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Showing 1 to 15 of 18 results Save | Export
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Kim, Mikyong Minsun; Kutscher, Elisabeth Louise – Research in Higher Education, 2021
Using large-scale longitudinal data, this study sought to examine factors influencing two important student development outcomes in students with disabilities attending 4-year colleges and universities. Informed by Astin's Input-Environment-Outcome model and the interactional model of disability, this study investigated the effect of student…
Descriptors: College Students, Students with Disabilities, Academic Ability, Self Esteem
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Natale, Vickie C.; Jones, Stephanie J. – Community College Journal of Research and Practice, 2018
The study examined how institutional and student characteristics may influence the earning of student success points by state-supported community colleges under the Texas performance funding system that was fully implemented in the 2016-2017 biennium. Texas has historically funded community colleges based on an enrollment formula; however, the…
Descriptors: Institutional Characteristics, Student Characteristics, Community Colleges, Two Year College Students
Shneyderman, Aleksandr; Froman, Terry – Research Services, Miami-Dade County Public Schools, 2015
In accordance with the federal No Child Left Behind (NCLB) law of 2001, 100% of students were expected to become proficient on state assessments of reading and mathematics by the end of 2013-2014 academic year. Schools that consistently failed to meet the NCLB's Adequate Yearly Progress requirements were subject to penalties. In 2011, the U.S.…
Descriptors: Educational Legislation, Federal Legislation, Standardized Tests, Academic Achievement
Guillermo-Wann, Chelsea – Online Submission, 2012
The practical problem of how to utilize multiple race data in quantitative higher education research collides with neo-conservative and liberal assumptions that a perceived growth in a post-civil rights multiracial population suggests racism no longer exists, and with concerns that multiracial data will undermine civil rights progress. Given that…
Descriptors: Civil Rights, Multiracial Persons, Predictor Variables, Classification
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Odaci, Hatice – Computers & Education, 2011
Although computers and the internet, indispensable tools in people's lives today, facilitate life on the one hand, they have brought new risks with them on the other. Internet dependency, or problematic internet use, has emerged as a new concept of addiction. Parallel to this increasing in society in general, it is also on the rise among…
Descriptors: Foreign Countries, Internet, Computer Use, Predictor Variables
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Wisner, Marie D. – Christian Higher Education, 2011
This study investigated the degree to which strengths ownership, psychological capital (PsyCap) qualities of hope, self-efficacy, optimism, and resiliency, and demographic characteristics of gender, college class level, leadership experience, and strengths experience are predictive of effective leadership practices as defined by the Leadership…
Descriptors: College Students, Student Leadership, Student Development, Models
Isenberg, Eric; Hock, Heinrich – Mathematica Policy Research, Inc., 2012
This report describes the value-added models used as part of teacher evaluation systems in the District of Columbia Public Schools (DCPS) and in eligible DC charter schools participating in "Race to the Top." The authors estimated: (1) teacher effectiveness in DCPS and eligible DC charter schools during the 2011-2012 school year; and (2)…
Descriptors: Teacher Evaluation, Value Added Models, Public Schools, Charter Schools
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Silvia, Suyapa; Blitstein, Jonathan; Williams, Jason; Ringwalt, Chris; Dusenbury, Linda; Hansen, William – National Center for Education Evaluation and Regional Assistance, 2010
This is the first of two reports that summarize the findings from an impact evaluation of a violence prevention intervention for middle schools. This report discusses findings after 1 year of implementation. A forthcoming report will discuss the findings after 2 years and 3 years of implementation. In 2004, the U.S. Department of Education (ED)…
Descriptors: Middle Schools, Violence, Prevention, Intervention
Levine, Daniel U.; Stephenson, Robert S. – 1988
Actual data sets were used to illustrate how substantially different conclusions and implications can be drawn from alternate multiple regressions predicting academic achievement from the same set of variables measuring student background. Variables assessing students' socioeconomic status and geographic mobility, used to predict reading and math…
Descriptors: Academic Achievement, Educational Policy, Elementary Secondary Education, Multiple Regression Analysis
Goldberger, Arthur S.; Cain, Glen G. – 1981
In the study "Public and Private Schools," the conclusions by James Coleman and others that private schools produce higher test scores and do so by employing certain school policies are not valid because the methods and interpretations used in the analysis fall below the standards for social-scientific research. Moreover, the conclusions…
Descriptors: Academic Achievement, Multiple Regression Analysis, Predictor Variables, Private Schools
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Morton, Lisa; Lamb, Charles – College Quarterly, 2006
This paper reports the responses of 235 tertiary commerce students to a questionnaire in relation to their learning and assessment experiences. Significant correlations between measures were used to identify underlying constructs within the overall set of variable measures. Logistic regression incorporating the factors was then used to further…
Descriptors: Higher Education, Questionnaires, Predictor Variables, Gender Differences
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House, J. Daniel – International Journal of Instructional Media, 2006
This article deals with the Third International Mathematics and Science Study (TIMSS). TIMSS has provided a comprehensive assessment of educational contexts and mathematics and science achievement (National Research Council, 1999). The initial TIMSS assessment was conducted in 1995 (TIMSS 1995) and several studies have examined factors related to…
Descriptors: Program Effectiveness, Foreign Countries, Teaching Methods, Student Characteristics
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Thomas, Emily H.; Galambos, Nora – Research in Higher Education, 2004
To investigate how students' characteristics and experiences affect satisfaction, this study uses regression and decision tree analysis with the CHAID algorithm to analyze student-opinion data. A data mining approach identifies the specific aspects of students' university experience that most influence three measures of general satisfaction. The…
Descriptors: Student Attitudes, Multiple Regression Analysis, Student Experience, Satisfaction
Jenkins, Davis – Community College Research Center, Columbia University, 2006
This study, conducted by the Community College Resource Center (CCRC), identifies community college management practices that promote student success. This study builds on earlier CCRC research using national survey data. It used transcript-level data on 150,000 students in three cohorts of first-time Florida community college students and a…
Descriptors: Probability, College Students, Academic Achievement, Community Colleges
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Anderson, Joan L. – College and University, 2006
Data from graduate student applications at a large Western university were used to determine which factors were the best predictors of success in graduate school, as defined by cumulative graduate grade point average. Two statistical models were employed and compared: artificial neural networking and simultaneous multiple regression. Both models…
Descriptors: Graduate Students, Grade Point Average, Predictor Variables, Success
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