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Bianconcini, Silvia – Multivariate Behavioral Research, 2012
In the SEM literature, simplex and latent growth models have always been considered competing approaches for the analysis of longitudinal data, even if they are strongly connected and both of specific importance. General dynamic models, which simultaneously estimate autoregressive structures and latent curves, have been recently proposed in the…
Descriptors: Structural Equation Models, Longitudinal Studies, Academic Achievement, Higher Education
McGrath, Robert E.; Walters, Glenn D. – Psychological Methods, 2012
Statistical analyses investigating latent structure can be divided into those that estimate structural model parameters and those that detect the structural model type. The most basic distinction among structure types is between categorical (discrete) and dimensional (continuous) models. It is a common, and potentially misleading, practice to…
Descriptors: Factor Structure, Factor Analysis, Monte Carlo Methods, Computation
Hamilton, John; Tee, Singwhat – Computers & Education, 2010
This empirical research surveys first year tertiary business students across different campuses regarding their perceived views concerning traditional, blended and flexible instructional approaches. A structural equation modeling approach shows traditional instructional modes deliver lower levels of student-perceived learning quality, learning…
Descriptors: Structural Equation Models, Learning Experience, Teaching Methods, Higher Education
Brown, Robert M.; Mazzarol, Timothy William – Higher Education: The International Journal of Higher Education and Educational Planning, 2009
This paper outlines the findings of a study employing a partial least squares (PLS) structural equation methodology to test a customer satisfaction model of the drivers of student satisfaction and loyalty in higher education settings. Drawing upon a moderately large sample of students enrolled in four "types" of Australian universities,…
Descriptors: Higher Education, Structural Equation Models, Least Squares Statistics, Student Attitudes
Bastedo, Michael N.; Bowman, Nicholas A. – American Journal of Education, 2010
Processes of certification and evaluation are some of the most powerful institutional forces in organizational fields, and in the higher education field, rankings are a primary factor in assessing organizational performance. This article explores the institutional effects of the "U.S. News & World Report" undergraduate rankings on the reputational…
Descriptors: Higher Education, Structural Equation Models, Reputation, Liberal Arts
Simsek, Gulhayat Golbasi; Noyan, Fatma – Hacettepe University Journal of Education, 2009
Social sciences research often entails the analysis of data with a multilevel structure. An example of multilevel data is containing measurement on university students nested within instructors. This paper concentrates on multilevel analysis of structural equation modeling with educational data. Data used in this study were gathered from 17647…
Descriptors: Structural Equation Models, Social Sciences, Foreign Countries, Instructional Effectiveness
Loyens, Sofie M. M.; Rikers, Remy M. J. P.; Schmidt, Henk G. – Instructional Science: An International Journal of the Learning Sciences, 2008
The present study investigated relationships between students' conceptions of constructivist learning on the one hand, and their regulation and processing strategies on the other hand. Students in a constructivist, problem-based learning curriculum were questioned about their conceptions of knowledge construction and self-regulated learning, as…
Descriptors: Constructivism (Learning), Educational Psychology, Learning Strategies, Problem Based Learning
Lu, Eric Y.; Ma, Hongyan; Turner, Sandra; Huang, Wayne – Computers & Education, 2007
Wireless Internet technology is gaining a foothold on more and more campuses, yet few studies have investigated how wireless Internet supports and enhances a student-centered learning environment. This study seeks to fill the gap by developing an instrument to measure how wireless Internet supports student-centered learning. A web survey was…
Descriptors: Educational Environment, Structural Equation Models, Internet, Telecommunications
Kember, David; Leung, Doris Y. P.; Ma, Rosa S. F. – Research in Higher Education, 2007
There has been wide recognition that today's graduates need the type of generic capabilities necessary for lifelong learning. However, the mechanism by which universities can develop these generic skills is not clearly established. This study aimed to investigate the mechanism for their development. Structural equation modeling (SEM) was used to…
Descriptors: Structural Equation Models, Focus Groups, Lifelong Learning, Learning Processes
Arbaugh, J. B.; Hwang, Alvin – Internet and Higher Education, 2006
This paper assesses the construct validity of the dimensions of teaching presence, one of three types of presence articulated in Garrison, Anderson, and Archer's [Garrison, D.R., Anderson, T., and Archer, W. (2000). "Critical inquiry in a text-based environment: Computer conferencing in higher education." "The Internet and higher education", 2,…
Descriptors: Business Administration Education, Administrator Education, Higher Education, Online Courses

Pike, Gary R. – Review of Higher Education, 1992
A study at the University of Tennessee Knoxville used mixed-effect structural equation models incorporating latent variables as an alternative to conventional methods of analyzing college students' (n=722) first-year-to-senior academic gains. Results indicate, contrary to previous analysis, that coursework and student characteristics interact to…
Descriptors: Academic Achievement, Achievement Gains, College Students, Higher Education
College Persistence: Structural Equations Modeling Test of an Integrated Model of Student Retention.

Cabrera, Alberto F.; And Others – Journal of Higher Education, 1993
A study integrated the major propositions of 2 theories of college persistence (Tinto's and Bean's) and used the resulting framework to survey a population of 466 first-year college students at 1 university. Findings supported most of the hypothesized links between the models and revealed a complex role for environmental factors in retention.…
Descriptors: Academic Persistence, College Environment, College Freshmen, College Students
van der Veen, Ineke; Jong, Uulkje De; Leeuwen, Marko Van; Korteweg, Jaap Anne – Studies in Higher Education, 2005
Higher education students interest in their subject has been found to clearly decrease during the first year of their studies in the Netherlands. This decrease is much smaller for students in the second year, and even turns into an increase in higher years. The loss of interest after enrolment in higher education has also been found in…
Descriptors: Foreign Countries, Higher Education, Secondary Education, Professional Education
Drew, Po Yin; Watkins, David – 1997
This study investigates the interrelationships of academic causal attributions, academic self-concept, learning approaches, and their effects on academic achievement among Hong Kong Chinese tertiary students. It was hypothesized that academic causal attributions and academic self-concept affect the learning approaches students adopt and…
Descriptors: Academic Achievement, Affective Behavior, Causal Models, College Students
Heck, Ronald H.; Takahashi, Robin – Educational Policy, 2006
The intersection of athletics and academics is legitimized through eligibility rules, which provide standards that bind commercial athletics to the educational purposes of higher education. To compete in intercollegiate athletics, freshman student athletes must meet the initial academic eligibility criteria set by the National Collegiate Athletic…
Descriptors: Graduation Rate, Team Sports, Educational Objectives, Higher Education
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