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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
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
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
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
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
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
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
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
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

Hong, Sehee; Malik, Mary L.; Lee, Min-Kyu – Educational and Psychological Measurement, 2003
Used latent means analysis in the framework of structural equation modeling to explore the factor structure and gender differences associated with the Personal Style Inventory (PSI; C. Robins and others, 1994) with 508 Korean undergraduates. Results support the cross-cultural stability of the PSI factor structure. Women had higher scores than men…
Descriptors: Cross Cultural Studies, Factor Structure, Foreign Countries, Higher Education

Darkes, Jack; Greenbaum, Paul E.; Goldman, Mark S. – Psychological Assessment, 1998
Used structural equation modeling to examine factor structure and predictive validity of the Disinhibition subscale of the Sensation Seeking Scales (DIS) with drinking in 1,217 undergraduates. A three-factor model provided the best fit; prediction of drinking varied with intrinsic levels of alcohol relatedness. The relationship between…
Descriptors: Alcohol Abuse, Factor Structure, Higher Education, Predictive Validity

Conroy, David E.; Metzler, Jonathan N.; Hofer, Scott M. – Structural Equation Modeling, 2003
Studied the meaning of Performance Failure Appraisal Inventory (PFAI; Conroy and others, 2002) by evaluating the comparability of PFAI factor structure over repeated assessments and the stability of the subscales over relatively brief intervals. Results for 356 college students generally show high stability for PFAI scores in long and short forms.…
Descriptors: Academic Failure, College Students, Factor Structure, Higher Education

Thompson, Bruce; Cook, Colleen; Heath, Fred – Structural Equation Modeling, 2003
Used confirmatory factor analysis to evaluate the score integrity of LibQUALl+, an instrument to measure perceptions of library service quality. Results for 60,027 graduate and undergraduate students suggest that the model implied by LibQUAL is reasonable and invariant across independent samples and fits all three major subgroups of library users.…
Descriptors: College Students, Evaluation Methods, Factor Structure, Higher Education