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White, Corey N.; Brown, Scott; Ratcliff, Roger – Journal of Experimental Psychology: Human Perception and Performance, 2012
Two Bayesian observer models were recently proposed to account for data from the Eriksen flanker task, in which flanking items interfere with processing of a central target. One model assumes that interference stems from a perceptual bias to process nearby items as if they are compatible, and the other assumes that the interference is due to…
Descriptors: Tests, Bayesian Statistics, Cognitive Processes, Task Analysis
Taylor, Eric G.; Ahn, Woo-kyoung – Cognitive Psychology, 2012
Suppose one observes a correlation between two events, B and C, and infers that B causes C. Later one discovers that event A explains away the correlation between B and C. Normatively, one should now dismiss or weaken the belief that B causes C. Nonetheless, participants in the current study who observed a positive contingency between B and C…
Descriptors: Evidence, Prior Learning, Bayesian Statistics, Correlation
Zhu, Xiaowen; Stone, Clement A. – Educational and Psychological Measurement, 2012
This study examined the relative effectiveness of Bayesian model comparison methods in selecting an appropriate graded response (GR) model for performance assessment applications. Three popular methods were considered: deviance information criterion (DIC), conditional predictive ordinate (CPO), and posterior predictive model checking (PPMC). Using…
Descriptors: Bayesian Statistics, Item Response Theory, Comparative Analysis, Models
Grasshoff, Ulrike; Holling, Heinz; Schwabe, Rainer – Psychometrika, 2012
In this paper, optimal designs will be derived for estimating the ability parameters of the Rasch model when difficulty parameters are known. It is well established that a design is locally D-optimal if the ability and difficulty coincide. But locally optimal designs require that the ability parameters to be estimated are known. To attenuate this…
Descriptors: Item Response Theory, Test Items, Psychometrics, Statistical Analysis
Gopnik, Alison; Wellman, Henry M. – Psychological Bulletin, 2012
We propose a new version of the "theory theory" grounded in the computational framework of probabilistic causal models and Bayesian learning. Probabilistic models allow a constructivist but rigorous and detailed approach to cognitive development. They also explain the learning of both more specific causal hypotheses and more abstract framework…
Descriptors: Causal Models, Theory of Mind, Probability, Cognitive Development
Jo, Booil; Stuart, Elizabeth A. – Journal of Research on Educational Effectiveness, 2012
The authors thank Dr. Lindsay Page for providing a nice illustration of the use of the principal stratification framework to define causal effects, and a Bayesian model for effect estimation. They hope that her well-written article will help expose education researchers to these concepts and methods, and move the field of mediation analysis in…
Descriptors: Bayesian Statistics, Educational Experiments, Educational Research, Observation
Anobile, Giovanni; Cicchini, Guido Marco; Burr, David C. – Cognition, 2012
Mapping of number onto space is fundamental to mathematics and measurement. Previous research suggests that while typical adults with mathematical schooling map numbers veridically onto a linear scale, pre-school children and adults without formal mathematics training, as well as individuals with dyscalculia, show strong compressive,…
Descriptors: Reading Achievement, Numbers, Bayesian Statistics, Preschool Children
Scherer, Ronny; Meßinger-Koppelt, Jenny; Tiemann, Rüdiger – International Journal of STEM Education, 2014
Background: Complex problem-solving competence is regarded as a key construct in science education. But due to the necessity of using interactive and intransparent assessment procedures, appropriate measures of the construct are rare. This paper consequently presents the development and validation of a computer-based problem-solving environment,…
Descriptors: Computer Assisted Testing, Problem Solving, Chemistry, Science Tests
Johnson, Timothy R. – Applied Psychological Measurement, 2013
One of the distinctions between classical test theory and item response theory is that the former focuses on sum scores and their relationship to true scores, whereas the latter concerns item responses and their relationship to latent scores. Although item response theory is often viewed as the richer of the two theories, sum scores are still…
Descriptors: Item Response Theory, Scores, Computation, Bayesian Statistics
Stone, Clement A.; Tang, Yun – Practical Assessment, Research & Evaluation, 2013
Propensity score applications are often used to evaluate educational program impact. However, various options are available to estimate both propensity scores and construct comparison groups. This study used a student achievement dataset with commonly available covariates to compare different propensity scoring estimation methods (logistic…
Descriptors: Comparative Analysis, Probability, Sample Size, Program Evaluation
Dillon, Brian; Dunbar, Ewan; Idsardi, William – Cognitive Science, 2013
To acquire one's native phonological system, language-specific phonological categories and relationships must be extracted from the input. The acquisition of the categories and relationships has each in its own right been the focus of intense research. However, it is remarkable that research on the acquisition of categories and the relations…
Descriptors: Phonology, Eskimo Aleut Languages, Language Acquisition, Phonetics
Wang, Wen-Chung; Liu, Chen-Wei; Wu, Shiu-Lien – Applied Psychological Measurement, 2013
The random-threshold generalized unfolding model (RTGUM) was developed by treating the thresholds in the generalized unfolding model as random effects rather than fixed effects to account for the subjective nature of the selection of categories in Likert items. The parameters of the new model can be estimated with the JAGS (Just Another Gibbs…
Descriptors: Computer Assisted Testing, Adaptive Testing, Models, Bayesian Statistics
Nagel, Jonas; Waldmann, Michael R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
A heavily disputed question of moral philosophy is whether spatial distance between agent and victim is normatively relevant for the degree of obligation to help strangers in need. In this research, we focus on the associated descriptive question whether increased distance does in fact reduce individuals' sense of helping obligation. One problem…
Descriptors: Bayesian Statistics, Ethics, Social Cognition, Cues
Abayomi, Kobi; Pizarro, Gonzalo – Social Indicators Research, 2013
We offer a straightforward framework for measurement of progress, across many dimensions, using cross-national social indices, which we classify as linear combinations of multivariate country level data onto a univariate score. We suggest a Bayesian approach which yields probabilistic (confidence type) intervals for the point estimates of country…
Descriptors: Bayesian Statistics, Intervals, Guidelines, Measurement
Karpudewan, Mageswary; Roth, Wolff-Michael; Ismail, Zurida – Asia-Pacific Education Researcher, 2015
As an initial effort to reorient the current Malaysian chemistry curriculum, "green chemistry" was developed. In this study for the purpose of investigating the effectiveness of the green chemistry curriculum on secondary school students' understanding of chemistry concepts a quasi-experimental design was used. One-group pretest posttest…
Descriptors: Secondary School Students, Chemistry, Curriculum Development, Curriculum Evaluation

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