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Lei, Ming; Lomax, Richard G. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
This simulation study investigated the robustness of structural equation modeling to different degrees of nonnormality under 2 estimation methods, generalized least squares and maximum likelihood, and 4 sample sizes, 100, 250, 500, and 1,000. Each of the slight and severe nonnormality degrees was comprised of pure skewness, pure kurtosis, and both…
Descriptors: Structural Equation Models, Simulation, Sample Size, Least Squares Statistics
Savalei, Victoria; Bentler, Peter M. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
This article proposes a new approach to the statistical analysis of pairwisepresent covariance structure data. The estimator is based on maximizing the complete data likelihood function, and the associated test statistic and standard errors are corrected for misspecification using Satorra-Bentler corrections. A Monte Carlo study was conducted to…
Descriptors: Evaluation Methods, Maximum Likelihood Statistics, Statistical Analysis, Monte Carlo Methods
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
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
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
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
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
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
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
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
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
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
Wood, Michael – Journal of Statistics Education, 2005
This article explores the uses of a simulation model (the two bucket story)--implemented by a stand-alone computer program, or an Excel workbook (both on the web)--that can be used for deriving bootstrap confidence intervals, and simulating various probability distributions. The strengths of the model are its generality, the fact that it provides…
Descriptors: Intervals, Computer Software, Robustness (Statistics), Probability
Camos, Valerie – European Journal of Psychology of Education, 2003
The aim of this study was twofold. First, it evaluated the developmental changes on frequency of use, efficiency, and choice of counting strategies from childhood to adulthood. Second, it determined the adaptation of the counting strategies to the structural features of the task. Participants in seven age groups ranging from 5-year-old to…
Descriptors: Computation, Multiplication, Problem Solving, Arithmetic
Salisbury, K. L.; Knight, D. G. – International Journal of Mathematical Education in Science and Technology, 2002
The way in which computer algebra systems, such as Maple, have made the study of physical problems of some considerable complexity accessible to mathematicians and scientists with modest computational skills is illustrated by solving the multiple pendulum problem. A solution is obtained for four pendulums with no restriction on the size of the…
Descriptors: Laboratory Equipment, Algebra, Computer Software, Computation

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