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Winkel, Brian J. – International Journal of Mathematical Education in Science and Technology, 2012
This article offers modelling opportunities in which the phenomena of the spread of disease, perception of changing mass, growth of technology, and dissemination of information can be described by one differential equation--the logistic differential equation. It presents two simulation activities for students to generate real data, as well as…
Descriptors: Mathematical Models, Calculus, Diseases, Class Activities
Avetisyan, Marianna; Fox, Jean-Paul – Psicologica: International Journal of Methodology and Experimental Psychology, 2012
In survey sampling the randomized response (RR) technique can be used to obtain truthful answers to sensitive questions. Although the individual answers are masked due to the RR technique, individual (sensitive) response rates can be estimated when observing multivariate response data. The beta-binomial model for binary RR data will be generalized…
Descriptors: Computation, Sample Size, Responses, Multivariate Analysis
Ghisletta, Paolo; McArdle, John J. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
In recent years the use of the latent curve model (LCM) among researchers in social sciences has increased noticeably, probably thanks to contemporary software developments and the availability of specialized literature. Extensions of the LCM, like the the latent change score model (LCSM), have also increased in popularity. At the same time, the R…
Descriptors: Statistical Analysis, Structural Equation Models, Computation, Computer Software
MacCallum, Robert C.; Edwards, Michael C.; Cai, Li – Psychological Methods, 2012
Muthen and Asparouhov (2012) have proposed and demonstrated an approach to model specification and estimation in structural equation modeling (SEM) using Bayesian methods. Their contribution builds on previous work in this area by (a) focusing on the translation of conventional SEM models into a Bayesian framework wherein parameters fixed at zero…
Descriptors: Structural Equation Models, Bayesian Statistics, Computation, Expertise
Hovardas, Tasos; Korfiatis, Konstantinos – Environment and Behavior, 2012
An environmental education intervention in a university conservation-related course was designed to decrease students' errors in consensus estimates for proenvironmental intentions, that is, their errors in guessing their classmates' proenvironmental intentions. Before and after the course, the authors measured two intentions regarding willingness…
Descriptors: Environmental Education, Intervention, Conservation (Environment), Activism
Thompson, Ian – Mathematics Teaching, 2012
Ofsted was asked to provide evidence of effective practice in the teaching of early arithmetic, its report entitled; "Good practice in primary mathematics: evidence from 20 successful schools," was published in November 2011. Did this report pass you by? Unfortunately, as with many other reports not blessed with a "high…
Descriptors: Teaching Methods, Mathematics Instruction, Elementary School Mathematics, Evidence
Opfer, John E.; Martens, Marilee A. – Developmental Science, 2012
Experience engenders learning, but not all learning involves representational change. In this paper, we provide a dramatic case study of the distinction between learning and representational change. Specifically, we examined long- and short-term changes in representations of numeric magnitudes by asking individuals with Williams syndrome (WS) and…
Descriptors: Children, Computation, Numbers, Change
Frank, Michael C.; Fedorenko, Evelina; Lai, Peter; Saxe, Rebecca; Gibson, Edward – Cognitive Psychology, 2012
Language for number is an important case study of the relationship between language and cognition because the mechanisms of non-verbal numerical cognition are well-understood. When the Piraha (an Amazonian hunter-gatherer tribe who have no exact number words) are tested in non-verbal numerical tasks, they are able to perform one-to-one matching…
Descriptors: Coding, Number Concepts, Computation, Numeracy
Alcaraz, Brenda; Cullen, Karen Weber – Journal of Child Nutrition & Management, 2014
Purpose/Objectives: The new nutrition standards for the school meal programs implemented in 2012 align the school meal patterns with the US Dietary Guidelines for Americans, including more fruit, vegetable and whole grain offerings and minimum and maximum amount of calories per meal averaged over a week. The purpose of this study was to assess…
Descriptors: Nutrition, Child Health, Attitude Measures, Food Service
Bottge, Brian A.; Ma, Xin; Gassaway, Linda; Butler, Mark; Toland, Michael D. – Exceptional Children, 2014
This article describes a follow-up analysis of findings from a randomized study that tested the efficacy of a blended version of Enhanced Anchored Instruction (EAI) designed to improve both the computation and problem-solving performances of middle school students with disabilities. The goals of the secondary analysis were to track overall error…
Descriptors: Computation, Error Patterns, Error Correction, Followup Studies
Psycharis, Sarantos; Botsari, Evanthia; Chatzarakis, George – Journal of Educational Computing Research, 2014
Learning styles are increasingly being integrated into computational-enhanced earning environments and a great deal of recent research work is taking place in this area. The purpose of this study was to examine the impact of the computational experiment approach, learning styles, epistemic beliefs, and engagement with the inquiry process on the…
Descriptors: STEM Education, Cognitive Style, Student Attitudes, Beliefs
Xu, Chang; Wells, Emma; LeFevre, Jo-Anne; Imbo, Ineke – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
The purpose of the present study was to examine factors that influence strategic flexibility in computational estimation for Chinese- and Canadian-educated adults. Strategic flexibility was operationalized as the percentage of trials on which participants chose the problem-based procedure that best balanced proximity to the correct answer with…
Descriptors: Computation, Problem Solving, Feedback (Response), Accuracy
He, Wei; Reckase, Mark D. – Educational and Psychological Measurement, 2014
For computerized adaptive tests (CATs) to work well, they must have an item pool with sufficient numbers of good quality items. Many researchers have pointed out that, in developing item pools for CATs, not only is the item pool size important but also the distribution of item parameters and practical considerations such as content distribution…
Descriptors: Item Banks, Test Length, Computer Assisted Testing, Adaptive Testing
Rivizzigno, Alessandra S.; Brendgen, Mara; Feng, Bei; Vitaro, Frank; Dionne, Ginette; Tremblay, Richard E.; Boivin, Michel – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2014
Enriched environments may moderate the effect of genetic factors on prosocial leadership (gene-environment interaction, G × E). However, positive environmental experiences may also themselves be influenced by a genetic disposition for prosocial leadership (gene-environment correlation, rGE). Relating these processes to friendships, the present…
Descriptors: Genetics, Environmental Influences, Prosocial Behavior, Leadership
Paek, Insu; Park, Hyun-Jeong; Cai, Li; Chi, Eunlim – Educational and Psychological Measurement, 2014
Typically a longitudinal growth modeling based on item response theory (IRT) requires repeated measures data from a single group with the same test design. If operational or item exposure problems are present, the same test may not be employed to collect data for longitudinal analyses and tests at multiple time points are constructed with unique…
Descriptors: Item Response Theory, Comparative Analysis, Test Items, Equated Scores

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