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Yeung, Alexander Seeshing; McInerney, Dennis M.; Ali, Jinnat – Educational Psychology, 2014
Students' motivation is known to be influenced by both internally referenced and externally referenced factors. Internally referenced factors include self-processes (sense of competence and affect), whereas externally referenced factors include significant others (parents, peers and teachers). Using the Facilitating Conditions Questionnaire, the…
Descriptors: Foreign Countries, Asians, Student Motivation, White Students
Savalei, Victoria – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Incomplete nonnormal data are common occurrences in applied research. Although these 2 problems are often dealt with separately by methodologists, they often cooccur. Very little has been written about statistics appropriate for evaluating models with such data. This article extends several existing statistics for complete nonnormal data to…
Descriptors: Sample Size, Statistics, Data, Monte Carlo Methods
Landsheer, J. A. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Tetrad IV is a program designed for the specification of causal models. It is specifically designed to search for causal relations, but also offers the possibility to estimate the parameters of a structural equation model. It offers a remarkable graphical user interface, which facilitates building, evaluating, and searching for causal models. The…
Descriptors: Structural Equation Models, Causal Models, Evaluation, Mathematics
Mooijaart, Ab; Bentler, Peter M. – Structural Equation Modeling: A Multidisciplinary Journal, 2010
In the last decades there has been an increasing interest in nonlinear latent variable models. Since the seminal paper of Kenny and Judd, several methods have been proposed for dealing with these kinds of models. This article introduces an alternative approach. The methodology involves fitting some third-order moments in addition to the means and…
Descriptors: Computation, Statistical Analysis, Structural Equation Models, Maximum Likelihood Statistics
Houle, Philip A.; Reed, Diana; Vaughan, Amy Grace; Clayton, Suzanne R. – Journal of Learning in Higher Education, 2013
This study examined the reasons why students choose to take laptop computers into college classes. The model involved the individual student choice involving opportunity, ability and motivation. The resulting model demonstrated how some (primary) factors, such as effective learning, directly impact the laptop usage choice, and other factors…
Descriptors: Laptop Computers, Student Motivation, Internet, Access to Information
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
Olson, Mark E. – ProQuest LLC, 2013
In this study, the researcher sought to determine whether Nebraska teachers and administrators agreed about what constitutes sound grading practice. The results of this study indicated that Nebraska teachers and administrators working in public schools in 7th-12th grade settings did not always agree about what constituted sound grading practice.…
Descriptors: Teacher Attitudes, Administrator Attitudes, Grading, Public Schools
Hayes, Hanna Bea – ProQuest LLC, 2012
Many researchers have examined the effect of formal mentoring on job satisfaction and organizational commitment. However, there has been little or no focus on an employee's intent to participate in a formal mentoring program based upon an employee's perceived organizational support, and/or affective reaction (job satisfaction and…
Descriptors: Mentors, Intention, Employees, Affective Behavior
Yuan, Ke-Hai – Psychometrika, 2009
When data are not missing at random (NMAR), maximum likelihood (ML) procedure will not generate consistent parameter estimates unless the missing data mechanism is correctly modeled. Understanding NMAR mechanism in a data set would allow one to better use the ML methodology. A survey or questionnaire may contain many items; certain items may be…
Descriptors: Structural Equation Models, Effect Size, Data, Maximum Likelihood Statistics
Martin, Andrew J.; Papworth, Brad; Ginns, Paul; Liem, Gregory Arief D. – American Educational Research Journal, 2014
Boarding school has been a feature of education systems for centuries. Minimal large-scale quantitative data have been collected to examine its association with important educational and other outcomes. The present study represents one of the largest studies into boarding school conducted to date. It investigates boarding school and students'…
Descriptors: Boarding Schools, Academic Achievement, Foreign Countries, Well Being
Teo, Timothy – European Journal of Educational Research, 2012
The purpose of this study is to examine the pre-service teachers' attitudes toward computers use. The impact of five variables (perceived usefulness, perceived ease of use, subjective norm, facilitating conditions, and technological complexity) on attitude towards computer was assessed. Data were collected from 230 preservice teachers through…
Descriptors: Preservice Teachers, Student Attitudes, Computer Use, Measurement Techniques
Chang, Chen-Chi; Jong, Ay; Huang, Fu-Chang – Journal of Educational Computing Research, 2012
Students acquire skills in problem solving and critical thinking through the process as well as team work on problem-based learning courses. Many courses have started to involve the online learning environment and integrate these courses with electronic resources. Teachers use electronic resources in their classes. To overcome the problem of the…
Descriptors: Educational Resources, Structural Equation Models, Problem Based Learning, Internet
Leite, Walter L.; Sandbach, Robert; Jin, Rong; MacInnes, Jann W.; Jackman, M. Grace-Anne – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Because random assignment is not possible in observational studies, estimates of treatment effects might be biased due to selection on observable and unobservable variables. To strengthen causal inference in longitudinal observational studies of multiple treatments, we present 4 latent growth models for propensity score matched groups, and…
Descriptors: Structural Equation Models, Probability, Computation, Observation
Cigdem, Harun; Oncu, Semiral – EURASIA Journal of Mathematics, Science & Technology Education, 2015
This survey study examines an assessment methodology through e-quizzes administered at a military vocational college and subsequent student perceptions in spring 2013 at the "Computer Networks" course. A total of 30 Computer Technologies and 261 Electronic and Communication Technologies students took three e-quizzes. Data were gathered…
Descriptors: Foreign Countries, Military Schools, Military Training, Vocational Education
Loera, Gustavo; Nakamoto, Jonathan; Rueda, Robert; Oh, Youn Joo; Beck, Cindy; Cherry, Carla – Career and Technical Education Research, 2013
The social and collaborative aspects of work settings are becoming increasingly important. For example, recent research has placed emphasis on the social nature of learning. In addition, many authors have suggested that 21st century skills that will be required in future work and professional environments will involve collaborative skills, making…
Descriptors: Health Sciences, Collegiality, Secondary School Teachers, Vocational Education Teachers

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