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Collie, Rebecca J.; Martin, Andrew J.; Curwood, Jen Scott – Educational Psychology, 2016
Given recent concerns around boys' literacy, this study examined multidimensional writing motivation and engagement among boys. We explored internal and external validity of 11 adaptive (e.g. self-efficacy for writing) and maladaptive (e.g. disengagement from writing) factors of writing motivation and engagement. The sample comprised 781 male…
Descriptors: Males, High School Students, Student Motivation, Learner Engagement
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Jensen, Rune Dall; Ljungmann, Ken; Christensen, Mette Krogh; Møldrup, Ulla; Grøndal, Anne Krogh; Mogensen, Mads Filtenborg; Seyer-Hansen, Mikkel – Journal of Education and Training Studies, 2016
To be successful, a surgeon must master a variety of skills. To meet the high demand for surgical expertise, an extracurricular undergraduate project was launched. The extracurricular project consists of hands-on laparoscopic training and a mentorship programme. The project aims to find the best surgical talents among fourth-year medical students.…
Descriptors: Talent Development, Undergraduate Students, Case Studies, Extracurricular Activities
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Kirbulut, Zubeyde Demet; Uzuntiryaki-Kondakci, Esen; Beeth, Michael Edward – International Journal of Science Education, 2016
This study aimed to develop the Metaconceptual Awareness and Regulation Scale (MARS) -- a self-report instrument for measuring the extent to which students realise, monitor, and evaluate their ideas. MARS consists of 10 items scored on a six-point Likert scale for two factors: metaconceptual awareness and metaconceptual regulation. A pilot study…
Descriptors: Metacognition, Test Construction, Likert Scales, Attitude Measures
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Cuervo, Angel Alberto Valdés; Escobedo, Pedro Antonio Sánchez; Nenninger, Etty Haydeé Estévez; Zuñiga, Silvia Patricia Aquino – International Journal of Higher Education, 2016
In our research we examined the the relationship between the perception of scientific skills acquisition in Mexican graduate students with their awareness of scientific competences considered in the curriculum, mentoring practices and availability of institutional resources for conducting research. The study involved a conventional sample of 147…
Descriptors: Mexicans, Graduate Students, Scientific Concepts, Science Process Skills
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Fosco, Gregory M.; Van Ryzin, Mark J.; Xia, Mengya; Feinberg, Mark E. – Developmental Psychology, 2016
The formation and maintenance of young adult romantic relationships that are free from violence and are characterized by love, connection, and effective problem-solving have important implications for later well-being and family functioning. In this study, we examined adolescent hostile-aggressive behavior (HAB) and family relationship quality as…
Descriptors: Aggression, Family Environment, Intimacy, Adolescents
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Sicilia, Álvaro; Sáenz-Alvarez, Piedad; González-Cutre, David; Ferriz, Roberto – Research Quarterly for Exercise and Sport, 2016
Purpose: Based on self-determination theory, the purpose of this study was to analyze the relationship between social physique anxiety and intention to be physically active, while taking into account the mediating effects of the basic psychological needs and behavioral regulations in exercise. Method: Having obtained parents' prior consent, 390…
Descriptors: Self Determination, Human Body, Social Influences, Anxiety
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Sproesser, Ute; Engel, Joachim; Kuntze, Sebastian – Statistics Education Research Journal, 2016
Supporting motivational variables such as self-concept or interest is an important goal of schooling as they relate to learning and achievement. In this study, we investigated whether specific interest and self-concept related to the domains of statistics and mathematics can be fostered through a four-lesson intervention focusing on statistics.…
Descriptors: Self Concept, Statistics, Student Interests, Student Motivation
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Lee, Christine S.; Hayes, Kathryn N.; Seitz, Jeffery; DiStefano, Rachelle; O'Connor, Dawn – International Journal of Science Education, 2016
Middle school has been documented as the period in which a drop in students' science interest and achievement occurs. This trend indicates a lack of motivation for learning science; however, little is known about how different aspects of motivation interact with student engagement and science learning outcomes. This study examines the…
Descriptors: Middle School Students, Science Instruction, Student Motivation, Science Interests
Custer, Michael; Sharairi, Sid; Swift, David – Online Submission, 2012
This paper utilized the Rasch model and Joint Maximum Likelihood Estimation to study different scoring options for omitted and not-reached items. Three scoring treatments were studied. The first method treated omitted and not-reached items as "ignorable/blank". The second treatment, scored omits as incorrect with "0" and left not-reached as blank…
Descriptors: Scoring, Test Items, Item Response Theory, Maximum Likelihood Statistics
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Paek, Insu – Journal of Educational Measurement, 2012
Although logistic regression became one of the well-known methods in detecting differential item functioning (DIF), its three statistical tests, the Wald, likelihood ratio (LR), and score tests, which are readily available under the maximum likelihood, do not seem to be consistently distinguished in DIF literature. This paper provides a clarifying…
Descriptors: Test Bias, Tests, Maximum Likelihood Statistics, Statistical Analysis
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Petersen, Janne; Bandeen-Roche, Karen; Budtz-Jorgensen, Esben; Larsen, Klaus Groes – Psychometrika, 2012
Latent class regression models relate covariates and latent constructs such as psychiatric disorders. Though full maximum likelihood estimation is available, estimation is often in three steps: (i) a latent class model is fitted without covariates; (ii) latent class scores are predicted; and (iii) the scores are regressed on covariates. We propose…
Descriptors: Computation, Prediction, Regression (Statistics), Maximum Likelihood Statistics
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Savalei, Victoria; Rhemtulla, Mijke – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Fraction of missing information [lambda][subscript j] is a useful measure of the impact of missing data on the quality of estimation of a particular parameter. This measure can be computed for all parameters in the model, and it communicates the relative loss of efficiency in the estimation of a particular parameter due to missing data. It has…
Descriptors: Computation, Structural Equation Models, Maximum Likelihood Statistics, Data
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Birkeland, Kathryn; Weinandt, Mandie; Carr, David L. – Journal of Learning in Higher Education, 2015
This study looks at the performance of students in an online and face-to-face section of economic principles with the same instructor. After controlling for the bias of students selecting the online section and observable characteristics, we did not find any statistical difference in the exam performance of students across delivery modes of the…
Descriptors: Outcomes of Education, Online Courses, Web Based Instruction, Conventional Instruction
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Isik, Ayse Negis; Derinbay, Deniz – Eurasian Journal of Educational Research, 2015
Problem Statement: Principals are known as important actors in effective schools. So it is important to know which variables influence principals' success. One of these predictors can be self-efficacy. However, there is very few research about principals' sense of efficacy. Purpose of the Study: The purpose of this research was to test the…
Descriptors: Principals, Measures (Individuals), Self Efficacy, Psychometrics
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van de Sande, Brett – Journal of Educational Data Mining, 2013
Bayesian Knowledge Tracing is used very widely to model student learning. It comes in two different forms: The first form is the Bayesian Knowledge Tracing "hidden Markov model" which predicts the probability of correct application of a skill as a function of the number of previous opportunities to apply that skill and the model…
Descriptors: Bayesian Statistics, Markov Processes, Student Evaluation, Probability
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