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Shiffrin, Richard M.; Lee, Michael D.; Kim, Woojae; Wagenmakers, Eric-Jan – Cognitive Science, 2008
This article reviews current methods for evaluating models in the cognitive sciences, including theoretically based approaches, such as Bayes factors and minimum description length measures; simulation approaches, including model mimicry evaluations; and practical approaches, such as validation and generalization measures. This article argues…
Descriptors: Bayesian Statistics, Generalization, Sciences, Models
Kribs-Zaleta, Christopher M. – Mathematics Teaching in the Middle School, 2008
This article describes how sixth-grade students developed concrete models to solve division of fractions story problems. Students developed separate two-step procedures to solve measurement and partitive problems, drawing on invented procedures for division of whole numbers. Errors also tended to be specific to the type of division problem…
Descriptors: Arithmetic, Computation, Grade 6, Mathematics Instruction
Cohen, Jon; Chan, Tsze; Jiang, Tao; Seburn, Mary – Applied Psychological Measurement, 2008
U.S. state educational testing programs administer tests to track student progress and hold schools accountable for educational outcomes. Methods from item response theory, especially Rasch models, are usually used to equate different forms of a test. The most popular method for estimating Rasch models yields inconsistent estimates and relies on…
Descriptors: Testing Programs, Educational Testing, Item Response Theory, Computation
O'Hare, William P. – Annie E. Casey Foundation, 2009
The Decennial Census is the most important data collection activity undertaken by the U.S. federal statistical system. Because census data are used to apportion Congress and draw redistricting lines for thousands of state and local single-member districts to meet the one-person/one-vote guidelines, the census is at the heart of the political…
Descriptors: Young Children, Census Figures, Federal Government, Statistics
Alliance for Excellent Education, 2009
Graduation rates are a fundamental indicator of whether or not the nation's public school system is doing what it is intended to do: enroll, engage, and educate youth to be productive members of society. Since almost 90 percent of the fastest-growing and highest-paying jobs require some postsecondary education, having a high school diploma and the…
Descriptors: High School Graduates, Graduation Rate, Dropouts, Academic Achievement
Siegler, Robert S.; Ramani, Geetha – Society for Research on Educational Effectiveness, 2009
The present study focused on two main goals. One was to test the "representational mapping hypothesis": The greater the transparency of the mapping between physical materials and desired internal representations, the greater the learning of the desired internal representation. The implication of the representational mapping hypothesis in the…
Descriptors: Feedback (Response), Disadvantaged Youth, Learning Strategies, Pretests Posttests
Timmons, Vianne; Ostridge, Randy – McGill Journal of Education, 2009
Data analysis is critical to educational planning. Determining the number of school leavers is crucial for a school board when planning for interventions and supports. In researching the number of early school leavers in the province of Prince Edward Island, the method in which the data were reported affected the rates. Two critical considerations…
Descriptors: Educational Planning, Dropouts, Data Analysis, Boards of Education
Feldman, Betsy J.; Masyn, Katherine E.; Conger, Rand D. – Developmental Psychology, 2009
Analyzing problem-behavior trajectories can be difficult. The data are generally categorical and often quite skewed, violating distributional assumptions of standard normal-theory statistical models. In this article, the authors present several currently available modeling options, all of which make appropriate distributional assumptions for the…
Descriptors: Structural Equation Models, Behavior Problems, Student Behavior, Adolescents
Li, Deping; Oranje, Andreas; Jiang, Yanlin – ETS Research Report Series, 2007
The hierarchical latent regression model (HLRM) is a flexible framework for estimating group-level proficiency while taking into account the complex sample designs often found in large-scale educational surveys. A complex assessment design in which information is collected at different levels (such as student, school, and district), the model also…
Descriptors: Hierarchical Linear Modeling, Regression (Statistics), Computation, Comparative Analysis
DiLisi, Gregory A.; Rarick, Richard A. – Physics Teacher, 2007
"The 2006 Winter Meeting of the AAPT Was Over..."and the flight home from Anchorage to Cleveland was just about to end--eight hours in the air, only two complimentary beverages, no meals, a jump across four time zones, a one-year-old baby daughter, and a wife whose motto for the week was, "Why did they choose to have a winter meeting in Alaska?"…
Descriptors: Computation, Motion, Science Experiments, Science Education
Maydeu-Olivares, Alberto; Hernandez, Adolfo – Multivariate Behavioral Research, 2007
The interpretation of a Thurstonian model for paired comparisons where the utilities' covariance matrix is unrestricted proved to be difficult due to the comparative nature of the data. We show that under a suitable constraint the utilities' correlation matrix can be estimated, yielding a readily interpretable solution. This set of identification…
Descriptors: Identification, Structural Equation Models, Matrices, Comparative Analysis
Le Corre, Mathieu; Carey, Susan – Cognition, 2007
Since the publication of [Gelman, R., & Gallistel, C. R. (1978). "The child's understanding of number." Cambridge, MA: Harvard University Press.] seminal work on the development of verbal counting as a representation of number, the nature of the ontogenetic sources of the verbal counting principles has been intensely debated. The present…
Descriptors: Logical Thinking, Number Concepts, Computation, Children
Kliegl, Reinhold – Journal of Experimental Psychology: General, 2007
K. Rayner, A. Pollatsek, D. Drieghe, T. J. Slattery, and E. D. Reichle argued that the R. Kliegl, A. Nuthmann, and R. Engbert corpus-analytic evidence for distributed processing during reading should not be accepted because (a) there might be problems of multicollinearity, (b) the distinction between content and function words and the skipping…
Descriptors: Reading Research, Word Frequency, Language Processing, Correlation
Pereira, Constantino Fernandez; Alcalde, Manuel; Villegas, Rosario; Vale, Jose – Journal of Chemical Education, 2007
The four types of ionic equilibria--acid-base, redox, precipitation, and complexation--have certain similarities, which has led some authors to develop a unified treatment of them. These authors have highlighted the common aspects and tried to find a systemization of the equilibria that would facilitate learning them. In this unified treatment,…
Descriptors: Chemistry, Computation, Science Instruction, Foreign Countries
Burns, Marilyn – Instructor, 2007
Everyday, people face situations that call for adding, subtracting, multiplying, or dividing, and at least half of the time, these calculations are accomplished without the use of pen, paper, or calculators. Because figuring "in your head" is such an important life skill, it should have a regular role in classroom math teaching. This article…
Descriptors: Mathematics Skills, Teaching Methods, Mathematics Instruction, Arithmetic

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