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Ferrão, Maria Eugénia – Journal of College Student Development, 2020
A broad consensus regarding the need for universities to cultivate academic success has emerged because many students do not achieve their goals or optimally benefit from their higher education (HE) experiences (Altbach, 2014; Davidson & Wilson, 2014; Ferrão & Almeida, 2019; Meggiolaro, Giraldo, & Clerici, 2017; Tinto & Pusser,…
Descriptors: Statistical Analysis, Research Methodology, Educational Research, Higher Education
Wilkin, John P. – College & Research Libraries, 2017
The 1961 Copyright Office study on renewals, authored by Barbara Ringer, has cast an outsized influence on discussions of the U.S. 1923-1963 public domain. As more concrete data emerge from initiatives such as the large-scale determination process in the Copyright Review Management System (CRMS) project, questions are raised about the reliability…
Descriptors: Comparative Analysis, Copyrights, Misconceptions, Test Reliability
Velez, Erin Dunlop; Woo, Jennie H. – National Center for Education Statistics, 2017
As of May 2013, total outstanding student loan debt in the United States had reached $1.2 trillion, up from $1 trillion fewer than 18 months before. The growth in debt is due primarily to increases in both the rate of borrowing and the average amount borrowed, especially among graduates of 4-year institutions. In 1989-90, about half (51 percent)…
Descriptors: Undergraduate Students, Bachelors Degrees, Debt (Financial), Student Financial Aid
Zoller, Frank A.; Zimmerling, Eric; Boutellier, Roman – Higher Education: The International Journal of Higher Education and Educational Planning, 2014
The funding environment has a profound impact on researchers' behavior. In particular, it influences their freedom and readiness to conduct research ventures with highly uncertain outcomes. In this conceptual paper, we propose a concise new methodology to evaluate researchers' risk aversion based on citation statistics. The derived…
Descriptors: Financial Support, Researchers, Risk, Freedom
Rom, Mark Carl – Journal of Political Science Education, 2015
Data visualization is the term used to describe the methods and technologies used to allow the exploration and communication of quantitative information graphically. Data visualization is a rapidly growing and evolving discipline, and visualizations are widely used to cover politics. Yet, while popular and scholarly publications widely use…
Descriptors: Teaching Methods, Research Methodology, Statistical Data, Visualization
Burns, Shelley, Ed.; Wang, Xiaolei, Ed.; Henning, Alexandra, Ed. – National Center for Education Statistics, 2011
Since its inception, the National Center for Education Statistics (NCES) has been committed to the practice of documenting its statistical methods for its customers and of seeking to avoid misinterpretation of its published data. The reason for this policy is to assure customers that proper statistical standards and techniques have been observed,…
Descriptors: National Surveys, Data Processing, Statistical Data, Data Collection
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
Gorard, Stephen – British Educational Research Journal, 2010
This paper considers the model of school effectiveness (SE) currently dominant in research, policy and practice in England (although the concerns it raises are international). It shows, principally through consideration of initial and propagated error, that SE results cannot be relied upon. By considering the residual difference between the…
Descriptors: School Effectiveness, Foreign Countries, Scores, Educational Policy
Strasser, Nora – Journal of College Teaching & Learning, 2007
Avoiding statistical mistakes is important for educators at all levels. Basic concepts will help you to avoid making mistakes using statistics and to look at data with a critical eye. Statistical data is used at educational institutions for many purposes. It can be used to support budget requests, changes in educational philosophy, changes to…
Descriptors: Statistics, Statistical Data, Validity, Data Interpretation
Smith, Andrew; Courvisanos, Jerry; Tuck, Jacqueline; McEachern, Steven – National Centre for Vocational Education Research (NCVER), 2012
This document was produced by the authors based on their research for the report "Building the Capacity to Innovate: The Role of Human Capital," and is an added resource for further information. This document contains the following appendices: (1) Survey methodology; (2) Synopsis of the literature; (3) Interview questions; and (4) Survey…
Descriptors: Foreign Countries, Questionnaires, Research Methodology, Literature Reviews
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
Johnston, Lloyd D.; O'Malley, Patrick M.; Bachman, Jerald G.; Schulenberg, John E. – National Institute on Drug Abuse (NIDA), 2010
Now in its 35th year, Monitoring the Future (MTF) is a long-term program of research conducted at the University of Michigan's Institute for Social Research under a series of investigator-initiated research grants from the National Institute on Drug Abuse. The study is comprised of several ongoing series of annual surveys of nationally…
Descriptors: College Students, Lysergic Acid Diethylamide, Incidence, High School Graduates
Nevitt, Jonathan; Hancock, Gregory R. – Multivariate Behavioral Research, 2004
Through Monte Carlo simulation, small sample methods for evaluating overall data-model fit in structural equation modeling were explored. Type I error behavior and power were examined using maximum likelihood (ML), Satorra-Bentler scaled and adjusted (SB; Satorra & Bentler, 1988, 1994), residual-based (Browne, 1984), and asymptotically…
Descriptors: Statistical Data, Sample Size, Monte Carlo Methods, Structural Equation Models
Finnie, Ross; Qiu, Theresa – Statistics Canada, 2009
This report provides new and unique empirical evidence on postsecondary education pathways in Atlantic Canada based on the data from the Postsecondary Student Information System (PSIS). This study covers postsecondary students in public institutions at all levels of study--college, bachelor's, master's, Ph.D. and first professional degrees--with…
Descriptors: Student Records, Postsecondary Education, Foreign Countries, Student Mobility
National Science Foundation, 2008
This report contains analyses of key aspects of the scope, quality, and vitality of the Nation's science and engineering enterprise and global science and technology. The report presents information on science, mathematics, and engineering education at all levels; the scientific and engineering workforce; U.S. and international and development…
Descriptors: Engineering Education, Research and Development, Elementary Secondary Education, Engineering
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