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Najib A. Mozahem – Sage Research Methods Cases, 2021
The internet has had a vast and pervasive effect on many industries. It has resulted in the creation of new industries and has overhauled the dynamics that governed existing industries. One of the most traditional industries that is now struggling to cope with the changes brought on by the internet is the industry of higher education. Students can…
Descriptors: Social Sciences, Electronic Learning, Learning Management Systems, Higher Education
Tanner, Sean; Terrell, Jenna; Vislosky, Emily; Gellar, Jonathan; Gill, Brian – Regional Educational Laboratory Mid-Atlantic, 2021
Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. This…
Descriptors: Enrollment, Enrollment Projections, School Districts, Statistical Analysis
Regional Educational Laboratory Mid-Atlantic, 2021
Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. This…
Descriptors: Enrollment, Enrollment Projections, School Districts, Statistical Analysis
Regional Educational Laboratory Mid-Atlantic, 2021
Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. The…
Descriptors: Enrollment, Enrollment Projections, School Districts, Statistical Analysis
Wolzinger, Renah; O'Lawrence, Henry – Pedagogical Research, 2018
This research predicts transfer readiness of student's characteristics and enrollment in CTE pathway; and most significantly addressed statewide CTE transfer students that meet the transfer requirements under CTE Taxonomy of program (TOP) code for students who transfer to a California State University (CSU), and Private or out-of-state university.…
Descriptors: Student Characteristics, Enrollment, College Transfer Students, Readiness
Examining the Relationship between Teacher Candidates' Individual Values and Leadership Orientations
Cansoy, Ramazan; Tofur, Sezen – Journal of Education and Practice, 2017
The aim of this study was to examine the relationship between teacher candidates' individual values and leadership orientations. The participants of the study were a total of 452 teacher candidates studying in the pedagogical formation program of Karabük University in the 2016-2017 academic year. The Leadership Orientations Scale and Portrait…
Descriptors: Values, Relationship, Leadership, Predictor Variables
Finch, W. Holmes; Finch, Maria E. Hernandez – Practical Assessment, Research & Evaluation, 2016
Researchers and data analysts are sometimes faced with the problem of very small samples, where the number of variables approaches or exceeds the overall sample size; i.e. high dimensional data. In such cases, standard statistical models such as regression or analysis of variance cannot be used, either because the resulting parameter estimates…
Descriptors: Sample Size, Statistical Analysis, Regression (Statistics), Predictor Variables
Ahmadi, Mohammad; Dileepan, Parthasarati; Wheatley, Kathleen K. – Journal of Education for Business, 2016
This is the decade of data analytics and big data, but not everyone agrees with the definition of big data. Some researchers see it as the future of data analysis, while others consider it as hype and foresee its demise in the near future. No matter how it is defined, big data for the time being is having its glory moment. The most important…
Descriptors: Strategic Planning, Data, Data Analysis, Statistical Analysis
Cohen, Anat – Educational Technology Research and Development, 2017
Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…
Descriptors: Academic Persistence, Predictor Variables, Dropouts, At Risk Students
Sanderson, Heather; DeRousie, Jason; Guistwite, Nicole – Journal of Student Affairs Research and Practice, 2018
This study examined the impact of collegiate recreation participation on academic success as measured by grade point average, course credit completion, and persistence or graduation. Logistic and multiple regressions were run to explore the relationship between total recreation contact hours and outcome variables. Results indicated a positive and…
Descriptors: College Athletics, Recreational Activities, Academic Achievement, Success
Sorour, Shaymaa E.; Goda, Kazumasa; Mine, Tsunenori – Educational Technology & Society, 2017
The purpose of this study is to examine different formats of comment data to predict student performance. Having students write comment data after every lesson can reflect students' learning attitudes, tendencies and learning activities involved with the lesson. In this research, Latent Dirichlet Allocation (LDA) and Probabilistic Latent Semantic…
Descriptors: Data Analysis, Information Retrieval, Academic Achievement, Student Attitudes
Busch, Tobias; Vanpoucke, Filiep; van Wieringen, Astrid – Journal of Speech, Language, and Hearing Research, 2017
Purpose: We describe the natural auditory environment of people with cochlear implants (CIs), how it changes across the life span, and how it varies between individuals. Method: We performed a retrospective cross-sectional analysis of Cochlear Nucleus 6 CI sound-processor data logs. The logs were obtained from 1,501 people with CIs (ages 0-96…
Descriptors: Auditory Stimuli, Assistive Technology, Life Cycle Costing, Individual Differences
Brahm, Taiga; Jenert, Tobias; Wagner, Dietrich – Higher Education: The International Journal of Higher Education Research, 2017
In Switzerland, every student graduating from grammar school can begin to study at a university. This leads to high dropout rates. Although students' motivation is considered a strong predictor of performance, the development of motivation during students' transition from high school to university has rarely been investigated. Additionally, little…
Descriptors: Longitudinal Studies, Business Schools, Foreign Countries, Student Motivation
Gerde, Hope K.; Pierce, Steven J.; Lee, Kyungsook; Van Egeren, Laurie A. – Early Education and Development, 2018
Research Findings: Quality early science education is important for addressing the low science achievement, compared to international peers, of elementary students in the United States. Teachers' beliefs about their skills in a content area, that is, their content self-efficacy is important because it has implications for teaching practice and…
Descriptors: Early Childhood Education, Preschool Teachers, Self Efficacy, Science Instruction
Kennedy, Kerry J.; Lijuan, Li – Frontiers of Education in China, 2016
This study identifies predictors of Hong Kong students' civic learning. It has adopted a cross-sectional quantitative design using secondary data from the 2009 International Civics and Citizenship Education Study (ICCS 2009; Schulz et al., 2010). Multi-level analysis reveals that most of the variance in student achievement can be accounted for by…
Descriptors: Foreign Countries, International Assessment, Predictor Variables, Statistical Analysis