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Carver, Andrew B. – Decision Sciences Journal of Innovative Education, 2013
Equity Indexed Annuities (EIAs) are controversial financial products because the payoffs to investors are based on formulas that are supposedly too complex for average investors to understand. This brief describes how Monte Carlo simulation can provide insight into the true risk and return of an EIA. This approach can be used as a project…
Descriptors: Monte Carlo Methods, Investigations, Financial Services, Simulation
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Hoyer, Chad E.; Kegerreis, Jeb S. – Journal of Chemical Education, 2013
The essentials of Monte Carlo integration are presented for use in an upper-level physical chemistry setting. A Mathcad document that aids in the dissemination and utilization of this information is described and is available in the Supporting Information. A brief outline of Monte Carlo integration is given, along with ideas and pedagogy for…
Descriptors: Monte Carlo Methods, Chemistry, Physics, Computer Assisted Design
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Jin, Ying; Myers, Nicholas D.; Ahn, Soyeon; Penfield, Randall D. – Educational and Psychological Measurement, 2013
The Rasch model, a member of a larger group of models within item response theory, is widely used in empirical studies. Detection of uniform differential item functioning (DIF) within the Rasch model typically employs null hypothesis testing with a concomitant consideration of effect size (e.g., signed area [SA]). Parametric equivalence between…
Descriptors: Test Bias, Effect Size, Item Response Theory, Comparative Analysis
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Tian, Wei; Cai, Li; Thissen, David; Xin, Tao – Educational and Psychological Measurement, 2013
In item response theory (IRT) modeling, the item parameter error covariance matrix plays a critical role in statistical inference procedures. When item parameters are estimated using the EM algorithm, the parameter error covariance matrix is not an automatic by-product of item calibration. Cai proposed the use of Supplemented EM algorithm for…
Descriptors: Item Response Theory, Computation, Matrices, Statistical Inference
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Sun, Shuyan; Pan, Wei – Journal of Experimental Education, 2013
Regression discontinuity design is an alternative to randomized experiments to make causal inference when random assignment is not possible. This article first presents the formal identification and estimation of regression discontinuity treatment effects in the framework of Rubin's causal model, followed by a thorough literature review of…
Descriptors: Regression (Statistics), Computation, Accuracy, Causal Models
Williams, Ryan T. – ProQuest LLC, 2012
Combining multiple regression estimates with meta-analysis has continued to be a difficult task. A variety of methods have been proposed and used to combine multiple regression slope estimates with meta-analysis, however, most of these methods have serious methodological and practical limitations. The purpose of this study was to explore the use…
Descriptors: Multiple Regression Analysis, Meta Analysis, Evaluation Methods, Computation
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Kim, Eun Sook; Kwok, Oi-man; Yoon, Myeongsun – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Testing factorial invariance has recently gained more attention in different social science disciplines. Nevertheless, when examining factorial invariance, it is generally assumed that the observations are independent of each other, which might not be always true. In this study, we examined the impact of testing factorial invariance in multilevel…
Descriptors: Monte Carlo Methods, Testing, Social Science Research, Factor Structure
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Sun, Shan-Shan; Tao, Jian; Chang, Hua-Hua; Shi, Ning-Zhong – Applied Psychological Measurement, 2012
For mixed-type tests composed of dichotomous and polytomous items, polytomous items often yield more information than dichotomous items. To reflect the difference between the two types of items and to improve the precision of ability estimation, an adaptive weighted maximum-a-posteriori (WMAP) estimation is proposed. To evaluate the performance of…
Descriptors: Monte Carlo Methods, Computation, Item Response Theory, Weighted Scores
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D'hondt, Fanny; Van Praag, Lore; Stevens, Peter A. J.; Van Houtte, Mieke – Comparative Education Review, 2015
While many ethnic minority students underachieve compared with their ethnic majority peers, they often hold very positive school attitudes. Mickelson (1990) explained this attitude-achievement paradox by the existence of a double set of attitudes. Abstract attitudes reflect the dominant ideas about schooling, while concrete attitudes refer to a…
Descriptors: Underachievement, Minority Group Students, Student Attitudes, Positive Attitudes
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Culpepper, Steven Andrew; Aguinis, Herman – Psychological Methods, 2011
Analysis of covariance (ANCOVA) is used widely in psychological research implementing nonexperimental designs. However, when covariates are fallible (i.e., measured with error), which is the norm, researchers must choose from among 3 inadequate courses of action: (a) know that the assumption that covariates are perfectly reliable is violated but…
Descriptors: Statistical Analysis, Error of Measurement, Monte Carlo Methods, Structural Equation Models
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Skidmore, Susan Troncoso; Thompson, Bruce – Journal of Experimental Education, 2011
In the present Monte Carlo simulation study, the authors compared bias and precision of 7 sampling error corrections to the Pearson r[superscript 2] under 6 x 3 x 6 conditions (i.e., population ρ values of 0.0, 0.1, 0.3, 0.5, 0.7, and 0.9, respectively; population shapes normal, skewness = kurtosis = 1, and skewness = -1.5 with kurtosis =…
Descriptors: Monte Carlo Methods, Sampling, Error Correction, Statistical Bias
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Sosnowski, Stanislaw – Journal of Chemical Education, 2013
Free software for the demonstration of the features of homo- and copolymerization processes (free radical, controlled radical, and living) is described. The software is based on the Monte Carlo algorithms and offers insight into the kinetics, molecular weight distribution, and microstructure of the macromolecules formed in those processes. It also…
Descriptors: Computer Software, Computer Uses in Education, Educational Technology, Science Instruction
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Sweet, Tracy M.; Thomas, Andrew C.; Junker, Brian W. – Journal of Educational and Behavioral Statistics, 2013
Intervention studies in school systems are sometimes aimed not at changing curriculum or classroom technique, but rather at changing the way that teachers, teaching coaches, and administrators in schools work with one another--in short, changing the professional social networks of educators. Current methods of social network analysis are…
Descriptors: Educational Research, Models, Social Networks, Network Analysis
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Society for Research on Educational Effectiveness, 2013
One of the vexing problems in the analysis of SSD is in the assessment of the effect of intervention. Serial dependence notwithstanding, the linear model approach that has been advanced involves, in general, the fitting of regression lines (or curves) to the set of observations within each phase of the design and comparing the parameters of these…
Descriptors: Research Design, Effect Size, Intervention, Statistical Analysis
Fruehwald, Josef – ProQuest LLC, 2013
This dissertation addresses the broad question about how phonology and phonetics are interrelated, specifically how phonetic language changes, which gradually alter the phonetics of speech sounds, affect the phonological system of the language, and vice versa. Some questions I address are: (i) What aspects of speakers' knowledge of their language…
Descriptors: Phonology, Phonetics, Statistical Analysis, Correlation
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