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Yu, Hongwei; Glanzer, Perry L.; Johnson, Byron R.; Sriram, Rishi; Moore, Brandon – Review of Higher Education, 2018
Though numerous studies have identified factors associated with academic misconduct, few have proposed conceptual models that could make sense of multiple factors. In this study, we used structural equation modeling (SEM) to test a conceptual model of five factors using data from a relatively large sample of 2,503 college students. The results…
Descriptors: College Students, Cheating, Structural Equation Models, Data Analysis
Engelschalk, Tobias; Steuer, Gabriele; Dresel, Markus – Educational Psychology, 2017
Effective regulation of motivation can be theoretically explained by both the extent of motivational regulation strategies used (quantity) and their optimal implementation (quality). Researchers have not yet analysed the significance of both aspects for learning success simultaneously. In the present study, 188 students were presented with…
Descriptors: College Students, Student Motivation, Motivation Techniques, Regression (Statistics)
Li, Wenjing; Denson, Linley A.; Dorstyn, Diana S. – International Journal for the Advancement of Counselling, 2017
This study investigated help-seeking intentions and use of mental health services within a sample of 1128 Mainland Chinese college students (630 males and 498 females; mean age = 20.01 years, SD = 1.48). Results of structural equation modeling and logistic regression analysis suggested that social-cognitive variables had significant effects both…
Descriptors: Help Seeking, Intention, College Students, Health Services
Raza, Syed Ali; Qazi, Wasim; Umer, Amna – Journal of Educational Computing Research, 2017
This study analyzes the influence of Facebook usage on building social capital among university students in Karachi by using a modified framework of technology acceptance model. Important information was gathered utilizing organized questionnaire containing items of Facebook intensity, social self-efficacy, perceived ease of use, perceived…
Descriptors: College Students, Social Capital, Social Media, Developing Nations
Akpur, Ugur – Educational Research and Reviews, 2016
The purpose of this study is to determine the explanatory and predictive relationship pattern between university students' goal orientation behaviours and their academic achievement. The study group consisted of 259 university students. A "2x2 Achievement Goal Orientations Scale" was used to determine the students' goal orientation…
Descriptors: College Students, Goal Orientation, Academic Achievement, Predictor Variables
Watjatrakul, Boonlert – Interactive Technology and Smart Education, 2016
Purpose: Individual differences and perceived values of technology have received much attention in technology adoption literature. However, there is a lack of understanding of their relationships and effects on online learning adoption. The study aims to investigate the effects of two important personality traits (i.e. openness to experience and…
Descriptors: Online Courses, Technology Uses in Education, Educational Technology, Structural Equation Models
Zhang, Haomin – Foreign Language Annals, 2016
The present study examined the role of morphological awareness in second language (L2) Chinese vocabulary acquisition through an investigation of linguistic universality and specificity underlying morphological awareness. Morphological awareness in this study was conceptualized as a universal and sharable cognitive resource as well as a…
Descriptors: Second Language Learning, Morphology (Languages), Metalinguistics, Morphemes
Baloglu, Nuri – Educational Research and Reviews, 2017
In this study, the effects of family leadership orientation on social entrepreneurship, generativity and academic education success were examined with the views of college students. The study was conducted at a state university in Central Anatolia in Turkey. 402 college students who attending at three different colleges voluntarily participated in…
Descriptors: Leadership, Entrepreneurship, Academic Achievement, College Students
Kilburn, Brandon; Kilburn, Ashley; Davis, Dexter – Contemporary Issues in Education Research, 2016
E-service quality of online higher education reflects the student's perception of quality of online exchanges across four dimensions: fulfillment, efficiency, system availability and privacy. This study links e-service quality to intentions to remain loyal as mediated by perceived value in an online higher education environment. AMOS is used to…
Descriptors: Higher Education, Student Attitudes, Online Surveys, Online Systems
Jonker, Tanya R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
When memory is tested, researchers are often interested in the items that were correctly recalled or recognized, while ignoring or factoring out trials where one "recalls" or "recognizes" a nonstudied item. However, intrusions and false alarms are more than nuisance data and can provide key insights into the memory system. The…
Descriptors: Individual Differences, Recall (Psychology), Test Items, Semantics
Pekrun, Reinhard; Hall, Nathan C.; Goetz, Thomas; Perry, Raymond P. – Journal of Educational Psychology, 2014
A theoretical model linking boredom and academic achievement is proposed. Based on Pekrun's (2006) control-value theory of achievement emotions, the model posits that boredom and achievement reciprocally influence each other over time. Data from a longitudinal study with college students (N = 424) were used to examine the hypothesized effects. The…
Descriptors: Psychological Patterns, Academic Achievement, Causal Models, College Students
Mammadov, Sakhavat; Ward, Thomas J.; Cross, Jennifer Riedl; Cross, Tracy L. – Roeper Review, 2016
To date, in gifted education and related fields various conventional factor analytic and clustering techniques have been used extensively for investigation of the underlying structure of data. Latent profile analysis is a relatively new method in the field. In this article, we provide an introduction to latent profile analysis for gifted education…
Descriptors: Statistical Analysis, Academically Gifted, Factor Analysis, Multivariate Analysis
Johnson, Joel D.; Starobin, Soko S.; Santos Laanan, Frankie – Community College Journal of Research and Practice, 2016
This study confirmed appropriate measurement model fit for a theoretical model, the STEM (science, technology, engineering, and mathematics) vocational choice (STEM-VC) model. This model identified factors that successfully predicted a student's vocational choice decision to pursue a STEM degree for Latina/o and White community college students.…
Descriptors: Predictor Variables, Hispanic American Students, College Students, Two Year College Students
Kamau, Caroline; Spong, Abigail – Studies in Higher Education, 2015
Faulty group processes have harmful effects on performance but there is little research about intervention protocols to pre-empt them in higher education. This naturalistic experiment compared a control cohort with an inducted cohort. The inducted cohort attended a workshop, consultations, elected a leader and used tools (a group log and group…
Descriptors: Foreign Countries, Teamwork, Protocol Analysis, Cohort Analysis
Yang, Hsi-Hsun; Su, Chung-Ho – International Review of Research in Open and Distributed Learning, 2017
Few practice-oriented courses are currently integrated into online learning platforms, such as OpenCourseWare, Khan Academy, and Massive Open Online Courses (MOOCs). It is worthwhile to explore how learners respond to information technology and new teaching methods when practice-oriented course are placed online. Therefore, this study probes…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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