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Wang, Tianyou; Lee, Won-Chan; Brennan, Robert L.; Kolen, Michael J. – Applied Psychological Measurement, 2008
This article uses simulation to compare two test equating methods under the common-item nonequivalent groups design: the frequency estimation method and the chained equipercentile method. An item response theory model is used to define the true equating criterion, simulate group differences, and generate response data. Three linear equating…
Descriptors: Equated Scores, Item Response Theory, Simulation, Comparative Analysis

Zimmerman, Donald W.; Williams, Richard H. – Applied Psychological Measurement, 2000
Restricted the range of nonnormal distributions by eliminating scores above a designated cutoff value or eliminating scores above or below the mean by a certain distance. Results of a simulation study show that range restriction sometimes increased the correlation between variables having outlier prone distributions. Discusses practical…
Descriptors: Correlation, Scores, Simulation, Statistical Distributions

Baker, Frank B. – Applied Psychological Measurement, 1997
Examined the sampling distributions of equating coefficients produced by the characteristic curve method for tests using graded and nominal response scoring using simulated data. For both models and across all three equating situations, the sampling distributions were generally bell-shaped and peaked, and occasionally had a small degree of…
Descriptors: Equated Scores, Sampling, Simulation, Statistical Distributions

Zeng, Lingjia; And Others – Applied Psychological Measurement, 1994
A general delta method is described for computing the standard error (SE) of a chain of linear equations. The general delta method derives the SEs directly from the moments of the score distributions obtained in the equating chain. Computer simulations demonstrate the method. (SLD)
Descriptors: Computer Simulation, Equated Scores, Error of Measurement, Statistical Distributions

Zeng, Lingjia – Applied Psychological Measurement, 1997
Proposes a marginal Bayesian estimation procedure to improve item parameter estimates for the three parameter logistic model. Computer simulation suggests that implementing the marginal Bayesian estimation algorithm with four-parameter beta prior distributions and then updating the priors with empirical means of updated intermediate estimates can…
Descriptors: Algorithms, Bayesian Statistics, Estimation (Mathematics), Statistical Distributions

Emons, Wilco H. M.; Meijer, Rob R.; Sijtsma, Klaas – Applied Psychological Measurement, 2002
Studied whether the theoretical sampling distribution of the U3 person-fit statistic is in agreement with the simulated sampling distribution under different item response theory models and varying item and test characteristics. Simulation results suggest that the use of standard normal deviates for the standardized version of the U3 statistic may…
Descriptors: Item Response Theory, Sampling, Simulation, Statistical Distributions

Fischer, Gerhard H. – Applied Psychological Measurement, 2003
Compared approaches to determining the precision of gain scores: (1) the asymptotic normal distribution of the maximum likelihood estimator of the person parameter; and (2) the exact conditional distribution of the gain score. Use of three data sets illustrates that these methods yield more relevant and more detailed information than traditional…
Descriptors: Estimation (Mathematics), Item Response Theory, Maximum Likelihood Statistics, Reliability

Nering, Michael L. – Applied Psychological Measurement, 1995
A person-fit method that allows researchers to identify nonfitting response vectors is the l(z) statistic. Simulation results show that l(z) may not perform as expected when estimated person parameters are used rather than true person parameters. Other considerations in using true and estimated person parameters are discussed. (SLD)
Descriptors: Estimation (Mathematics), Item Response Theory, Research Methodology, Responses

Baker, Frank B. – Applied Psychological Measurement, 1996
Using the characteristic curve method for dichotomously scored test items, the sampling distributions of equating coefficients were examined. Simulations indicate that for the equating conditions studied, the sampling distributions of the equating coefficients appear to have acceptable characteristics, suggesting confidence in the values obtained…
Descriptors: Equated Scores, Item Response Theory, Sampling, Statistical Distributions

van Krimpen-Stoop, Edith M. L. A.; Meijer, Rob R. – Applied Psychological Measurement, 2002
Compared the nominal and empirical null distributions of the standardized log-likelihood statistic for polytomous items for paper-and-pencil (P&P) and computerized adaptive tests (CATs). Results show that the empirical distribution of the statistic differed from the assumed standard normal distribution for both P&P tests and CATs. Also…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Response Theory, Statistical Distributions

Samejima, Fumiko – Applied Psychological Measurement, 1994
The reliability coefficient is predicted from the test information function (TIF) or two modified TIF formulas and a specific trait distribution. Examples illustrate the variability of the reliability coefficient across different trait distributions, and results are compared with empirical reliability coefficients. (SLD)
Descriptors: Adaptive Testing, Error of Measurement, Estimation (Mathematics), Reliability

Alsawalmeh, Yousef M.; Feldt, Leonard S. – Applied Psychological Measurement, 1992
An approximate statistical test is derived for the hypothesis that the intraclass reliability coefficients associated with two measurement procedures are equal. Control of Type 1 error is investigated by comparing empirical sampling distributions of the test statistic with its derived theoretical distribution. A numerical illustration is…
Descriptors: Equations (Mathematics), Hypothesis Testing, Mathematical Models, Measurement Techniques

Fowler, Robert L. – Applied Psychological Measurement, 1992
A Monte Carlo simulation explored how to optimize power in the extreme groups strategy when sampling from nonnormal distributions. Results show that the optimum percent for the extreme group selection was approximately the same for all population shapes, except the extremely platykurtic (uniform) distribution. (SLD)
Descriptors: Construct Validity, Equations (Mathematics), Mathematical Models, Monte Carlo Methods

Batley, Rose-Marie; Boss, Marvin W. – Applied Psychological Measurement, 1993
The adequacy of multidimensional trait and item parameters using multidimensional item response theory analysis was studied through simulation using different degrees of correlation between two trait dimensions and the existence of a restricted trait on the second dimension. Conditions allowing adequate recovery of trait and item parameters are…
Descriptors: Computer Simulation, Correlation, Equations (Mathematics), Estimation (Mathematics)

Hanson, Bradley A.; And Others – Applied Psychological Measurement, 1993
The delta method was used to derive standard errors (SES) of the Levine observed score and Levine true score linear test equating methods using data from two test forms. SES derived without the normality assumption and bootstrap SES were very close. The situation with skewed score distributions is also discussed. (SLD)
Descriptors: Equated Scores, Equations (Mathematics), Error of Measurement, Sampling
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