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Showing 1 to 15 of 40 results Save | Export
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Kulinskaya, Elena; Hoaglin, David C.; Bakbergenuly, Ilyas; Newman, Joseph – Research Synthesis Methods, 2021
The conventional Q statistic, using estimated inverse-variance (IV) weights, underlies a variety of problems in random-effects meta-analysis. In previous work on standardized mean difference and log-odds-ratio, we found superior performance with an estimator of the overall effect whose weights use only group-level sample sizes. The Q statistic…
Descriptors: Q Methodology, Meta Analysis, Statistical Analysis, Statistical Distributions
Benjamin Lu; Eli Ben-Michael; Avi Feller; Luke Miratrix – Journal of Educational and Behavioral Statistics, 2023
In multisite trials, learning about treatment effect variation across sites is critical for understanding where and for whom a program works. Unadjusted comparisons, however, capture "compositional" differences in the distributions of unit-level features as well as "contextual" differences in site-level features, including…
Descriptors: Statistical Analysis, Statistical Distributions, Program Implementation, Comparative Analysis
Benjamin Lu; Eli Ben-Michael; Avi Feller; Luke Miratrix – Grantee Submission, 2022
In multisite trials, learning about treatment effect variation across sites is critical for understanding where and for whom a program works. Unadjusted comparisons, however, capture "compositional" differences in the distributions of unit-level features as well as "contextual" differences in site-level features, including…
Descriptors: Statistical Analysis, Statistical Distributions, Program Implementation, Comparative Analysis
Reardon, Sean F.; Shear, Benjamin R.; Castellano, Katherine E.; Ho, Andrew D. – Journal of Educational and Behavioral Statistics, 2017
Test score distributions of schools or demographic groups are often summarized by frequencies of students scoring in a small number of ordered proficiency categories. We show that heteroskedastic ordered probit (HETOP) models can be used to estimate means and standard deviations of multiple groups' test score distributions from such data. Because…
Descriptors: Scores, Statistical Analysis, Models, Computation
Hurwitz, Michael; Kumar, Amal – College Board, 2015
The nation's most selective colleges are often the centerpiece of the discussion surrounding college choice, and trends in college selectivity are relayed through stories of plunging admission rates at a few high-profile postsecondary institutions and anecdotes of model high school students unable to secure seats at these colleges. Such stories…
Descriptors: Higher Education, Educational Demand, Educational Supply, College Admission
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Osborne, Jason W. – Practical Assessment, Research & Evaluation, 2013
Osborne and Waters (2002) focused on checking some of the assumptions of multiple linear regression. In a critique of that paper, Williams, Grajales, and Kurkiewicz correctly clarify that regression models estimated using ordinary least squares require the assumption of normally distributed errors, but not the assumption of normally distributed…
Descriptors: Multiple Regression Analysis, Least Squares Statistics, Computation, Statistical Analysis
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Winters, John V.; Xu, Weineng – Journal of Economic Education, 2014
Economics has been shown to be a relatively high-earning college major, but geographic differences in earnings have been largely overlooked. The authors of this article use the American Community Survey to examine geographic differences in both absolute earnings and relative earnings for economics majors. They find that there are substantial…
Descriptors: Geographic Location, Economics Education, Economics, Salary Wage Differentials
Cai, Li; Monroe, Scott – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
We propose a new limited-information goodness of fit test statistic C[subscript 2] for ordinal IRT models. The construction of the new statistic lies formally between the M[subscript 2] statistic of Maydeu-Olivares and Joe (2006), which utilizes first and second order marginal probabilities, and the M*[subscript 2] statistic of Cai and Hansen…
Descriptors: Item Response Theory, Models, Goodness of Fit, Probability
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Keaton, Patrick – National Center for Education Statistics, 2013
The Common Core of Data (CCD) is an annual collection of public elementary and secondary education data by the National Center for Education Statistics (NCES) in the Institute of Education Sciences of the U.S. Department of Education. The data presented in this report are selected from the three nonfiscal components of the Common Core of Data…
Descriptors: Statistical Analysis, Statistical Surveys, Elementary Secondary Education, Public Agencies
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Moses, Tim; Holland, Paul W. – Journal of Educational Measurement, 2010
In this study, eight statistical strategies were evaluated for selecting the parameterizations of loglinear models for smoothing the bivariate test score distributions used in nonequivalent groups with anchor test (NEAT) equating. Four of the strategies were based on significance tests of chi-square statistics (Likelihood Ratio, Pearson,…
Descriptors: Equated Scores, Models, Statistical Distributions, Statistical Analysis
Hirose, Hideo – Online Submission, 2011
Teachers often raise a question that whether the lecture questionnaires are necessary or not. In this paper, we first show the recent statistical analysis for the official unsigned questionnaire evaluation results took in our faculty. We have found that: (1) the evaluation scores of lectures by students have been rising up year by year, which…
Descriptors: Item Response Theory, Questionnaires, Statistical Analysis, Course Evaluation
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Shiwalkar, Jyoti P.; Deshpande, M. N. – Teaching Statistics: An International Journal for Teachers, 2009
We find the correlation of two jointly distributed random variables connected with a coin tossing experiment. The marginal distributions are binomial and negative binomial.
Descriptors: Computation, Correlation, Predictor Variables, Experiments
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Desmet, Charlotte; Poulin-Charronnat, Benedicte; Lalitte, Philippe; Perruchet, Pierre – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2009
In a recent study, G. Kuhn and Z. Dienes (2005) reported that participants previously exposed to a set of musical tunes generated by a biconditional grammar subsequently preferred new tunes that respected the grammar over new ungrammatical tunes. Because the study and test tunes did not share any chunks of adjacent intervals, this result may be…
Descriptors: Intervals, Statistical Distributions, Statistical Analysis, Probability
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Moses, Tim; Holland, Paul W. – Journal of Educational Measurement, 2009
In this study, we compared 12 statistical strategies proposed for selecting loglinear models for smoothing univariate test score distributions and for enhancing the stability of equipercentile equating functions. The major focus was on evaluating the effects of the selection strategies on equating function accuracy. Selection strategies' influence…
Descriptors: Equated Scores, Selection, Statistical Analysis, Models
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Pfleger, Ryan; Wiley, Kathryn – National Education Policy Center, 2012
The Colorado legislature has recently taken school discipline policies under review, pursuant to SB 11-133. To inform the discussion in Colorado as well as a national discussion about discipline, this report presents an analysis of the most complete set of Colorado discipline data. It adds to and reinforces existing studies, documenting some…
Descriptors: Student Behavior, Disproportionate Representation, Discipline Policy, Behavior Standards
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