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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

Dunham, Randall B.; Kravetz, Dennis J. – Journal of Experimental Education, 1975
Descriptors: Correlation, Criteria, Data Analysis, Predictor Variables

Huberty, Carl J. – Journal of Experimental Education, 1975
An empirical comparison is made of three proposed indices of relative predictor variable contribution: (1) the scaled weights of the first discriminant function; (2) the total group estimates of the correlations between each predictor variable and the first function; and (3) the within-groups estimates of the correlations between each predictor…
Descriptors: Correlation, Data Analysis, Discriminant Analysis, Educational Research
Substance Abuse and Mental Health Services Administration (DHHS/PHS), Rockville, MD. Office of Applied Studies. – 2003
Most studies dealing with the impact of September 11, 2001 events are limited by reliance on recall of individuals about their behaviors before and after the events. To understand the consequences of significant, unexpected events, it is useful to have baseline information for the purpose of comparison. This report examines the potential effects…
Descriptors: Behavior Patterns, Coping, Data Analysis, Mental Health
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

Cialdini, Robert B.; And Others – Journal of Experimental Social Psychology, 1973
It is the purpose of this paper to propose and test an alternative interpretation of the transgression-altruism relationship which is at the same time parsimonious and integratively powerful. (Author)
Descriptors: College Students, Data Analysis, Models, Predictor Variables

Van Duyne, H. John – Journal of the Association for the Study of Perception, 1972
Purpose of this study was to determine whether auditory perception, visual perception or chronological age is a better predictor of the control of nonverbal behavior by means of verbal instructions. (Author)
Descriptors: Age, Auditory Perception, Data Analysis, Nonverbal Ability

Grobe, Cary H.; MacDonald, Ian S. – Journal of Experimental Education, 1975
The purpose of this investigation was to determine the contribution of factors such as: (1) high school science background; (2) interest in geology; (3) teacher characteristics; and (4) geology course background to performance on a measure of geology achievement. (Author)
Descriptors: Academic Achievement, Course Content, Data Analysis, Geology

Blackburn, Robert T.; And Others – Sociology of Education, 1978
Examines data related to correlates of scholarly productivity. Data were collected from 8,692 college and university faculty members. Findings indicate that those faculty members who publish the most articles and books receive degrees when young, develop a habit of regular output, and work in a university with a reputation for scholarship.…
Descriptors: College Faculty, Data Analysis, Educational Research, Educational Sociology

Evans, Roy – Educational Research, 1976
Children who are "at risk" of educational handicap, or who are likely to show a poor response to the experience of school require special help and care at the earliest opportunity. Discusses the complex relationships observed between a wide range of conditions, personal and environmental, of a large group of school children, and their subsequent…
Descriptors: Academic Ability, Data Analysis, Diagrams, Educational Research
Fillos, Rita M.; Bowman, Clair Michael – 1976
This paper describes an adaptation of Dyer's regression model that uses data on individual students in an attempt to isolate the influence of different schools on variations in student achievement growth. This procedure involves comparing the results of a multiple regression analysis of individual student achievement scores and several…
Descriptors: Academic Achievement, Accountability, Data Analysis, Elementary Secondary Education

Spanier, Graham B. – Adolescence, 1976
Descriptors: College Students, Data Analysis, Educational Research, Parent Education
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

Cretser, Gary A.; Leon, Joseph J. – 1977
The study examined the economic, social structural, and social psychological indicators of quality of life (QOL) in the United States. QOL can be defined for any individual as that set of conditions which after being met makes the individual happy or satisfied. It is a subjective concept. Data for the study were taken from 1099 responses to the…
Descriptors: Cultural Influences, Data Analysis, Economic Factors, Health
Witmer, David R. – 1981
The prediction that differences in incomes of high school and college graduates will not change is tested by applying standard statistical procedures to data describing actual income differences. Data from the United States Bureau of the Census describe annual incomes of men twenty-five years old and older during 1956-75. Report 1 displays results…
Descriptors: Adults, College Graduates, Data Analysis, High School Graduates
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