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Perales, Jose C.; Shanks, David R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2008
It has been proposed that causal power (defined as the probability with which a candidate cause would produce an effect in the absence of any other background causes) can be intuitively computed from cause-effect covariation information. Estimation of power is assumed to require a special type of counterfactual probe question, worded to remove…
Descriptors: Figurative Language, Probability, Cognitive Mapping, Knowledge Representation
Birckmayer, Johanna; Fisher, Deborah A.; Holder, Harold D.; Yacoubian, George S. – Journal of Drug Education, 2008
Little research exists on effective strategies to prevent methamphetamine production, distribution, sales, use, and harm. As a result, prevention practitioners (especially at the local level) have little guidance in selecting potentially effective strategies. This article presents a general causal model of methamphetamine use and harms that…
Descriptors: Substance Abuse, Causal Models, Prevention, Public Health
El-Fouly, Tarek H. M.; El-Saadany, Ehab F.; Salama, Magdy M. A. – Bulletin of Science, Technology & Society, 2008
This article investigates the impacts of proper modeling of the wake effects and wind speed delays, between different wind turbines' rows, on the dynamic performance accuracy of the wind farms models. Three different modeling scenarios were compared to highlight the impacts of wake effects and wind speed time-delay models. In the first scenario,…
Descriptors: Meteorology, Causal Models, Climate, Energy
Krynski, Tevye R.; Tenenbaum, Joshua B. – Journal of Experimental Psychology: General, 2007
Leading accounts of judgment under uncertainty evaluate performance within purely statistical frameworks, holding people to the standards of classical Bayesian (A. Tversky & D. Kahneman, 1974) or frequentist (G. Gigerenzer & U. Hoffrage, 1995) norms. The authors argue that these frameworks have limited ability to explain the success and…
Descriptors: Inferences, Norms, Causal Models, Bayesian Statistics
Babendure, Jeremy; Thompson, Loren; Peterman, Karen; Teiper, Leanne; Gastil, Heather; Liwanag, Heather; Glenn-Lee, Shelley – Society for Research on Educational Effectiveness, 2011
The BioBridge Professional Development model was created to bring current and relevant science into the high school classroom. The purpose of this intervention was to connect teachers with relevant science and to create innovative, hands-on activities that engage students, with the goal of increasing student interest in STEM careers. To this end,…
Descriptors: Student Interests, Educational Change, Professional Development, Teaching Methods
Subedi, Bidya Raj; Swan, Bonnie; Hynes, Michael C. – Online Submission, 2010
This paper investigates the effect of teacher quality, represented by teacher level characteristics, on mathematics gain scores employing multilevel (or three-level hierarchical linear model, HLM, based) unconditional and conditional value-added model (VAM). We found the significant effects of teacher's mathematics content certification, teacher…
Descriptors: Teacher Effectiveness, Teaching Experience, Measurement Techniques, Achievement Gains
Smith, Glenn Gordon; Gerretson, Helen; Olkun, Sinan; Joutsenlahti, Jorma – Hacettepe University Journal of Education, 2010
This study investigated whether infusing "causal" story elements into mathematical word problems improves student performance. In one experiment in the USA and a second in USA, Finland and Turkey, undergraduate elementary education majors worked word problems in three formats: 1) standard (minimal verbiage), 2) potential causation…
Descriptors: Education Majors, Elementary Education, Foreign Countries, Word Problems (Mathematics)
Freedman, David A.; Berk, Richard A. – Evaluation Review, 2008
Regressions can be weighted by propensity scores in order to reduce bias. However, weighting is likely to increase random error in the estimates, and to bias the estimated standard errors downward, even when selection mechanisms are well understood. Moreover, in some cases, weighting will increase the bias in estimated causal parameters. If…
Descriptors: Causal Models, Weighted Scores, Error of Measurement, Case Studies
Cook, Thomas D.; Shadish, William R.; Wong, Vivian C. – Journal of Policy Analysis and Management, 2008
This paper analyzes 12 recent within-study comparisons contrasting causal estimates from a randomized experiment with those from an observational study sharing the same treatment group. The aim is to test whether different causal estimates result when a counterfactual group is formed, either with or without random assignment, and when statistical…
Descriptors: Causal Models, Experiments, Pretests Posttests, Job Training
Lee, Hee Seung; Holyoak, Keith J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2008
Computational models of analogy have assumed that the strength of an inductive inference about the target is based directly on similarity of the analogs and in particular on shared higher order relations. In contrast, work in philosophy of science suggests that analogical inference is also guided by causal models of the source and target. In 3…
Descriptors: Causal Models, Inferences, Cognitive Processes, Logical Thinking
Williamson, Rebecca A.; Meltzoff, Andrew N.; Markman, Ellen M. – Developmental Psychology, 2008
Children are selective and flexible imitators. They combine their own prior experiences and the perceived causal efficacy of the model to determine whether and what to imitate. In Experiment 1, children were randomly assigned to have either a difficult or an easy experience achieving a goal. They then saw an adult use novel means to achieve the…
Descriptors: Imitation, Young Children, Prior Learning, Success
Kushnir, Tamar; Wellman, Henry M.; Gelman, Susan A. – Cognition, 2008
Preschoolers use information from interventions, namely intentional actions, to make causal inferences. We asked whether children consider some interventions to be more informative than others based on two components of an actor's knowledge state: whether an actor "possesses" causal knowledge, and whether an actor is allowed to "use" their…
Descriptors: Causal Models, Toys, Inferences, Preschool Children
Berkant, Hasan Guner – Educational Sciences: Theory and Practice, 2009
The main purpose of this study is to investigate whether students' meaningful causal thinking abilities vary with their academic achievement levels, reading comprehension abilities, and gender. The sample of the study consisted of 124 ninth grade students attending a secondary school in Adana City Seyhan District during 2008-2009 academic year.…
Descriptors: Grade 9, Secondary School Students, Thinking Skills, Causal Models
Whitehouse, Andrew J. O.; Bishop, Dorothy V. M. – Neuropsychologia, 2009
Verbal and visuospatial abilities are typically subserved by different cerebral hemispheres: the left hemisphere for the former and the right hemisphere for the latter. However little is known of the origin of this division of function. Causal theories propose that functional asymmetry is an obligatory pattern of organisation, while statistical…
Descriptors: Brain Hemisphere Functions, Memory, Spatial Ability, Verbal Ability
Ferrando, Pere J. – Applied Psychological Measurement, 2009
Spearman's factor-analytic model has been proposed as a unidimensional linear item response theory (IRT) model for continuous item responses. This article first proposes a reexpression of the model that leads to a form similar to that of standard IRT models for binary responses and discusses the item indices of difficulty discrimination and…
Descriptors: Factor Analysis, Item Response Theory, Discriminant Analysis, Psychometrics

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