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Stephen Porter – Asia Pacific Education Review, 2024
Instrumental variables is a popular approach for causal inference in education when randomization of treatment is not feasible. Using a first-year college program as a running example, this article reviews the five assumptions that must be met to successfully use instrumental variables to estimate a causal effect with observational data: SUTVA,…
Descriptors: Causal Models, Educational Research, College Freshmen, Observation
Mohammed Alhwaiti – International Journal of Developmental Disabilities, 2024
The aim was to investigate the mediating role of emotional regulation and emotional expression in the relationship between autistic traits and empathy in Saudi students. Participants were undergraduate students at Umm Al-Qura University. A total of 398 questionnaires were sent out, and 260 valid questionnaires were received. Descriptive statistics…
Descriptors: Foreign Countries, Undergraduate Students, Emotional Response, Self Control
Posmik, Daniel C. – Journal of Student Financial Aid, 2022
Since the fall semester of 2016, first-time international student enrollment (ISE[subscript ft]) has declined at U.S. colleges and universities. This trend disrupts a steady upwards trajectory of ISE[subscript ft] rates. Previous research has demonstrated that various political, social, and macroeconomic factors influence the number of…
Descriptors: College Students, Foreign Students, Enrollment Trends, Declining Enrollment
Reza Zabihi; Shiva Ghominejad; Mohammad Javad Ahmadian – Language Teaching Research, 2024
This study aimed to investigate whether and how willingness to communicate, communication in English anxiety, behavioural inhibition and action predict perceived second language (L2) fluency. The study also looked at whether L2 proficiency moderates the strength of relationships between these affective factors and L2 perceived fluency. One hundred…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
Cabero-Almenara, Julio; Gutiérrez-Castillo, Juan Jesús; Guillén-Gámez, Francisco D.; Gaete-Bravo, Alejandra F. – Technology, Knowledge and Learning, 2023
The purpose of the present study is to analyze the digital competence of Higher Education students, as a function of their academic performance (have either repeated or a not previously), as well as to predict its significant predictors. For this, an ex-post factor and a sample of 17301 students from Chile (Latin America) were utilized. A…
Descriptors: Digital Literacy, Academic Achievement, Higher Education, Predictor Variables
Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
Naccarato, Shawn L. – ProQuest LLC, 2019
A historic period of state divestment in public higher education, exacerbated by the "Great Recession" and attendant financial repercussions, has significantly altered public higher education financing. The most significant impact has been cost shift from the state to students via increasing tuition rates. These changes threaten student…
Descriptors: Predictor Variables, Alumni, Donors, Private Financial Support
Tamboer, Peter; Vorst, Harrie C. M.; Oort, Frans J. – Journal of Learning Disabilities, 2016
Two subtypes of dyslexia (phonological, visual) have been under debate in various studies. However, the number of symptoms of dyslexia described in the literature exceeds the number of subtypes, and underlying relations remain unclear. We investigated underlying cognitive features of dyslexia with exploratory and confirmatory factor analyses. A…
Descriptors: Dyslexia, Correlation, Factor Analysis, College Freshmen
Sen, Senol; Yilmaz, Ayhan – Science Education International, 2016
The objective of this study is to analyze the relationship between preservice teachers' time and study environment management, effort regulation, self-efficacy beliefs, control of learning beliefs and metacognitive self-regulation. This study also investigates the direct and indirect effects of metacognitive self-regulation on time and study…
Descriptors: Structural Equation Models, Preservice Teachers, Self Efficacy, Self Control
The Relationship between Students' Small Group Activities, Time Spent on Self-Study, and Achievement
Kamp, Rachelle J. A.; Dolmans, Diana H. J. M.; van Berkel, Henk J. M.; Schmidt, Henk G. – Higher Education: The International Journal of Higher Education and Educational Planning, 2012
The purpose of this study was to investigate the relationship between the contributions students make to the problem-based tutorial group process as observed by their peers, self-study time and achievement. To that end, the Maastricht Peer Activity Rating Scale was administered to students participating in Problem-Based Learning tutorial groups.…
Descriptors: Group Activities, Problem Based Learning, Rating Scales, Peer Evaluation
Garrison, D. R.; Cleveland-Innes, Martha; Fung, Tak Shing – Internet and Higher Education, 2010
The causal relationships among the three presences in the Community of Inquiry (CoI) framework are explored and tested in this paper. The CoI framework has been used extensively in the research and practice of online and blended learning contexts. With the development of a survey instrument based on the CoI framework, it is possible to test the…
Descriptors: Causal Models, Factor Structure, Computer Mediated Communication, Communities of Practice
Meyer, Katrina A.; Xu, Yonghong Jade – Journal of Asynchronous Learning Networks, 2009
Based on earlier studies using the 1999 and 2004 National Study of Postsecondary Faculty (NSOPF) data [1, 2], a causal model explaining faculty technology use was constructed. Path analysis was used to test the causal effects of age, gender, highest degree, discipline (health science or not), recent research productivity, and teaching load on…
Descriptors: College Instruction, Intellectual Disciplines, Causal Models, Teaching Load
Sun, Xiaogeng; Hoffman, Sharon C.; Grady, Marilyn L. – International Journal of Educational Advancement, 2007
Despite readily available alumni survey data warehoused at many alumni associations and foundations across colleges and universities, researchers have underutilized the abundant available data to identify key predictors of alumni donation, including factors that trigger alumni donation behavior. Utilizing the data from a two-year alumni survey…
Descriptors: Causal Models, Alumni, Gender Differences, Age Differences
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers