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Ahluwalia, Anoop – ProQuest LLC, 2011
This research analyzes how external representations created by a student, Robert, helped him in building mathematical understanding over a sixteen-year period. Robert (also known as Bobby), was an original participant of the Rutgers longitudinal study where students were encouraged to work on problem-solving tasks with minimum intervention (Maher,…
Descriptors: Mathematics, Problem Solving, Longitudinal Studies, Students
McCaffrey, Daniel F.; Lockwood, J. R.; Setodji, Claude M. – Society for Research on Educational Effectiveness, 2011
Inverse probability weighting (IPW) estimates are widely used in applications where data are missing due to nonresponse or censoring or in observational studies of causal effects where the counterfactuals cannot be observed. This extensive literature has shown the estimators to be consistent and asymptotically normal under very general conditions,…
Descriptors: Computation, Probability, Weighted Scores, Error of Measurement
Kibble, Bob – Physics Education, 2011
A consequence of the curvature of the Earth is that distant ships apparently disappear over the horizon. This article shows how you can use a simple photograph to help students obtain a reasonable estimate of the size of the Earth using little more than the mathematics of Pythagoras. (Contains 5 figures.)
Descriptors: Photography, Computation, Mathematics Education, Visual Stimuli
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
Bollen, Kenneth A.; Bauldry, Shawn – Psychological Methods, 2011
In the last 2 decades attention to causal (and formative) indicators has grown. Accompanying this growth has been the belief that one can classify indicators into 2 categories: effect (reflective) indicators and causal (formative) indicators. We argue that the dichotomous view is too simple. Instead, there are effect indicators and 3 types of…
Descriptors: Statistical Analysis, Computation, Structural Equation Models, Expertise
Savalei, Victoria – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Categorical structural equation modeling (SEM) methods that fit the model to estimated polychoric correlations have become popular in the social sciences. When population thresholds are high in absolute value, contingency tables in small samples are likely to contain zero frequency cells. Such cells make the estimation of the polychoric…
Descriptors: Structural Equation Models, Correlation, Computation, Sample Size
Pfeiffer, Nils; Hagemann, Dirk; Backenstrass, Matthias – Educational and Psychological Measurement, 2011
In response to the low standards in short form development, Smith, McCarthy, and Anderson (2000) introduced a set of guidelines for the construction and evaluation of short forms of psychological tests. One of their recommendations requires researches to show that the variance overlap between the short form and its long form is adequate. This…
Descriptors: Psychological Testing, Computation, Test Length, Undergraduate Students
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
Kimani, Patrick M.; Gibbs, Renamarie T.; Anderson, Sarah M. – Mathematics Teaching in the Middle School, 2013
Numerous research articles and curricula standards maintain that learning is optimized when students are actively involved in the learning process by assimilating information and constructing their own meanings. The authors' experience with teaching probability concepts has shown that students struggle with concepts of counting. These…
Descriptors: Middle School Students, Mathematics Instruction, Student Participation, Mathematical Concepts
Braithwaite, David W.; Goldstone, Robert L. – Journal of Educational Psychology, 2013
The terms "concreteness fading" and "progressive formalization" have been used to describe instructional approaches to science and mathematics that use grounded representations to introduce concepts and later transition to more formal representations of the same concepts. There are both theoretical and empirical reasons to…
Descriptors: Mathematics Instruction, Science Instruction, Instructional Effectiveness, Teaching Methods
Cruz, Gregorio – Journal of Chemical Education, 2013
The use of boric acid in the Kjeldahl determination of nitrogen is a variant of the original method widely applied in many laboratories all over the world. Its use is recommended by control organizations such as ISO, IDF, and EPA because it yields reliable and accurate results. However, the chemical principles the method is based on are not…
Descriptors: Science Instruction, College Science, Teaching Methods, Undergraduate Study
Padilla, Miguel A.; Divers, Jasmin – Educational and Psychological Measurement, 2013
The performance of the normal theory bootstrap (NTB), the percentile bootstrap (PB), and the bias-corrected and accelerated (BCa) bootstrap confidence intervals (CIs) for coefficient omega was assessed through a Monte Carlo simulation under conditions not previously investigated. Of particular interests were nonnormal Likert-type and binary items.…
Descriptors: Sampling, Statistical Inference, Computation, Statistical Analysis
Williams, Amanda S. – Statistics Education Research Journal, 2013
Statistics anxiety is a problem for most graduate students. This study investigates the relationship between intolerance of uncertainty, worry, and statistics anxiety. Intolerance of uncertainty was significantly related to worry, and worry was significantly related to three types of statistics anxiety. Six types of statistics anxiety were…
Descriptors: Graduate Students, Statistics, Anxiety, Correlation
Neilan, Rachael Miller – PRIMUS, 2013
This article describes a computational project designed for undergraduate students as an introduction to mathematical modeling. Students use an ordinary differential equation to describe fish weight and assume the instantaneous growth rate depends on the concentration of dissolved oxygen. Published laboratory experiments suggest that continuous…
Descriptors: Undergraduate Students, Mathematical Models, Calculus, Ichthyology
Tipton, Elizabeth – Journal of Educational and Behavioral Statistics, 2013
As a result of the use of random assignment to treatment, randomized experiments typically have high internal validity. However, units are very rarely randomly selected from a well-defined population of interest into an experiment; this results in low external validity. Under nonrandom sampling, this means that the estimate of the sample average…
Descriptors: Generalization, Experiments, Classification, Computation

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