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Hoshino, Takahiro; Kurata, Hiroshi; Shigemasu, Kazuo – Psychometrika, 2006
In the behavioral and social sciences, quasi-experimental and observational studies are used due to the difficulty achieving a random assignment. However, the estimation of differences between groups in observational studies frequently suffers from bias due to differences in the distributions of covariates. To estimate average treatment effects…
Descriptors: Structural Equation Models, Simulation, Social Sciences, Computation
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Condon, Gregory W.; Landesman, Miriam F.; Calasanz-Kaiser, Agnes – Mathematics Teaching in the Middle School, 2006
This article features NASA's FlyBy Math, a series of six standards-based distance-rate-time investigations in air traffic control. Sixth-grade students--acting as pilots, air traffic controllers, and NASA scientists--conduct an experiment and then use multiple mathematical representations to analyze and solve a problem involving two planes flying…
Descriptors: Investigations, Grade 6, Experiments, Problem Solving
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Green, C. S.; Bavelier, D. – Cognition, 2006
Here, we demonstrate that action video game play enhances subjects' ability in two tasks thought to indicate the number of items that can be apprehended. Using an enumeration task, in which participants have to determine the number of quickly flashed squares, accuracy measures showed a near ceiling performance for low numerosities and a sharp drop…
Descriptors: Video Games, Computation, Short Term Memory, Performance
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Penfield, Randall D.; Bergeron, Jennifer M. – Applied Psychological Measurement, 2005
This article applies a weighted maximum likelihood (WML) latent trait estimator to the generalized partial credit model (GPCM). The relevant equations required to obtain the WML estimator using the Newton-Raphson algorithm are presented, and a simulation study is described that compared the properties of the WML estimator to those of the maximum…
Descriptors: Simulation, Computation, Item Response Theory, Maximum Likelihood Statistics
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Wang, Wen-Chung – Educational and Psychological Measurement, 2004
The Pearson correlation is used to depict effect sizes in the context of item response theory. Amultidimensional Rasch model is used to directly estimate the correlation between latent traits. Monte Carlo simulations were conducted to investigate whether the population correlation could be accurately estimated and whether the bootstrap method…
Descriptors: Test Length, Sampling, Effect Size, Correlation
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Feldt, Leonard S. – Educational and Psychological Measurement, 2005
To meet the requirements of the No Child Left Behind Act, school districts and states must compile summary reports of the levels of student achievement in reading and mathematics. The levels are to be described in broad categories: "basic and below," "proficient," or "advanced." Educational units are given considerable latitude in defining the…
Descriptors: Federal Legislation, Academic Achievement, Test Items, Test Validity
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Algina, James; Keselman, H. J.; Penfield, Randall D. – Educational and Psychological Measurement, 2005
Probability coverage for eight different confidence intervals (CIs) of measures of effect size (ES) in a two-level repeated measures design was investigated. The CIs and measures of ES differed with regard to whether they used least squares or robust estimates of central tendency and variability, whether the end critical points of the interval…
Descriptors: Probability, Intervals, Least Squares Statistics, Effect Size
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Amit, Miriam; Fried, Michael N.; Satianov, Pavel – International Journal of Mathematical Education in Science and Technology, 2004
Teachers of first-year college mathematics and engineering courses must often spend considerable time reviewing material originally taught in high school. Instead of this being a mere exercise in repetition, this article suggests that such a review can enrich and revitalize by unifying some of the subjects that need to be re-taught. In the example…
Descriptors: College Mathematics, Graphs, Mathematics Instruction, Geometric Concepts
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Blitstein, Jonathan L.; Hannan, Peter J.; Murray, David M.; Shadish, William R. – Evaluation Review, 2005
This study describes a method for incorporating external estimates of intraclass correlation to improve the precision for the analysis of an existing group-randomized trial. The authors use a random-effects meta-analytic approach to pool the information across studies, which takes into account any interstudy heterogeneity that may exist. This…
Descriptors: Freedom, Computation, Correlation, Evaluation Research
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Wells, Douglas E.; Southall, Richard M.; Stotlar, David; Mundfrom, Daniel J. – International Journal of Educational Advancement, 2005
The purpose of this study was to identify selected factors related to annual fundraising program contributions at National Collegiate Athletic Association (NCAA) Division I-A (D I-A) institutions and develop an equation for estimating an annual fund-raising goal. Based on a review of the literature, 15 potential predictor variables were selected…
Descriptors: Fund Raising, Private Financial Support, Donors, Predictor Variables
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Bonett, Douglas G.; Price, Robert M. – Journal of Educational and Behavioral Statistics, 2005
The tetrachoric correlation describes the linear relation between two continuous variables that have each been measured on a dichotomous scale. The treatment of the point estimate, standard error, interval estimate, and sample size requirement for the tetrachoric correlation is cursory and incomplete in modern psychometric and behavioral…
Descriptors: Correlation, Predictor Variables, Measures (Individuals), Error of Measurement
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Tsai, Tien-Lung; Shau, Wen-Yi; Hu, Fu-Chang – Structural Equation Modeling: A Multidisciplinary Journal, 2006
This article generalizes linear path analysis (PA) and simultaneous equations models (SiEM) to deal with mixed responses of different types in a recursive or triangular system. An efficient instrumental variable (IV) method for estimating the structural coefficients of a 2-equation partially recursive generalized path analysis (GPA) model and…
Descriptors: Structural Equation Models, Path Analysis, Simulation, Equations (Mathematics)
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Grip, Richard S. – Journal of Research in Rural Education, 2004
Large numbers of rural districts have experienced sharp declines in enrollment, unlike their suburban counterparts. Accurate enrollment projections are required, whether a district needs to build new schools or consolidate existing ones. For school districts having more than 600 students, a quantitative method such as the Cohort-Survival Ratio…
Descriptors: School Districts, Rural Schools, Enrollment Projections, Enrollment Trends
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Gauthier, N. – International Journal of Mathematical Education in Science & Technology, 2006
This note describes a method for evaluating the sums of the m -th powers of n consecutive terms of a general arithmetic sequence: { S[subscript m] = 0, 1, 2,...}. The method is based on the use of a differential operator that is repeatedly applied to a generating function. A known linear recurrence is then obtained and the m-th sum, S[subscript…
Descriptors: Arithmetic, Mathematics Education, Numbers, Matrices
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Ferrando, Pere J. – Applied Psychological Measurement, 2004
This study used kernel-smoothing procedures to estimate the item characteristic functions (ICFs) of a set of continuous personality items. The nonparametric ICFs were compared with the ICFs estimated (a) by the linear model and (b) by Samejima's continuous-response model. The study was based on a conditioned approach and used an error-in-variables…
Descriptors: Personality Traits, Personality Assessment, Measurement Techniques, Evaluation Methods
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