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Beasley, Shannon Wilson Sewell – ProQuest LLC, 2016
Since the seminal work of Davis in 1989 produced the Technology Acceptance Model (TAM), researchers have sought to extend the framework and use the resulting models to describe the predictors of technology adoption specific to various populations. Although the TAM has been used to understand the adoption of technology in higher education, most of…
Descriptors: Adoption (Ideas), Educational Technology, Technical Education, Multivariate Analysis
Leiba, Alwyn – ProQuest LLC, 2016
Investigation of leadership styles and emotional intelligence (EI) factors have on job satisfaction could help address leadership issues within community college leadership teams. The purpose of this quantitative, nonexperimental study was to determine what effective leadership styles, in conjunction with level of EI, have in relation to job…
Descriptors: Leadership Styles, Emotional Intelligence, Job Satisfaction, Community Colleges
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Heller, Monica L.; Cassady, Jerrell C. – Journal of College Student Retention: Research, Theory & Practice, 2017
The current study explored the differential influences that behavioral learning strategies (i.e., cognitive-metacognitive, resource management), motivational profiles, and academic anxiety appraisals have on college-level learners in two unique learning contexts. Using multivariate analysis of variance and discriminant analysis, the study first…
Descriptors: Community Colleges, Two Year College Students, College Students, Universities
Brown, Chanda Denea – Online Submission, 2015
This study explored whether a predictive model of student loan default could be developed with data from an institution's three-year cohort default rate report. The study used borrower data provided by a large two-year community college. Independent variables under investigation included total undergraduate Stafford student loan debt, total number…
Descriptors: Models, Loan Default, Community Colleges, Undergraduate Students
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Harris, Robert V.; King, Stephanie B. – Community College Journal of Research and Practice, 2016
The purpose of this study was to see if a relationship existed between American College Testing (ACT) scores (i.e., English, reading, mathematics, science reasoning, and composite) and student success in a computer applications course at a Mississippi community college. The study showed that while the ACT scores were excellent predictors of…
Descriptors: College Entrance Examinations, Standardized Tests, Scores, Predictor Variables
Bumbacher, Engin; Salehi, Shima; Wierzchula, Miriam; Blikstein, Paulo – International Educational Data Mining Society, 2015
Studies comparing virtual and physical manipulative environments (VME and PME) in inquiry-based science learning have mostly focused on students' learning outcomes but not on the actual processes they engage in during the learning activities. In this paper, we examined experimentation strategies in an inquiry activity and their relation to…
Descriptors: Physics, Science Instruction, College Students, Predictor Variables
Rose, Kevin Paul – ProQuest LLC, 2013
In 2000, the Texas Higher Education Coordinating Board (THECB) adopted Closing the Gaps by 2015: The Texas Higher Education Plan. This new master plan set goals for Texas higher education in participation, success, research, and excellence. The plan acknowledged a shortfall related to projected demographic shifts in both the number of degrees and…
Descriptors: Longitudinal Studies, Community Colleges, Educational Finance, Achievement Gap
Harris, Robert V. – ProQuest LLC, 2014
In this educational study, the research problem was that each semester a variable number of community college students are unable to complete an introductory computer applications course at a community college in the state of Mississippi with a successful course letter grade. Course failure, or non-success, at the collegiate level is a negative…
Descriptors: Standardized Tests, Scores, Computer Science Education, Success
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Jones, Willis A. – Community College Review, 2013
While there has been increased scholarship in recent years on diversity in higher education, most of this research has failed to include 2-year institutions in its analyses. This study examined whether the racial composition of the community college student body is correlated with an institution's normative climate toward three diversity…
Descriptors: Community Colleges, Racial Composition, College Students, Beliefs
Shelley, Jeffrey Lee – ProQuest LLC, 2013
The purpose of this study was to expand the literature on student persistence in community colleges through three research innovations. First, the literature on student persistence in community colleges was expanded by applying theory to the identification and testing of predictors. Second, it was expanded by validating retention prediction…
Descriptors: Academic Achievement, Community Colleges, School Effectiveness, Predictor Variables
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Han, Meekyung; Pong, Helen – Journal of College Student Development, 2015
According to the 2008 U.S. Census, there are 15.5 million Asian Americans in the United States, and 17% are students enrolled in a university (Shea & Yeh, 2008). Asian American college students in higher education are oftentimes perceived as the "model minority" with high academic achievements and few mental and/or behavioral…
Descriptors: Asian American Students, Two Year College Students, Community Colleges, Help Seeking
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D'Amico, Mark M.; Morgan, Grant B.; Robertson, Shun; Rivers, Hope E. – Community College Journal of Research and Practice, 2013
In the knowledge economy, now more than ever, students are encouraged to attend an institution of higher education. Students actively search for resources to assist them in their progress toward a college degree, even before high school graduation. Dual enrollment is an opportunity for students to complete college courses while still in high…
Descriptors: Community Colleges, Dual Enrollment, Academic Persistence, High School Students
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Bahr, Peter Riley; Bielby, Rob; House, Emily – New Directions for Institutional Research, 2011
One useful and increasingly popular method of classifying students is known commonly as cluster analysis. The variety of techniques that comprise the cluster analytic family are intended to sort observations (for example, students) within a data set into subsets (clusters) that share similar characteristics and differ in meaningful ways from other…
Descriptors: College Students, Classification, Multivariate Analysis, Community Colleges
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Saenz, Victor B.; Hatch, Deryl; Bukoski, Beth E.; Kim, Suyun; Lee, Kye-hyoung; Valdez, Patrick – Community College Review, 2011
This study employs survey data from the Center for Community College Student Engagement to examine the similarities and differences that exist across student-level domains in terms of student engagement in community colleges. In total, the sample used in the analysis pools data from 663 community colleges and includes more than 320,000 students.…
Descriptors: Learner Engagement, Community Colleges, Classification, Multivariate Analysis
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McKinney, Lyle; Novak, Heather – Community College Review, 2013
In 2007-2008, approximately 42% of community college students who were eligible to receive Pell grant funding did not file the Free Application for Federal Student Aid (FAFSA). Using data from the Beginning Postsecondary Student Study, this study examined the relationship between FAFSA filing status and persistence from the fall to spring…
Descriptors: Academic Persistence, Student Financial Aid, Community Colleges, Two Year College Students
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