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Uto, Masaki; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2016
As an assessment method based on a constructivist approach, peer assessment has become popular in recent years. However, in peer assessment, a problem remains that reliability depends on the rater characteristics. For this reason, some item response models that incorporate rater parameters have been proposed. Those models are expected to improve…
Descriptors: Item Response Theory, Peer Evaluation, Bayesian Statistics, Simulation
McNeish, Daniel M. – Journal of Educational and Behavioral Statistics, 2016
Mixed-effects models (MEMs) and latent growth models (LGMs) are often considered interchangeable save the discipline-specific nomenclature. Software implementations of these models, however, are not interchangeable, particularly with small sample sizes. Restricted maximum likelihood estimation that mitigates small sample bias in MEMs has not been…
Descriptors: Models, Statistical Analysis, Hierarchical Linear Modeling, Sample Size
Adkins, Michael; Noyes, Andrew – British Educational Research Journal, 2016
In the late 1990s, the economic return to Advanced level (A-level) mathematics was examined. The analysis was based upon a series of log-linear models of earnings in the 1958 National Child Development Survey (NCDS) and the National Survey of 1980 Graduates and Diplomates. The core finding was that A-level mathematics had a unique earnings premium…
Descriptors: Mathematics Education, Relevance (Education), High Schools, Secondary School Mathematics
Smith, Andrea D.; Herle, Moritz; Fildes, Alison; Cooke, Lucy; Steinsbekk, Silje; Llewellyn, Clare H. – Journal of Child Psychology and Psychiatry, 2017
Background: "Food fussiness" (FF) is the tendency to be highly selective about which foods one is willing to eat, and emerges in early childhood; "food neophobia" (FN) is a closely related characteristic but specifically refers to rejection of unfamiliar food. These behaviors are associated, but the extent to which their…
Descriptors: Food, Fear, Genetics, Environmental Influences
Perez-Encinas, Adriana; Rodriguez-Pomeda, Jesus; Josek, Mikuláš – Journal of International Students, 2017
The growing numbers of mobile students over the years made the provision of student services a key topic of interest for higher education institutions. In order to offer a better experience for international students, it is important to be aware of and assess their needs in relation to different sets of support services. The data used in this…
Descriptors: Student Mobility, Academic Support Services, Foreign Students, Electronic Learning
National Centre for Vocational Education Research (NCVER), 2017
This publication provides a summary of data relating to students, programs, subjects and training providers in Australia's government-funded vocational education and training (VET) system (defined as Commonwealth and state/territory government-funded training). Data for the Government-funded students and courses series are received by the National…
Descriptors: Foreign Countries, Vocational Education, School Statistics, Federal Programs
Can, Seda; van de Schoot, Rens; Hox, Joop – Educational and Psychological Measurement, 2015
Because variables may be correlated in the social and behavioral sciences, multicollinearity might be problematic. This study investigates the effect of collinearity manipulated in within and between levels of a two-level confirmatory factor analysis by Monte Carlo simulation. Furthermore, the influence of the size of the intraclass correlation…
Descriptors: Factor Analysis, Comparative Analysis, Maximum Likelihood Statistics, Bayesian Statistics
Beheshti, Behzad; Desmarais, Michel C. – International Educational Data Mining Society, 2015
This study investigates the issue of the goodness of fit of different skills assessment models using both synthetic and real data. Synthetic data is generated from the different skills assessment models. The results show wide differences of performances between the skills assessment models over synthetic data sets. The set of relative performances…
Descriptors: Goodness of Fit, Student Evaluation, Skills, Models
Tang, Steven; Gogel, Hannah; McBride, Elizabeth; Pardos, Zachary A. – International Educational Data Mining Society, 2015
Online adaptive tutoring systems are increasingly being used in classrooms as a way to provide guided learning for students. Such tutors have the potential to provide tailored feedback based on specific student needs and misunderstandings. Bayesian knowledge tracing (BKT) is used to model student knowledge when knowledge is assumed to be changing…
Descriptors: Intelligent Tutoring Systems, Difficulty Level, Bayesian Statistics, Models
Rouder, Jeffrey N.; Morey, Richard D.; Province, Jordan M. – Psychological Bulletin, 2013
Psi phenomena, such as mental telepathy, precognition, and clairvoyance, have garnered much recent attention. We reassess the evidence for psi effects from Storm, Tressoldi, and Di Risio's (2010) meta-analysis. Our analysis differs from Storm et al.'s in that we rely on Bayes factors, a Bayesian approach for stating the evidence from data for…
Descriptors: Evidence, Bayesian Statistics, Meta Analysis, Cognitive Ability
Sutovsky, Peter – ProQuest LLC, 2013
The main goal of this research is to design, implement, and evaluate a novel explanation method, the hierarchical explanation method (HEM), for explaining Bayesian network (BN) inference when the network is modeling a population of conditionally independent agents, each of which is modeled as a subnetwork. For example, consider disease-outbreak…
Descriptors: Bayesian Statistics, Networks, Statistical Inference, Models
Omidi Najafabadi, Maryam; Mirdamadi, Seyed Mehdi; Payandeh Najafabadi, Amir Teimour – International Journal on E-Learning, 2014
The facts that the wireless technologies (1) are more convenient; and (2) need less skill than desktop computers, play a crucial role to decrease digital gap in rural areas. This study employed the Bayesian Confirmatory Factor Analysis (CFA) to design a mobile training system in rural areas of Iran. It categorized challenges, potential, and…
Descriptors: Foreign Countries, Electronic Learning, Telecommunications, Computer Networks
Huff, Mark J.; Balota, David A.; Hutchison, Keith A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
We examined whether 2 types of interpolated tasks (i.e., retrieval-practice via free recall or guessing a missing critical item) improved final recognition for related and unrelated word lists relative to restudying or completing a filler task. Both retrieval-practice and guessing tasks improved correct recognition relative to restudy and filler…
Descriptors: Testing, Guessing (Tests), Memory, Retention (Psychology)
Yu, Jing; Cheah, Charissa S. L.; Hart, Craig H.; Yang, Chongming – Developmental Psychology, 2018
The goals of this study were to examine: (a) bidirectional associations between maternal parenting (physical punishment and guilt induction) and Chinese American preschool children's psychosocial adjustment and (b) the role of maternal cultural orientation and child temperament in moderating parenting effects. Participants were Chinese American…
Descriptors: Inhibition, Self Control, Mothers, Acculturation
Phelan, Julia; Ing, Marsha; Nylund-Gibson, Karen; Brown, Richard S. – Journal of STEM Education: Innovations and Research, 2017
This study extends current research by organizing information about students' expectancy-value achievement motivation, in a way that helps parents and teachers identify specific entry points to encourage and support students' science aspirations. This study uses latent class analysis to describe underlying differences in ability beliefs, task…
Descriptors: Self Concept, Science Instruction, Middle School Students, Multivariate Analysis