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Kleemans, Tijs; Segers, Eliane; Verhoeven, Ludo – Early Childhood Research Quarterly, 2013
The present study examined the relations between home numeracy experiences (i.e., parent-child numeracy activities and parents' numeracy expectations) and basic calculation skills (i.e., addition and subtraction) of children with Specific Language Impairment (SLI) and their peers with Normal Language Achievement (NLA), while taking into account…
Descriptors: Subtraction, Parents, Linguistics, Language Impairments
Rodriguez, Purificacion; Lago, M. Oliva; Enesco, Ileana; Guerrero, Silvia – Journal of Experimental Child Psychology, 2013
In this study, the development of comprehension of essential and nonessential aspects of counting is examined in children ranging from 5 to 8 years of age. Essential aspects, such as logical rules, and nonessential aspects, including conventional rules, were studied. To address this, we created a computer program in which children watched counting…
Descriptors: Elementary School Students, Computer Software, Computation, Comprehension
Peucker, Sabine; Weißhaupt, Steffi – South African Journal of Childhood Education, 2013
The development of numerical concepts is described from infancy to preschool age. Infants a few days old exhibit an early sensitivity for numerosities. In the course of development, nonverbal mental models allow for the exact representation of small quantities as well as changes in these quantities. Subitising, as the accurate recognition of small…
Descriptors: Number Concepts, Numeracy, Child Development, Infants
Woodruff, David; Traynor, Anne; Cui, Zhongmin; Fang, Yu – ACT, Inc., 2013
Professional standards for educational testing recommend that both the overall standard error of measurement and the conditional standard error of measurement (CSEM) be computed on the score scale used to report scores to examinees. Several methods have been developed to compute scale score CSEMs. This paper compares three methods, based on…
Descriptors: Comparative Analysis, Error of Measurement, Scores, Scaling
Deutsch, Jonah – ProQuest LLC, 2013
This dissertation is composed of three distinct chapters, each of which addresses issues of estimating treatment effects. The first chapter empirically tests the Value-Added (VA) model using school lotteries. The second chapter, co-authored with Michael Wood, considers properties of inverse probability weighting (IPW) in simple treatment effect…
Descriptors: Computation, Causal Models, Probability, Scores
Okome, Gloria Eloho – ProQuest LLC, 2013
There is the need to answer very crucial questions of "what happens to pollutants in surface waters?" This question must be answered to determine the factors controlling fate and transport of chemicals and their evolutionary state in surface waters. Monitoring and experimental methods are used in establishing the environmental states.…
Descriptors: Water Pollution, Hazardous Materials, Conservation (Environment), Scientific Principles
Ramful, Ajay; Nenduradu, Rajeev – Mathematics Education Research Group of Australasia, 2013
While previous work in the domain of proportional reasoning has primarily focused on the coordination of integer quantities, this study investigates how students coordinate fractional quantities. Fine-grained analysis of two seventh graders' responses to a set of systematically designed proportional tasks, shows how their knowledge of…
Descriptors: Mathematics Instruction, Mathematical Concepts, Mathematical Logic, Computation
Alcohol and Student Performance: Estimating the Effect of Legal Access. NBER Working Paper No. 17637
Lindo, Jason M.; Swensen, Isaac D.; Waddell, Glen R. – National Bureau of Economic Research, 2011
We consider the effect of legal access to alcohol on student achievement. We first estimate the effect using an RD design but argue that this approach is not well suited to the research question in our setting. Our preferred approach instead exploits the longitudinal nature of the data, identifying the effect by measuring the extent to which a…
Descriptors: Drinking, Academic Achievement, Gender Differences, Longitudinal Studies
St. Clair, Suzanne W. – ProQuest LLC, 2011
The current study evaluated the performance of traditional versus modern MDTs in the estimation of fixed-effects and variance components for data missing at the second level of an hierarchical linear model (HLM) model across 24 different study conditions. Variables manipulated in the analysis included, (a) number of Level-2 variables with missing…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Sample Size, Computation
Liu, Yanni; Cherkassky, Vladimir L.; Minshew, Nancy J.; Just, Marcel Adam – Neuropsychologia, 2011
Previous behavioral studies have shown that individuals with autism are less hindered by interference from global processing during the performance of lower-level perceptual tasks, such as finding embedded figures. The primary goal of this study was to examine the brain manifestation of such atypicality in high-functioning autism using fMRI.…
Descriptors: Autism, Perception, Brain, Spatial Ability
Bentler, Peter M.; de Leeuw, Jan – Psychometrika, 2011
When the factor analysis model holds, component loadings are linear combinations of factor loadings, and vice versa. This interrelation permits us to define new optimization criteria and estimation methods for exploratory factor analysis. Although this article is primarily conceptual in nature, an illustrative example and a small simulation show…
Descriptors: Factor Analysis, Models, Computation, Methods
Kosmopoulou, Georgia; Freeman, Margaret; Papavassiliou, Dimitrios V. – Chemical Engineering Education, 2011
A major challenge that chemical engineering graduates face at the modern workplace is the management and operation of plants under conditions of uncertainty. Developments in the fields of industrial organization and microeconomics offer tools to address this challenge with rather well developed concepts, such as decision theory and financial risk…
Descriptors: Chemical Engineering, Engineering Education, Risk, Computation
Halpin, Peter F.; Dolan, Conor V.; Grasman, Raoul P. P. P.; De Boeck, Paul – Psychometrika, 2011
The relationship between linear factor models and latent profile models is addressed within the context of maximum likelihood estimation based on the joint distribution of the manifest variables. Although the two models are well known to imply equivalent covariance decompositions, in general they do not yield equivalent estimates of the…
Descriptors: Models, Maximum Likelihood Statistics, Computation, Goodness of Fit
Davis-Stober, Clintin P. – Psychometrika, 2011
Many researchers have demonstrated that fixed, exogenously chosen weights can be useful alternatives to Ordinary Least Squares (OLS) estimation within the linear model (e.g., Dawes, Am. Psychol. 34:571-582, 1979; Einhorn & Hogarth, Org. Behav. Human Perform. 13:171-192, 1975; Wainer, Psychol. Bull. 83:213-217, 1976). Generalizing the approach of…
Descriptors: Least Squares Statistics, Error of Measurement, Geometry, Computation
De Boeck, Paul; Cho, Sun-Joo; Wilson, Mark – Applied Psychological Measurement, 2011
The models used in this article are secondary dimension mixture models with the potential to explain differential item functioning (DIF) between latent classes, called latent DIF. The focus is on models with a secondary dimension that is at the same time specific to the DIF latent class and linked to an item property. A description of the models…
Descriptors: Test Bias, Models, Statistical Analysis, Computation

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