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Cyrenne, Philippe; Chan, Alan – Canadian Journal of Higher Education, 2022
The ability of universities and colleges to predict the success of admitted students continues to be a key concern of higher education officials. Apart from a desire to see students have successful academic careers, there is also the fiscal reality of greater tuition revenues providing needed support for university budgets. Using administrative…
Descriptors: College Students, Academic Achievement, Predictor Variables, Statistical Analysis
Oded Gurantz; Ryan Sakoda; Shayak Sarkar – Annenberg Institute for School Reform at Brown University, 2021
This paper examines how financial aid reform based on postsecondary institutional performance impacts student choice. Federal and state regulations often reflect concerns about the private, for-profit sector's poor employment outcomes and high loan defaults, despite the sector's possible theoretical advantages. We use student level data to examine…
Descriptors: State Aid, College Attendance, Student Financial Aid, Institutional Characteristics
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Kim, Sooyeon; Moses, Tim – ETS Research Report Series, 2016
The purpose of this study is to evaluate the extent to which item response theory (IRT) proficiency estimation methods are robust to the presence of aberrant responses under the "GRE"® General Test multistage adaptive testing (MST) design. To that end, a wide range of atypical response behaviors affecting as much as 10% of the test items…
Descriptors: Item Response Theory, Computation, Robustness (Statistics), Response Style (Tests)
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Canning, John – Perspectives: Policy and Practice in Higher Education, 2015
Despite numerous criticisms of the UK National Student Survey (NSS) institutional managers still strongly support its use in informing student choice, quality and assurance and quality enhancement activities. This article outlines a granular and nuanced benchmarking system for the NSS which provides both a "raw" score (weighted student…
Descriptors: Foreign Countries, National Surveys, Student Surveys, Weighted Scores
Markovitz, Carrie E.; Hernandez, Marc W.; Hedberg, Eric C.; Silberglitt, Benjamin – Corporation for National and Community Service, 2015
Minnesota Reading Corps is the largest AmeriCorps State program in the country. Its mission is to help every Minnesota child become a proficient reader by the end of third grade. To meet this goal, the Minnesota Reading Corps and its host organization, ServeMinnesota Action Network, engages a diverse group of AmeriCorps members to provide…
Descriptors: Outcome Measures, Reading Programs, State Programs, Preschool Education
Markovitz, Carrie E.; Hernandez, Marc W.; Hedberg, Eric C.; Silberglitt, Benjamin – Corporation for National and Community Service, 2014
Minnesota Reading Corps (MRC) is the largest AmeriCorps State program in the country. The goal of MRC is to ensure that students become successful readers and meet reading proficiency targets by the end of the third grade. Starting in 2011, the "Corporation for National and Community Service" (CNCS) sponsored a randomized controlled…
Descriptors: Outcome Measures, Reading Programs, Primary Education, Program Effectiveness
Coulson, Andrew J. – Cato Institute, 2010
School voucher and education tax credit programs have proliferated in the United States over the past two decades. Advocates have argued that they will enable families to become active consumers in a free and competitive education marketplace, but some fear that these programs may in fact bring with them a heavy regulatory burden that could stifle…
Descriptors: Educational Vouchers, Tax Credits, School Choice, Statistical Analysis
Dragoset, Lisa; Gordon, Anne – US Department of Agriculture, 2010
This report describes work using nationally representative 2005 data from the School Nutrition Dietary Assessment-III (SNDA-III) study to develop a simulation model to predict the potential implications of changes in policies or practices related to school meals and school food environments. The model focuses on three domains of outcomes: (1) the…
Descriptors: National Programs, Lunch Programs, Breakfast Programs, Nutrition
Blankmeyer, Eric – 1993
Ordinary least-squares regression treats the variables asymmetrically, designating a dependent variable and one or more independent variables. When it is not obvious how to make this distinction, a researcher may prefer to use orthogonal regression, which treats the variables symmetrically. However, the usual procedure for orthogonal regression is…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Least Squares Statistics, Mathematical Models
Morrisson, Christian; Murtin, Fabrice – Centre for the Economics of Education (NJ1), 2009
Global economic transformations have never been as dramatic as in the twentieth century. Most countries have experienced radical changes in the standards of income per capita, technology, fertility, mortality, income inequality and the extent of democracy in the course of the past century. It is the goal of many disciplines--economics, history,…
Descriptors: Economic Development, Educational Attainment, Demography, Global Approach
Barron, Sheila I.; Koretz, Daniel M. – 1994
Recent changes in the National Assessment of Educational Progress (NAEP) that lead to its division into a trend assessment and a main assessment jeopardize the information the NAEP can provide about trends, especially the trends for racial and ethnic groups. This study for the Technical Review Panel addressed whether the trend assessment provides…
Descriptors: Age Differences, Educational Trends, Elementary Secondary Education, Error of Measurement
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Dorans, Neil J.; Lyu, C. Felicia; Pommerich, Mary; Houston, Walter M. – College and University, 1997
This study developed concordant relationships between American College Testing Program and Scholastic Assessment Test scores for students taking both examinations between October 1994 and December 1996. Fourteen universities and two state education departments participated in the study. Text provides information on data collection, sample…
Descriptors: Achievement Tests, Admission Criteria, College Entrance Examinations, Data Collection