollment is projected to total…
Descriptors: Adult Students, Attendance Patterns, College Attendance, Community Colleges
Innes, Thomas C.; Cormier, William H. – 1973
The adequacy of using a combination of criterion-scaled non-school variables to predict achievement score means of schools is discussed. Non-school data gathered on eighth-grade students were criterion-scaled, using the total score of the Metropolitan Achievement Test. Eight non-school category scores and actual achievement scores of selected…
Descriptors: Academic Achievement, Achievement Tests, Item Analysis, Performance Factors
Pinelli, Thomas E.; And Others – Proceedings of the ASIS Annual Meeting, 1991
Describes a project sponsored by the National Aeronautics and Space Administration (NASA) and the Department of Defense that investigated the relationship between the use of U.S. government technical reports by aerospace engineers and scientists and seven independent sociometric variables. The conceptual framework is explained, and relevant…
Descriptors: Aerospace Industry, Analysis of Variance, Engineers, Government Publications
Wise, David A. – 1976
Census data were used to predict average district scores on standardized achievement tests for grades one, two, three, six, and twelve, in 716 California school districts. The following census variables were used: education, income, college, poverty (families); poverty (children); professional occupations; housing; Spanish surnames; and Black.…
Descriptors: Academic Achievement, Achievement Tests, Community Characteristics, Cultural Influences

Kleban, Morton H. – 1978
Q-type factor analysis was used to re-analyze baseline data collected in 1957, on 47 men aged 65-91. Q-type analysis is the use of factor methods to study persons rather than tests. Although 550 variables were originally studied involving psychiatry, medicine, cerebral metabolism and chemistry, personality, audiometry, dichotic and diotic memory,…
Descriptors: Biological Influences, Data Analysis, Factor Analysis, Factor Structure
Cascallar, Alicia S.; Dorans, Neil J. – College Entrance Examination Board, 2003
Score linkages between the Verbal and Math sections of the SAT® I: Reasoning Test and the corresponding sections of the new version of a Spanish-language admissions test, the Prueba de Aptitud Academica® (PAA™) were investigated. A bilingual group design was employed. A language proficiency measure (ESLAT) was used to define the bilingual group…
Descriptors: Equated Scores, Spanish, English, Language of Instruction
Lewis, Morgan V. – 1993
Annual report data for the 1990, 1991, and 1992 school years of schools and colleges accredited by the Accrediting Commission of Career Schools/Colleges of Technology were analyzed to determine whether such schools and colleges have any characteristics that are significantly related to their performance. The following six measures were derived:…
Descriptors: Annual Reports, Data Analysis, Dropout Rate, Enrollment
Council for Higher Education, Jerusalem (Israel). – 1979
Statistical data on seven Israeli universities for 1977-78 are presented in this annual statistical abstract compiled by the Planning and Grants Committee of the Council for Higher Education. Data on students are tabulated according to academic institution, level of degree, field of study, age, sex, and continent of birth. Enrollments and…
Descriptors: Annual Reports, Budgets, College Students, Definitions
Stricker, Lawrence J.; Rock, Donald A.; Pollack, Judith M.; Wenglinsky, Harold H. – College Entrance Examination Board, 2002
This study explored individual differences in educational disadvantage-- deficits in formal and informal education in the school, home, and elsewhere--in the SAT test-taking population. Factor analysis identified six educational disadvantage factors--four concerning the students' schools and two the students' nativity and parenting--and one family…
Descriptors: Research Reports, College Entrance Examinations, Individual Differences, Disadvantaged