NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1 to 15 of 17 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Levy, Roy – Applied Psychological Measurement, 2010
SEMModComp, a software package for conducting likelihood ratio tests for mean and covariance structure modeling is described. The package is written in R and freely available for download or on request.
Descriptors: Structural Equation Models, Tests, Computer Software, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Chongming; Nay, Sandra; Hoyle, Rick H. – Applied Psychological Measurement, 2010
Lengthy scales or testlets pose certain challenges for structural equation modeling (SEM) if all the items are included as indicators of a latent construct. Three general approaches to modeling lengthy scales in SEM (parceling, latent scoring, and shortening) have been reviewed and evaluated. A hypothetical population model is simulated containing…
Descriptors: Structural Equation Models, Measures (Individuals), Sample Size, Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
de la Torre, Jimmy; Hong, Yuan – Applied Psychological Measurement, 2010
Sample size ranks as one of the most important factors that affect the item calibration task. However, due to practical concerns (e.g., item exposure) items are typically calibrated with much smaller samples than what is desired. To address the need for a more flexible framework that can be used in small sample item calibration, this article…
Descriptors: Sample Size, Markov Processes, Tests, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, Seonghoon – Applied Psychological Measurement, 2010
The three types (generalized, unweighted, and weighted) of least squares methods, proposed by Ogasawara, for estimating item response theory (IRT) linking coefficients under dichotomous models are extended to the graded response model. A simulation study was conducted to confirm the accuracy of the extended formulas, and a real data study was…
Descriptors: Least Squares Statistics, Computation, Item Response Theory, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Furlow, Carolyn F.; Ross, Terris Raiford; Gagne, Phill – Applied Psychological Measurement, 2009
Douglas, Roussos, and Stout introduced the concept of differential bundle functioning (DBF) for identifying the underlying causes of differential item functioning (DIF). In this study, reference group was simulated to have higher mean ability than the focal group on a nuisance dimension, resulting in DIF for each of the multidimensional items…
Descriptors: Test Bias, Test Items, Reference Groups, Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
St-Onge, Christina; Valois, Pierre; Abdous, Belkacem; Germain, Stephane – Applied Psychological Measurement, 2009
To date, there have been no studies comparing parametric and nonparametric Item Characteristic Curve (ICC) estimation methods on the effectiveness of Person-Fit Statistics (PFS). The primary aim of this study was to determine if the use of ICCs estimated by nonparametric methods would increase the accuracy of item response theory-based PFS for…
Descriptors: Sample Size, Monte Carlo Methods, Nonparametric Statistics, Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
Finch, Holmes – Applied Psychological Measurement, 2010
The accuracy of item parameter estimates in the multidimensional item response theory (MIRT) model context is one that has not been researched in great detail. This study examines the ability of two confirmatory factor analysis models specifically for dichotomous data to properly estimate item parameters using common formulae for converting factor…
Descriptors: Item Response Theory, Computation, Factor Analysis, Models
Peer reviewed Peer reviewed
Direct linkDirect link
van Abswoude, Alexandra A. H.; Vermunt, Jeroen K.; Hemker, Bas T. – Applied Psychological Measurement, 2007
Mokken scale analysis can be used for scaling under nonparametric item response theory models. The results may, however, not reflect the underlying dimensionality of data. Various features of Mokken scale analysis--the H coefficient, Mokken scale conditions, and algorithms--may explain this result. In this article, three new H-based objective…
Descriptors: Measures (Individuals), Probability, Simulation, Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
Woods, Carol M. – Applied Psychological Measurement, 2007
Ramsay curve item response theory (RC-IRT) was recently developed to detect and correct for nonnormal latent variables when unidimensional IRT models are fitted to data using maximum marginal likelihood estimation. The purpose of this research is to evaluate the performance of RC-IRT for Likert-type item responses with varying test lengths, sample…
Descriptors: Test Length, Item Response Theory, Sample Size, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Young-Sun – Applied Psychological Measurement, 2007
This study compares the performance of three nonparametric item characteristic curve (ICC) estimation procedures: isotonic regression, smoothed isotonic regression, and kernel smoothing. Smoothed isotonic regression, employed along with an appropriate kernel function, provides better estimates and also satisfies the assumption of strict…
Descriptors: Nonparametric Statistics, Computation, Item Response Theory, Evaluation Methods
Peer reviewed Peer reviewed
Tuerlinckx, Francis; De Boeck, Paul – Applied Psychological Measurement, 1999
Conducted a simulation study to determine how well two models for local item dependency, the constant order interaction and the dimension-dependent interaction models, could be distinguished. Results suggest that when there is good reason to suspect a dimension-dependent interaction, it is possible to detect it if the sample size is at least 500.…
Descriptors: Interaction, Models, Sample Size, Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Christensen, Karl Bang; Kreiner, Svend – Applied Psychological Measurement, 2007
Many statistical tests are designed to test the different assumptions of the Rasch model, but only few are directed at detecting multidimensionality. The Martin-Lof test is an attractive approach, the disadvantage being that its null distribution deviates strongly from the asymptotic chi-square distribution for most realistic sample sizes. A Monte…
Descriptors: Item Response Theory, Monte Carlo Methods, Testing, Models
Peer reviewed Peer reviewed
Harwell, Michael R.; Janosky, Janine E. – Applied Psychological Measurement, 1991
Investigates the BILOG computer program's ability to recover known item parameters for different numbers of items, examinees, and variances of the prior distributions of discrimination parameters for the two-parameter logistic item-response theory model. For samples of at least 250 examinees and 15 items, simulation results support using BILOG.…
Descriptors: Bayesian Statistics, Computer Simulation, Estimation (Mathematics), Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
de la Torre, Jimmy; Stark, Stephen; Chernyshenko, Oleksandr S. – Applied Psychological Measurement, 2006
The authors present a Markov Chain Monte Carlo (MCMC) parameter estimation procedure for the generalized graded unfolding model (GGUM) and compare it to the marginal maximum likelihood (MML) approach implemented in the GGUM2000 computer program, using simulated and real personality data. In the simulation study, test length, number of response…
Descriptors: Computation, Monte Carlo Methods, Markov Processes, Item Response Theory
Peer reviewed Peer reviewed
Baker, Frank B. – Applied Psychological Measurement, 1993
Using simulation, the effect that misspecification of elements in the weight matrix has on estimates of basic parameters of the linear logistic test model was studied. Results indicate that, because specifying elements of the weight matrix is a subjective process, it must be done with great care. (SLD)
Descriptors: Error Patterns, Estimation (Mathematics), Item Response Theory, Matrices
Previous Page | Next Page ยป
Pages: 1  |  2