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Ghasemy, Majid; Elwood, James A.; Nejad, Mansoureh Roshan – Journal of Higher Education Outreach and Engagement, 2021
Although servant leadership is practiced in higher education (HE), most literature on servant leadership has utilized samples with diverse occupational backgrounds and applied single-level analytic approaches. Recognizing the association between servant leadership and community citizenship behavior, our study investigated the factorial validity of…
Descriptors: Leadership, Models, Higher Education, School Community Relationship
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Findik-Coskunçay, Duygu; Alkis, Nurcan; Özkan-Yildirim, Sevgi – Educational Technology & Society, 2018
With the recent advances in information technologies, Learning Management Systems have taken on a significant role in providing educational resources. The successful use of these systems in higher education is important for the implementation, management and continuous improvement of e-learning services to increase the quality of learning. This…
Descriptors: Integrated Learning Systems, Foreign Countries, Technology Uses in Education, Structural Equation Models
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Rathwell, Scott; Young, Bradley W. – Measurement in Physical Education and Exercise Science, 2016
Limited tools assess positive development through university sport. Such a tool was validated in this investigation using two independent samples of Canadian university athletes. In Study 1, 605 athletes completed 99 survey items drawn from the Youth Experience Scale (YES 2.0), and separate a priori measurement models were evaluated (i.e., 99…
Descriptors: Factor Analysis, Structural Equation Models, College Athletics, Athletes
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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
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Chan, Kevin; Cheung, George; Wan, Kelvin; Brown, Ian; Luk, Green – Electronic Journal of e-Learning, 2015
In understanding how active and blended learning approaches with learning technologies engagement in undergraduate education, current research models tend to undermine the effect of learners' variations, particularly regarding their styles and approaches to learning, on intention and use of learning technologies. This study contributes to further…
Descriptors: Active Learning, Technology Integration, Higher Education, Undergraduate Students
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Lombardi, Allison R.; Conley, David T.; Seburn, Mary A.; Downs, Andrew M. – Assessment for Effective Intervention, 2013
In this study, the authors examined the psychometric properties of the key cognitive strategies (KCS) within the CollegeCareerReady[TM] School Diagnostic, a self-report measure of critical thinking skills intended for high school students. Using a cross-validation approach, an exploratory factor analysis was conducted with a randomly selected…
Descriptors: Factor Analysis, Thinking Skills, Accuracy, Validity
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Fryer, Luke K.; Ginns, Paul; Walker, Richard A.; Nakao, Kaori – British Journal of Educational Psychology, 2012
Background: Student learning theory (SLT) has established associations between students' approaches to learning and their perceptions of the learning environment. SLT may provide a useful framework for researching student learning within the Japanese tertiary sector. Aims: The study aims to explore and validate the Course Experience Questionnaire…
Descriptors: Factor Analysis, Teaching Methods, Measures (Individuals), Learning Theories
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Taasoobshirazi, Gita; Farley, John – Learning and Individual Differences, 2013
A model of expertise in physics problem solving was tested on undergraduate science, physics, and engineering majors enrolled in an introductory-level physics course. Structural equation modeling was used to test hypothesized relationships among variables linked to expertise in physics problem solving including motivation, metacognitive planning,…
Descriptors: Factor Analysis, Science Achievement, Factor Structure, Structural Equation Models
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Demir, Ilkay – Educational Sciences: Theory and Practice, 2011
The aim of the present study was to test the factor structure, convergent validity, and reliability of the Functions of Identity Scale (FIS) on a Turkish college sample. FIS is a 15 item, self-report instrument consisting of five scales. In line with the original version, both the exploratory and confirmatory factor analysis revealed a five-factor…
Descriptors: Validity, Factor Structure, Measures (Individuals), Factor Analysis
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Geldhof, John; Little, Todd D.; Hawley, Patricia H. – International Journal of Behavioral Development, 2012
In this paper we present domain-specific measures of academic and social self-regulation in young adults. We base our scales on Baltes and colleagues' Selection, Optimization, and Compensation (SOC) model, and establish the factor structure of our new measures using data collected from a sample of 152 college students. We then compare the…
Descriptors: Late Adolescents, Young Adults, Factor Structure, Predictive Validity
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Duffy, Ryan D.; Diemer, Matthew A.; Jadidian, Alex – Counseling Psychologist, 2012
The present study sought to develop and validate an instrument to measure work volition, defined as the perceived capacity to make occupational choices despite constraints, among college students. In Study 1, an exploratory factor analysis was conducted with a large and diverse sample of college students, finding a reliable scale with two factors,…
Descriptors: Locus of Control, College Students, Self Efficacy, Factor Analysis
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Stein, David S.; Wanstreet, Constance; Trinko, Lynn A. – Journal of Continuing Higher Education, 2011
This study identified factors associated with the decision to enroll in a higher education degree program. In the context of predicting enrollment in a workforce development credentialing program, this study identified six variables that are strongly related to the likelihood to enroll: time out of school; possibilities for intellectual, personal,…
Descriptors: Higher Education, Reputation, Distance Education, Interests
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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
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Zoghbi-Manrique-de-Lara, Pablo – Behaviour & Information Technology, 2012
While many scholars generally conceptualise cyberloafing as just one more type of conventional deviant behaviour at work, others consider this activity to be innocuous or even productive. In either case, cyberloafing is viewed as merely misusing Internet resources, without contemplating its potential online character. The purpose of this study is…
Descriptors: Foreign Countries, Higher Education, Employees, Online Searching
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Echeverri, Margarita; Brookover, Cecile; Kennedy, Kathleen – Advances in Health Sciences Education, 2011
While most of the more frequently used self-report measures of cultural competence in health professionals are targeted to practicing physicians and mental health providers from the majority-white population, no measures have been specifically developed for minority pharmacy students. With the objective to find a suitable tool to be used for…
Descriptors: Curriculum Development, Race, Racial Discrimination, Physicians
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