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Showing 91 to 104 of 104 results Save | Export
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Barchard, Kimberly A.; Hakstian, A. Ralph – Educational and Psychological Measurement, 1997
The distinction between Type 1 and Type 12 sampling in connection with measurement data is discussed, and a method is presented for simulating data arising from Type 12 sampling. A Monte Carlo study is described that shows conditions under which precise confidence level control under Type 12 sampling is maintained. (SLD)
Descriptors: Models, Monte Carlo Methods, Sampling, Simulation
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Bonett, Douglas G.; Seier, Edith – Journal of Educational and Behavioral Statistics, 2003
Derived a confidence interval for a ratio of correlated mean absolute deviations. Simulation results show that it performs well in small sample sizes across realistically nonnormal distributions and that it is almost as powerful as the most powerful test examined by R. Wilcox (1990). (SLD)
Descriptors: Correlation, Equations (Mathematics), Hypothesis Testing, Sample Size
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Shi, Jian-Qing; Lee, Sik-Yum – Psychometrika, 1997
Explores posterior analysis in estimating factor score in a confirmatory factor analysis model with polytomous, censored or truncated data, and studies the accuracy of Bayesian estimates through simulation. Results support these Bayesian estimates for statistical inference. (SLD)
Descriptors: Bayesian Statistics, Estimation (Mathematics), Factor Structure, Scores
Peer reviewed Peer reviewed
Lenk, Peter J.; DeSarbo, Wayne S. – Psychometrika, 2000
Presents a hierarchical Bayes approach to modeling parameter heterogeneity in generalized linear models. The approach combines the flexibility of semiparametric latent class models that assume common parameters for each subpopulation and the parsimony of random effects models that assume normal distributions for the regression parameters.…
Descriptors: Bayesian Statistics, Monte Carlo Methods, Simulation, Statistical Distributions
Muthen, Bengt – 1994
This paper investigates methods that avoid using multiple groups to represent the missing data patterns in covariance structure modeling, attempting instead to do a single-group analysis where the only action the analyst has to take is to indicate that data is missing. A new covariance structure approach developed by B. Muthen and G. Arminger is…
Descriptors: Bayesian Statistics, Estimation (Mathematics), Maximum Likelihood Statistics, Monte Carlo Methods
Peer reviewed Peer reviewed
Rost, Jurgen; von Davier, Matthias – Applied Psychological Measurement, 1994
A new item-fit index is proposed that is both a descriptive measure of deviance of single items and an index for statistical inference. This index is based on assumptions of the dichotomous and polytomous Rasch models for items with ordered categories. A simulation study is described. (SLD)
Descriptors: Equations (Mathematics), Goodness of Fit, Item Response Theory, Simulation
Zwick, Rebecca; Thayer, Dorothy T. – 1994
Several recent studies have investigated the application of statistical inference procedures to the analysis of differential item functioning (DIF) in test items that are scored on an ordinal scale. Mantel's extension of the Mantel-Haenszel test is a possible hypothesis-testing method for this purpose. The development of descriptive statistics for…
Descriptors: Error of Measurement, Evaluation Methods, Hypothesis Testing, Item Bias
Peer reviewed Peer reviewed
Cohen, Jon; Snow, Stephanie – Journal of Educational Measurement, 2002
Studied the impact of changes in item difficulty on National Assessment of Educational Progress (NAEP) estimates over time through a Monte Carlo study that simulated the responses of 1990 NAEP mathematics respondents to 1990 and 1996 NAEP mathematics items. Results support the idea that these changes have not affected the NAEP trend line.…
Descriptors: Change, Difficulty Level, Estimation (Mathematics), Mathematics Tests
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Hakstian, A. Ralph; And Others – Psychometrika, 1989
Four measurement designs are presented for use with correlation coefficients corrected, in one variable, for attenuation due to unreliability (partially disattenuated). Associated asymptotic variance/covariance expressions are presented. Empirical simulation results illustrate the satisfactory Type I error control and statistical power of the…
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Equations (Mathematics)
Peer reviewed Peer reviewed
Huynh, Huynh – Journal of Educational Statistics, 1990
Procedures based on latent trait models and the Rasch model are described for computation and asymptotic statistical inference for two decision consistency indexes often used in mastery or competence testing. Simulations were conducted for typical mastery testing situations to illustrate the procedures. (SLD)
Descriptors: Computation, Decision Making, Equations (Mathematics), Item Response Theory
de Vos, Henny – 1995
School-effectiveness research is constrained by ambiguous factors of effectiveness and a lack of theory. This paper presents findings of a study that used simulation to improve school-effectiveness theory. Simulation is also used to explore the direct effects of schools on individual learning. After introducing simulation models, the paper…
Descriptors: Academic Achievement, Educational Policy, Effective Schools Research, Foreign Countries
Sandler, Andrew B. – 1987
Statistical significance is misused in educational and psychological research when it is applied as a method to establish the reliability of research results. Other techniques have been developed which can be correctly utilized to establish the generalizability of findings. Methods that do provide such estimates are known as invariance or…
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Discriminant Analysis
Peer reviewed Peer reviewed
Derry, Sharon; And Others – Teaching of Psychology, 1995
Maintains that literacy and informed decision making in an uncertain world require the ability to reason statistically. Describes a course designed to help students use statistical concepts as tools for social reasoning within simulations of real-world problems. Describes four types of instructional activities used. (CFR)
Descriptors: Cognitive Processes, Course Content, Course Descriptions, Critical Thinking
Huynh, Huynh; Saunders, Joseph C. – 1980
A basic technical framework is provided for the design and use of mastery tests. The Mastery Testing Project (MTP) prepared this framework using advanced mathematics supplemented with computer simulation based on real test data collected by the South Carolina Statewide Testing Program. The MTP focused on basic technical issues encountered in using…
Descriptors: Ability Identification, Annotated Bibliographies, Bayesian Statistics, Computer Assisted Testing
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