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Bhatt, Rachana – Journal of School Choice, 2014
From 1982-1997, 35 states adopted legislation, referred to as homeschool rights, that explicitly granted families the right to educate their children at home. Using data from the National Household Education Survey, this article examines the impact that this legislation has had on the decision to homeschool a child versus the alternatives of…
Descriptors: School Choice, Home Schooling, Educational Legislation, Parent Rights
Algina, James; Keselman, H. J.; Penfield, Randall D. – Educational and Psychological Measurement, 2010
The increase in the squared multiple correlation coefficient ([delta]R[superscript 2]) associated with a variable in a regression equation is a commonly used measure of importance in regression analysis. Algina, Keselman, and Penfield found that intervals based on asymptotic principles were typically very inaccurate, even though the sample size…
Descriptors: Computation, Statistical Analysis, Correlation, Statistical Inference
Kaplan, David; Depaoli, Sarah – Structural Equation Modeling: A Multidisciplinary Journal, 2011
This article examines the problem of specification error in 2 models for categorical latent variables; the latent class model and the latent Markov model. Specification error in the latent class model focuses on the impact of incorrectly specifying the number of latent classes of the categorical latent variable on measures of model adequacy as…
Descriptors: Markov Processes, Longitudinal Studies, Probability, Item Response Theory
Birnbaum, Michael H. – Psychological Review, 2011
This article contrasts 2 approaches to analyzing transitivity of preference and other behavioral properties in choice data. The approach of Regenwetter, Dana, and Davis-Stober (2011) assumes that on each choice, a decision maker samples randomly from a mixture of preference orders to determine whether "A" is preferred to "B." In contrast, Birnbaum…
Descriptors: Evidence, Testing, Computation, Probability
Teaching an Application of Bayes' Rule for Legal Decision-Making: Measuring the Strength of Evidence
Satake, Eiki; Murray, Amy Vashlishan – Journal of Statistics Education, 2014
Although Bayesian methodology has become a powerful approach for describing uncertainty, it has largely been avoided in undergraduate statistics education. Here we demonstrate that one can present Bayes' Rule in the classroom through a hypothetical, yet realistic, legal scenario designed to spur the interests of students in introductory- and…
Descriptors: Bayesian Statistics, College Mathematics, Mathematics Instruction, Statistics
Dumenci, Levent; Yates, Phillip D. – Educational and Psychological Measurement, 2012
Estimation problems associated with the correlated-trait correlated-method (CTCM) parameterization of a multitrait-multimethod (MTMM) matrix are widely documented: the model often fails to converge; even when convergence is achieved, one or more of the parameter estimates are outside the admissible parameter space. In this study, the authors…
Descriptors: Correlation, Models, Multitrait Multimethod Techniques, Matrices
Curto, Vilsa E.; Fryer, Roland G., Jr. – National Bureau of Economic Research, 2011
The SEED schools, which combine a "No Excuses'' charter model with a five-day-a-week boarding program, are America's only urban public boarding schools for the poor. We provide the first causal estimate of the impact of attending SEED schools on academic achievement, with the goal of understanding whether changing a student's environment through…
Descriptors: Charter Schools, Boarding Schools, Economically Disadvantaged, Outcomes of Education
Dong, Nianbo – Society for Research on Educational Effectiveness, 2011
The purpose of this study is through Monte Carlo simulation to compare several propensity score methods in approximating factorial experimental design and identify best approaches in reducing bias and mean square error of parameter estimates of the main and interaction effects of two factors. Previous studies focused more on unbiased estimates of…
Descriptors: Research Design, Probability, Monte Carlo Methods, Simulation
Curran-Everett, Douglas – Advances in Physiology Education, 2011
Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This seventh installment of "Explorations in Statistics" explores regression, a technique that estimates the nature of the relationship between two things for which we may only surmise a mechanistic or predictive…
Descriptors: Regression (Statistics), Statistics, Models, Correlation
Rapedius, Kevin – European Journal of Physics, 2011
Here, we present complex resonance states (or Siegert states) that describe the tunnelling decay of a trapped quantum particle from an intuitive point of view that naturally leads to the easily applicable Siegert approximation method. This can be used for analytical and numerical calculations of complex resonances of both the linear and nonlinear…
Descriptors: Quantum Mechanics, Equations (Mathematics), Computation, Energy
Jo, Booil; Stuart, Elizabeth A.; MacKinnon, David P.; Vinokur, Amiram D. – Multivariate Behavioral Research, 2011
Mediation analysis uses measures of hypothesized mediating variables to test theory for how a treatment achieves effects on outcomes and to improve subsequent treatments by identifying the most efficient treatment components. Most current mediation analysis methods rely on untested distributional and functional form assumptions for valid…
Descriptors: Probability, Scores, Statistical Analysis, Computation
Nutting, Andrew W. – Education Economics, 2011
The present paper determines whether community college transfer students have higher baccalaureate rates when they enroll in four-year colleges and departments that have larger shares of transfer students. Transfers attending non-technical campuses with larger shares of transfers have higher eight-year baccalaureate rates, but within-campus…
Descriptors: College Transfer Students, Undergraduate Students, Community Colleges, Graduation Rate
Schuster, Christof; Yuan, Ke-Hai – Journal of Educational and Behavioral Statistics, 2011
Because of response disturbances such as guessing, cheating, or carelessness, item response models often can only approximate the "true" individual response probabilities. As a consequence, maximum-likelihood estimates of ability will be biased. Typically, the nature and extent to which response disturbances are present is unknown, and, therefore,…
Descriptors: Computation, Item Response Theory, Probability, Maximum Likelihood Statistics
Rijmen, Frank – Journal of Educational Measurement, 2010
Testlet effects can be taken into account by incorporating specific dimensions in addition to the general dimension into the item response theory model. Three such multidimensional models are described: the bi-factor model, the testlet model, and a second-order model. It is shown how the second-order model is formally equivalent to the testlet…
Descriptors: Computation, Item Response Theory, Models, Maximum Likelihood Statistics
Quinn, Robert J.; Ball, Tom S.; You, Zhixia – Teaching Statistics: An International Journal for Teachers, 2010
We present a simple card game whose payout depends on a player's strategy, as well as on chance. Solutions require the use of conditional analysis and the computation of expected values.
Descriptors: Teaching Methods, Mathematics Instruction, Probability, Games

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