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Showing 1 to 15 of 26 results Save | Export
Liu, Haiyan; Jin, Ick Hoon; Zhang, Zhiyong – Grantee Submission, 2018
Psychologists are interested in whether friends and couples share similar personalities or not. However, no statistical models are readily available to test the association between personalities and social relations in the literature. In this study, we develop a statistical model for analyzing social network data with the latent personality traits…
Descriptors: Structural Equation Models, Social Networks, Personality Traits, Statistical Analysis
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Wang, Chih-hsuan; Harrison, Jamie; Cardullo, Victoria; Lin, Xi – Journal of International Students, 2018
One of the major challenges for international students to pursue academic goals in the United States is English language proficiency, which often negatively affects academic success. Even students with confidence in their English language proficiency encounter challenges using English in class. Previous research indicates self-efficacy positively…
Descriptors: Foreign Students, English Language Learners, Language Proficiency, Self Efficacy
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De Bondt, Niki; Van Petegem, Peter – High Ability Studies, 2017
The aim of this study is to investigate interrelationships between overexcitability and learning patterns from the perspective of personality development according to Dabrowski's theory of positive disintegration. To this end, Bayesian structural equation modeling (BSEM) is applied which allows for the simultaneous inclusion in the measurement…
Descriptors: Psychological Patterns, Structural Equation Models, Bayesian Statistics, College Students
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Caffrey, Kathleen S.; Wright, Bruce R.; Maarhuis, Patricia L. – Journal of American College Health, 2018
Objective: To examine the psychometric properties of a measure of cannabis-specific Protective Behavioral Strategies (PBS), which assesses ways in which students may reduce cannabis-related risk. Participants: Respondents to the American College Health Association-National College Health Assessment II (N = 580) during Spring 2015. Methods:…
Descriptors: Marijuana, Risk, Factor Analysis, College Students
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Fryer, Luke K.; Ginns, Paul; Howarth, Mark; Anderson, Charles; Ozono, Shuichi – Educational Psychology, 2018
Individual differences are theorised as being key predictors of students' lecture attendance. Understanding students' (lack of) motivation for studying is an essential first step in supporting these individual differences and potentially increasing class/lecture attendance. The current study explored the role of students' deficits in motivations…
Descriptors: Attendance, Individual Differences, Student Motivation, Self Concept
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Wolgast, Anett; Schwinger, Malte; Hahnel, Carolin; Stiensmeier-Pelster, Joachim – Electronic Journal of Research in Educational Psychology, 2017
Introduction: Multiple imputation (MI) is one of the most highly recommended methods for replacing missing values in research data. The scope of this paper is to demonstrate missing data handling in SEM by analyzing two modified data examples from educational psychology, and to give practical recommendations for applied researchers. Method: We…
Descriptors: Structural Equation Models, Replication (Evaluation), Educational Psychology, Self Concept
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Kennedy, Shannon M.; Stephens, Dionne P. – Hispanic Journal of Behavioral Sciences, 2017
Prior research has shown that college women in the United States are experiencing significantly high rates of verbal aggression (VA); approximately 20% to 30% of college women experience VA in their intimate relationships. Research has shown that familial conflict experiences directly influence these outcomes. Unfortunately, studies focusing on…
Descriptors: Hispanic American Students, College Students, Conflict Resolution, Verbal Communication
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Bergee, Martin J. – Journal of Research in Music Education, 2015
This study used exploratory (EFA) and confirmatory factor analysis (CFA) to verify a theoretical structure for high school concert band performance and to test that structure for viability, generality, and invariance. A total of 101 university students enrolled in two different bands rated two high school band performances (a "first"…
Descriptors: High School Students, Musical Instruments, Music Activities, Factor Analysis
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Liu, Liangxing – English Language Teaching, 2016
This study mainly investigates the motivational characteristics of Chinese college students learning English for Specific Purposes (ESP). By critically examining and comparing Gardner's (1985) Integrative-Instrumental model and the Self-determination Theory (SDT) by Deci and Ryan(1985), the researcher finds out that the latter one is more…
Descriptors: College Students, Foreign Countries, Student Motivation, English for Special Purposes
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Tarhini, Ali; Masa'deh, Ra'ed; Al-Busaidi, Kamla Ali; Mohammed, Ashraf Bany; Maqableh, Mahmoud – Journal of International Education in Business, 2017
Purpose: This research aims to examine the factors that may hinder or enable the adoption of e-learning systems by university students. Design/methodology/approach: A conceptual framework was developed through extending the unified theory of acceptance and use of technology (performance expectancy, effort expectancy, hedonic motivation, habit,…
Descriptors: Structural Equation Models, Electronic Learning, Performance Factors, Technology Uses in Education
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Rejón-Guardia, Francisco; Sánchez-Fernández, Juan; Muñoz-Leiva, Francisco – Journal of Technology and Science Education, 2013
Microblogging social networks (µBSNs) provide the opportunity to communicate worldwide while using a small number of characters; this is an apparent limitation that forces users to share only essential information when linking to the world with which they interact. These platforms can serve to motivate students by narrowing the physical and…
Descriptors: Models, Learning Processes, Electronic Publishing, Social Networks
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Wetzel, Eunike; Hell, Benedikt – Journal of Psychoeducational Assessment, 2014
Vocational interest inventories are commonly analyzed using a unidimensional approach, that is, each subscale is analyzed separately. However, the theories on which these inventories are based often postulate specific relationships between the interest traits. This article presents a multidimensional approach to the analysis of vocational interest…
Descriptors: Item Response Theory, Models, Vocational Interests, Interest Inventories
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Arslan, Fethi – Educational Research and Reviews, 2016
The purpose of this study is to investigate the differences in anger traits of university students and teacher candidates studying in various social and cultural regions, of Batman and Denizli, Turkey. Modelling anger and anger expression style scale according to some variables such as age, gender, education level, number of siblings, parents'…
Descriptors: Foreign Countries, Psychological Patterns, Personality Measures, College Students
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Varriale, Roberta; Vermunt, Jeroen K. – Multivariate Behavioral Research, 2012
Factor analysis is a statistical method for describing the associations among sets of observed variables in terms of a small number of underlying continuous latent variables. Various authors have proposed multilevel extensions of the factor model for the analysis of data sets with a hierarchical structure. These Multilevel Factor Models (MFMs)…
Descriptors: Factor Analysis, Models, Statistical Analysis, Maximum Likelihood Statistics
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Senko, Corwin; Tropiano, Katie L. – Journal of Educational Psychology, 2016
Achievement goal theory (Dweck, 1986) initially characterized mastery goals and performance goals as opposites in a good-bad dualism of student motivation. A later revision (Harackiewicz, Barron, & Elliot, 1998) contended that both goals can provide benefits and be pursued together. Perhaps both frameworks are correct: Their contrasting views…
Descriptors: Comparative Analysis, Goal Orientation, Guidelines, Outcomes of Education
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