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Zilvinskis, John – Journal of Postsecondary Education and Disability, 2020
Each year hundreds of institutions will administer national surveys to measure the engagement of their students. However, stakeholders on college campuses, such as educators (faculty, instructors, student affairs educators, and disability services administrators) and institutional research staff who work with this information are often unaware of…
Descriptors: Students with Disabilities, Data Collection, Data Use, Student Needs
Thomas M. Kirnbauer – ProQuest LLC, 2021
This dissertation's two primary purposes were to construct an alternative socioeconomic status model and estimate how it predicts student success in higher education. This research filled a gap in knowledge about the widely acknowledged disparities in higher education based on socioeconomic status. Prior research has often relied on parental…
Descriptors: Models, Predictor Variables, Socioeconomic Status, Academic Achievement
Morris William George – ProQuest LLC, 2024
This study sought to understand factors influencing student satisfaction with online learning technologies in U.S. higher education institutions after the spring semester of 2020 when the COVID-19 pandemic forced all higher education to an online format. Understanding these factors can help universities acknowledge student preferences and improve…
Descriptors: Electronic Learning, Educational Technology, Colleges, Student Attitudes
Garvey, Jason C.; Hart, Jeni; Metcalfe, Amy Scott; Fellabaum-Toston, Jennifer – Review of Higher Education, 2019
We examine the American landscape of higher education quantitative research concerning how gender and sex demographic information is collected. We use a directed content analysis to examine the prevalence and operationalization of gender and sex among widely used higher education survey instruments. Our findings illuminate a seemingly haphazard…
Descriptors: Research Problems, Educational Research, Higher Education, Data Collection
Bowman, Nicholas A.; Trolian, Teniell L. – Innovative Higher Education, 2017
Many higher education studies have examined linear relationships between student experiences and outcomes, but this assumption may be questionable. In two notable examples previous research that assumed a linear relationship reached different substantive conclusions and implications than did research that explored non-linear associations among the…
Descriptors: Student Experience, Outcomes of Education, Longitudinal Studies, Correlation
Chen, Pu-Shih Daniel; Gonyea, Robert M.; Sarraf, Shimon A.; BrckaLorenz, Allison; Korkmaz, Ali; Lambert, Amber D.; Shoup, Rick; Williams, Julie M. – New Directions for Institutional Research, 2009
Colleges and universities in the United States are being challenged to assess student outcomes and the quality of programs and services. One of the more widely used sources of evidence is student engagement as measured by a cluster of student engagement surveys administered by the Center for Postsecondary Research at Indiana University. They…
Descriptors: Data Analysis, Data Interpretation, National Surveys, College Students
Rocconi, Louis M. – Association for Institutional Research (NJ1), 2011
Hierarchical linear models (HLM) solve the problems associated with the unit of analysis problem such as misestimated standard errors, heterogeneity of regression and aggregation bias by modeling all levels of interest simultaneously. Hierarchical linear modeling resolves the problem of misestimated standard errors by incorporating a unique random…
Descriptors: Regression (Statistics), Models, Least Squares Statistics, Data Analysis
Joch, Alan – Community College Journal, 2009
Community colleges are pulling back the covers of student performance in favor of a new "culture of evidence." One hundred two community colleges in 22 states have joined Achieving the Dream: Community Colleges Count. Backed by a partnership of foundations and research organizations, the effort provides funding, coaching, and data-driven…
Descriptors: Community Colleges, Evidence, School Statistics, Outcomes of Education
Ahren, Chad; Ryan, Helen Grace; Massa-McKinley, Ryan – About Campus, 2008
The authors interviewed two dozen educators at several institutions who were responsible for administration of the survey on their campus to better understand how data from the National Survey of Student Engagement (NSSE) were (or were not) being used. The project managers they interviewed had successfully used strategies to make sense of NSSE…
Descriptors: Higher Education, Data Analysis, Cooperation, National Surveys
Herzog, Serge – New Directions for Institutional Research, 2011
Most institutional research (IR) practitioners lack access to direct measures of longitudinal student learning, let alone assessment instruments systematically embedded into the curriculum that yield representative cognitive gain data controlling for student motivation. Typically, measures of student learning growth rest on findings from survey…
Descriptors: Institutional Research, Educational Researchers, Access to Information, Value Judgment
Eck, Jim C.; Edge, Hoyt; Stephenson, Katherine – Assessment Update, 2007
Higher education research consistently finds that student attrition is caused by a lack of academic and social engagement. Many colleges and universities are now experimenting with living-learning communities in one form or another in order to enhance student-college fit. Rollins College, a selective comprehensive institution with a successful…
Descriptors: College Students, Social Integration, Data Analysis, Student Attrition
Kuh, George D.; Umbach, Paul D. – New Directions for Institutional Research, 2004
The authors examine the college conditions that contribute to character development, using data from the National Survey of Student Engagement (NSSE). (Contains 4 tables and 5 figures.)
Descriptors: Personality, College Students, National Surveys, Data Interpretation
National Survey of Student Engagement, 2009
Assessment is a worthwhile undertaking when meaningful data are generated, evidence-based improvement initiatives are thoroughly considered and discussed, and results are ultimately used to improve educational effectiveness. National Survey of Student Engagement (NSSE) results are oriented toward such practical use. Each year, more campuses use…
Descriptors: National Surveys, Learner Engagement, Student Surveys, Undergraduate Students
Kandiko, C. B. – Journal of Institutional Research, 2008
To compare college and university student engagement in two countries with different responses to global forces, Canada and the United States (US), a series of hierarchical linear regression (HLM) models were developed to analyse data from the 2006 administration of the National Survey of Student Engagement (NSSE). Overall, students in the U.S.…
Descriptors: National Surveys, Comparative Analysis, Comparative Education, Learner Engagement
El-Khawas, Elaine – 2003
During the 2002-2003 academic year, six roundtables were held to explore uses of the data from the National Survey of Student Engagement (NSSE) for improvement of student learning. This paper describes the roundtable discussion held in Kentucky in December 2002. This roundtable focused on ways the NSSE can contribute to state-level efforts on…
Descriptors: Accountability, College Students, Data Analysis, Higher Education
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