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Baldwin, Peter – Journal of Educational Measurement, 2011
Growing interest in fully Bayesian item response models begs the question: To what extent can model parameter posterior draws enhance existing practices? One practice that has traditionally relied on model parameter point estimates but may be improved by using posterior draws is the development of a common metric for two independently calibrated…
Descriptors: Item Response Theory, Bayesian Statistics, Computation, Sampling
Zaslavsky, Oleg; Palgi, Yuval; Rillamas-Sun, Eileen; LaCroix, Andrea Z.; Schnall, Eliezer; Woods, Nancy F.; Cochrane, Barbara B.; Garcia, Lorena; Hingle, Melanie; Post, Stephen; Seguin, Rebecca; Tindle, Hilary; Shrira, Amit – Developmental Psychology, 2015
We examined whether dispositional optimism relates to change in global quality of life (QOL) as a function of either chronological age or years to impending death. We used a sample of 2,096 deceased postmenopausal women from the Women's Health Initiative clinical trials who were enrolled in the 2005-2010 Extension Study and for whom at least 1…
Descriptors: Quality of Life, Positive Attitudes, Age Differences, Health
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
Dai, Yunyun – Applied Psychological Measurement, 2013
Mixtures of item response theory (IRT) models have been proposed as a technique to explore response patterns in test data related to cognitive strategies, instructional sensitivity, and differential item functioning (DIF). Estimation proves challenging due to difficulties in identification and questions of effect size needed to recover underlying…
Descriptors: Item Response Theory, Test Bias, Computation, Bayesian Statistics
Nardini, Marko; Begus, Katarina; Mareschal, Denis – Journal of Experimental Psychology: Human Perception and Performance, 2013
Adults can integrate multiple sensory estimates to reduce their uncertainty in perceptual and motor tasks. In recent studies, children did not show this ability until after 8 years. Here we investigated development of the ability to integrate vision with proprioception to localize the hand. We tested 109 4- to 12-year-olds and adults on a simple…
Descriptors: Bayesian Statistics, Stimuli, Sensory Integration, Motor Reactions
Sanborn, Adam N.; Mansinghka, Vikash K.; Griffiths, Thomas L. – Psychological Review, 2013
People have strong intuitions about the influence objects exert upon one another when they collide. Because people's judgments appear to deviate from Newtonian mechanics, psychologists have suggested that people depend on a variety of task-specific heuristics. This leaves open the question of how these heuristics could be chosen, and how to…
Descriptors: Heuristics, Statistical Inference, Mechanics (Physics), Intuition
Karabatsos, George; Walker, Stephen G. – Society for Research on Educational Effectiveness, 2013
The regression discontinuity (RD) design (Thistlewaite & Campbell, 1960; Cook, 2008) provides a framework to identify and estimate causal effects from a non-randomized design. Each subject of a RD design is assigned to the treatment (versus assignment to a non-treatment) whenever her/his observed value of the assignment variable equals or…
Descriptors: Regression (Statistics), Bayesian Statistics, Nonparametric Statistics, Causal Models
Zhou, Bo; Konstorum, Anna; Duong, Thao; Tieu, Kinh H.; Wells, William M.; Brown, Gregory G.; Stern, Hal S.; Shahbaba, Babak – Psychometrika, 2013
We propose a hierarchical Bayesian model for analyzing multi-site experimental fMRI studies. Our method takes the hierarchical structure of the data (subjects are nested within sites, and there are multiple observations per subject) into account and allows for modeling between-site variation. Using posterior predictive model checking and model…
Descriptors: Brain, Diagnostic Tests, Bayesian Statistics, Hierarchical Linear Modeling
Janoos, Firdaus; Brown, Gregory; Morocz, Istvan A.; Wells, William M., III – Psychometrika, 2013
The neural correlates of "working memory" (WM) in schizophrenia (SZ) have been extensively studied using the multisite fMRI data acquired by the Functional Biomedical Informatics Research Network (fBIRN) consortium. Although univariate and multivariate analysis methods have been variously employed to localize brain responses under differing task…
Descriptors: Brain, Diagnostic Tests, Short Term Memory, Cognitive Processes
Van Stockum, Charles A., Jr.; DeCaro, Marci S. – Journal of Problem Solving, 2014
Individual differences in working memory capacity (WMC) increase the ability and tendency to devote greater attentional control to a task--improving performance on a wide range of skills. In addition, recent research on enclothed cognition demonstrates that the situational influence of wearing a white lab coat increases controlled attention, due…
Descriptors: Problem Solving, Short Term Memory, Attention Control, Intuition
Lee, HwaYoung; Beretvas, S. Natasha – Educational and Psychological Measurement, 2014
Conventional differential item functioning (DIF) detection methods (e.g., the Mantel-Haenszel test) can be used to detect DIF only across observed groups, such as gender or ethnicity. However, research has found that DIF is not typically fully explained by an observed variable. True sources of DIF may include unobserved, latent variables, such as…
Descriptors: Item Analysis, Factor Structure, Bayesian Statistics, Goodness of Fit
Muñoz, Karla; Noguez, Julieta; Neri, Luis; Mc Kevitt, Paul; Lunney, Tom – Educational Technology & Society, 2016
Game-based Learning (GBL) environments make instruction flexible and interactive. Positive experiences depend on personalization. Student modelling has focused on affect. Three methods are used: (1) recognizing the physiological effects of emotion, (2) reasoning about emotion from its origin and (3) an approach combining 1 and 2. These have proven…
Descriptors: Educational Games, Psychological Patterns, Models, Academic Achievement
Timmons, Kristy; Pelletier, Janette – Early Child Development and Care, 2016
In this study, we explored the influence of kindergarten children's perspectives of school on their literacy and self-regulation outcomes. Children's early perspectives were captured in a three-question, finger-puppet interview. Responses to the interview questions were coded thematically as being academic and/or social in nature, and were…
Descriptors: Childhood Attitudes, Kindergarten, Longitudinal Studies, Puppetry
Najafabadi, Maryam Omidi; Zamani, Maryam; Mirdamadi, Mehdi – Journal of Education for Business, 2016
The authors used Ajzen's theory of planned behavior and Shapero's entrepreneurial event model as well as entrepreneurial cognition theory to identify the relationship among entrepreneurial skills, self-efficacy, attitudes toward entrepreneurship, psychological traits, social norms, perceived desirability, social support, and entrepreneurial…
Descriptors: Models, Entrepreneurship, Agricultural Education, Intention
Liu, Ran; Koedinger, Kenneth R. K – International Educational Data Mining Society, 2017
Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student population with excellent "depth" -- that is,…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Bayesian Statistics, Pretests Posttests

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