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Bosshardt, Donald I.; Lichtenstein, Larry; Zaporowski, Mark P. – Contemporary Issues in Education Research, 2009
This paper develops a series of models for optimal tuition pricing for private colleges and universities. The university is assumed to be a profit maximizing, price discriminating monopolist. The enrollment decision of student's is stochastic in nature. The university offers an effective tuition rate, comprised of stipulated tuition less financial…
Descriptors: Models, Tuition, Private Colleges, Simulation
Jance, Marsha; Thomopoulos, Nick – American Journal of Business Education, 2009
The extreme interval values and statistics (expected value, median, mode, standard deviation, and coefficient of variation) for the smallest (min) and largest (max) values of exponentially distributed variables with parameter ? = 1 are examined for different observation (sample) sizes. An extreme interval value g[subscript a] is defined as a…
Descriptors: Intervals, Statistics, Predictor Variables, Sample Size
Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2009
For RCTs of education interventions, it is often of interest to estimate associations between student and mediating teacher practice outcomes, to examine the extent to which the study's conceptual model is supported by the data, and to identify specific mediators that are most associated with student learning. This paper develops statistical power…
Descriptors: Statistical Analysis, Intervention, Teacher Influence, Teaching Methods
National High School Center, 2009
This fact sheet highlights the statistics of the current status of high schools in the United States. It provides information on the following variables: (1) demography of high school students; (2) students with disabilities; (3) high school student achievement; (4) the schools; (5) school funding; (6) high school graduation rate; (7) high school…
Descriptors: High Schools, High School Students, Statistics, Demography
Davis, Nicole; Cannistraci, Christopher J.; Rogers, Baxter P.; Gatenby, J. Christopher; Fuchs, Lynn S.; Anderson, Adam W.; Gore, John C. – Neuropsychologia, 2009
We used functional magnetic resonance imaging (fMRI) to explore the patterns of brain activation associated with different levels of performance in exact and approximate calculation tasks in well-defined cohorts of children with mathematical calculation difficulties (MD) and typically developing controls. Both groups of children activated the same…
Descriptors: Computation, Arithmetic, Problem Solving, At Risk Persons
Dowker, Ann – Cognitive Development, 2009
339 children aged 6 and 7 at Oxford primary schools took part in a study of arithmetic. 204 of the children had been selected by their teachers as having mathematical difficulties and the other 135 children were unselected. They were assigned to an Addition Performance Level on the basis of a calculation pretest, and then given Dowker's (1998)…
Descriptors: Computation, Arithmetic, Teaching Methods, Mathematics Skills
Kercood, Suneeta; Grskovic, Janice A. – Education and Treatment of Children, 2009
This study evaluated the effects of color highlighting during a math computation task on performance accuracy and behavior of students with attention problems. Using a multiple baseline across participants design, three students solved math computation problems on worksheets with and without highlighting. Off-task behavior recorded from videotape…
Descriptors: Time on Task, Student Behavior, Attention Deficit Disorders, Color
Sizoo, Bram B.; van den Brink, Wim; Gorissen-van Eenige, Marielle; Koeter, Maarten W.; van Wijngaarden-Cremers, Patricia J. M.; van der Gaag, Rutger Jan – Journal of Autism and Developmental Disorders, 2009
It is unknown whether the Autism-spectrum quotient (AQ) can discriminate between Autism Spectrum Disorder (ASD) and Attention Deficit and Hyperactivity Disorder (ADHD) with or without comorbid Substance Use Disorder (SUD). ANOVA's were used to analyse the mean AQ (sub)scores of 129 adults with ASD or ADHD. We applied receiver operating…
Descriptors: Autism, Attention Deficit Hyperactivity Disorder, Symptoms (Individual Disorders), Pervasive Developmental Disorders
Cenadelli, D.; Zeni, M.; Bernagozzi, A.; Calcidese, P.; Ferreira, L.; Hoang, C.; Rijsdijk, C. – European Journal of Physics, 2009
Trigonometric parallax is a powerful method to work out the distance of celestial bodies, and it was used in the past to measure the distance of the Moon, Venus, Mars and nearby stars. We set up an observation campaign for high school and undergraduate students with the purpose to measure both the Moon's and Mars' parallax. To have a large enough…
Descriptors: Undergraduate Students, Astronomy, Foreign Countries, Measurement Techniques
Clauser, Brian E.; Harik, Polina; Margolis, Melissa J.; McManus, I. C.; Mollon, Jennifer; Chis, Liliana; Williams, Simon – Applied Measurement in Education, 2009
Numerous studies have compared the Angoff standard-setting procedure to other standard-setting methods, but relatively few studies have evaluated the procedure based on internal criteria. This study uses a generalizability theory framework to evaluate the stability of the estimated cut score. To provide a measure of internal consistency, this…
Descriptors: Generalizability Theory, Group Discussion, Standard Setting (Scoring), Scoring
Murphy, Daniel L.; Pituch, Keenan A. – Journal of Experimental Education, 2009
The authors examined the robustness of multilevel linear growth curve modeling to misspecification of an autoregressive moving average process. As previous research has shown (J. Ferron, R. Dailey, & Q. Yi, 2002; O. Kwok, S. G. West, & S. B. Green, 2007; S. Sivo, X. Fan, & L. Witta, 2005), estimates of the fixed effects were unbiased, and Type I…
Descriptors: Sample Size, Computation, Evaluation Methods, Longitudinal Studies
Duerdoth, Ian – Physics Education, 2009
The subject of uncertainties (sometimes called errors) is traditionally taught (to first-year science undergraduates) towards the end of a course on statistics that defines probability as the limit of many trials, and discusses probability distribution functions and the Gaussian distribution. We show how to introduce students to the concepts of…
Descriptors: Least Squares Statistics, Probability, College Science, Undergraduate Study
Sullivan, Paul – Journal of Human Resources, 2009
This paper develops an empirical occupational choice model that corrects for misclassification in occupational choices and measurement error in occupation-specific work experience. The model is used to estimate the extent of measurement error in occupation data and quantify the bias that results from ignoring measurement error in occupation codes…
Descriptors: Computation, Models, Career Choice, Error Correction
Dykiert, Dominika; Gale, Catharine R.; Deary, Ian J. – Intelligence, 2009
This study investigated the possibility that apparent sex differences in IQ are at least partly created by the degree of sample restriction from the baseline population. We used a nationally representative sample, the 1970 British Cohort Study. Sample sizes varied from 6518 to 11,389 between data-collection sweeps. Principal components analysis of…
Descriptors: Psychological Testing, Cognitive Tests, Intelligence Quotient, Factor Analysis
Man, Yiu-Kwong – International Journal of Mathematical Education in Science and Technology, 2007
A simple algorithm for computing the partial fraction expansions of proper rational functions with multiple poles is presented. The main idea is to use the Heaviside's cover-up technique to determine the numerators of the partial fractions and polynomial divisions to reduce the multiplicities of the poles involved successively, without the use of…
Descriptors: Calculus, Mathematics, Computation, Methods

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