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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
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Regional Educational Laboratory Pacific, 2021
These are the appendices to the report, "Using High School Data to Predict College Success in Palau" (ED610714). Prior research, particularly for the United States, has shown that earning a community college credential increases an individual's likelihood of gaining stable employment, earning a living wage, and working in a higher-paying…
Descriptors: Foreign Countries, College Readiness, High School Students, College Preparation
Li, Dan; Benton, Stephen L.; Brown, Ron; Sullivan, Patricia; Ryalls, Kenneth R. – IDEA Center, Inc., 2016
This report describes statistical analyses performed on data collected in the Spring of 2015 from the pilot study of proposed revised and new items in the IDEA Student Ratings of Instruction (SRI) system. Described are the methods employed, results obtained, and decisions made in selecting items for the updated instruments. The procedures occurred…
Descriptors: Statistical Analysis, Rating Scales, Student Evaluation of Teacher Performance, Course Evaluation
Rothwell, Jonathan – Brookings Institution, 2012
This paper aims to provide metro, state, and national policy makers with a better sense of the specific problems facing metropolitan labor markets. First, the analysis examines trends in the demand for educated labor and how a gap between education supply and demand is related to unemployment. Next, it attempts to distinguish between cyclical and…
Descriptors: Unemployment, Supply and Demand, Public Policy, Job Development
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
Thayer, Jerome D. – 2002
This paper identifies specific problems with stepwise regression, notes criticisms of stepwise methods by statisticians, suggests appropriate ways in which stepwise procedures can be used, and gives examples of how this can be done. Although the stepwise method has been routinely criticized by statisticians, it is still frequently used in the…
Descriptors: Data Analysis, Predictor Variables, Regression (Statistics), Research Methodology
Dahl, Gordon; Lochner, Lance – Institute for Research on Poverty, 2009
Past estimates of the effect of family income on child development have often been plagued by endogeneity and measurement error. In this paper, we use two simulated instrumental variables strategies to estimate the causal effect of income on children's math and reading achievement. Our identification derives from the large, non-linear changes…
Descriptors: Family Income, Academic Achievement, Evidence, Tax Credits
Gitomer, Drew H.; Qi, Yi – Office of Planning, Evaluation and Policy Development, US Department of Education, 2010
This study concerns the "highly qualified teacher" provisions of the "Elementary and Secondary Education Act" ("ESEA," 2002), as reauthorized, and other policies at the federal, state and local levels, which have aimed to elevate the content knowledge of teachers. This examination of "Praxis II" score trends…
Descriptors: Test Use, Elementary Secondary Education, Academic Achievement, Mathematics Tests
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
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
Selo, Peter A. – 1974
This document examines the position of the Peralta Community College District as defined by the Budget Division-240 (B.D.-240), a statistical projection prepared annually by the California Department of Finance which measures the current and future student load on California community college districts. This load is used as an index of the demand…
Descriptors: Data Analysis, Educational Demand, Educational Finance, Enrollment Influences
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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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
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Huang, Gary; Taddese, Nebiyu; Walter, Elizabeth – National Center for Education Statistics, 2000
This study examines the gaps related to gender and race/ethnicity in entrance, persistence, and attainment of postsecondary science and engineering (S&E) education. After reviewing selected prior research and examining potentially relevant variables in two National Center for Education Statistics (NCES) surveys, several variables were selected…
Descriptors: Engineering Education, College Science, Minority Group Students, Womens Education