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Wang, Wei; Tay, Louis; Drasgow, Fritz – Applied Psychological Measurement, 2013
There has been growing use of ideal point models to develop scales measuring important psychological constructs. For meaningful comparisons across groups, it is important to identify items on such scales that exhibit differential item functioning (DIF). In this study, the authors examined several methods for assessing DIF on polytomous items…
Descriptors: Test Bias, Effect Size, Item Response Theory, Statistical Analysis
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Liu, Yang; Thissen, David – Applied Psychological Measurement, 2012
Local dependence (LD) refers to the violation of the local independence assumption of most item response models. Statistics that indicate LD between a pair of items on a test or questionnaire that is being fitted with an item response model can play a useful diagnostic role in applications of item response theory. In this article, a new score test…
Descriptors: Item Response Theory, Statistical Analysis, Models, Identification
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Deng, Nina; Han, Kyung T.; Hambleton, Ronald K. – Applied Psychological Measurement, 2013
DIMPACK Version 1.0 for assessing test dimensionality based on a nonparametric conditional covariance approach is reviewed. This software was originally distributed by Assessment Systems Corporation and now can be freely accessed online. The software consists of Windows-based interfaces of three components: DIMTEST, DETECT, and CCPROX/HAC, which…
Descriptors: Item Response Theory, Nonparametric Statistics, Statistical Analysis, Computer Software
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DeMars, Christine E. – Applied Psychological Measurement, 2012
A testlet is a cluster of items that share a common passage, scenario, or other context. These items might measure something in common beyond the trait measured by the test as a whole; if so, the model for the item responses should allow for this testlet trait. But modeling testlet effects that are negligible makes the model unnecessarily…
Descriptors: Test Items, Item Response Theory, Comparative Analysis, Models
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Beauducel, Andre – Applied Psychological Measurement, 2013
The problem of factor score indeterminacy implies that the factor and the error scores cannot be completely disentangled in the factor model. It is therefore proposed to compute Harman's factor score predictor that contains an additive combination of factor and error variance. This additive combination is discussed in the framework of classical…
Descriptors: Factor Analysis, Predictor Variables, Reliability, Error of Measurement
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Zhang, Jinming – Applied Psychological Measurement, 2012
It is common to assume during a statistical analysis of a multiscale assessment that the assessment is composed of several unidimensional subtests or that it has simple structure. Under this assumption, the unidimensional and multidimensional approaches can be used to estimate item parameters. These two approaches are equivalent in parameter…
Descriptors: Simulation, Computation, Models, Statistical Analysis
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Wang, Wen-Chung; Shih, Ching-Lin – Applied Psychological Measurement, 2010
Three multiple indicators-multiple causes (MIMIC) methods, namely, the standard MIMIC method (M-ST), the MIMIC method with scale purification (M-SP), and the MIMIC method with a pure anchor (M-PA), were developed to assess differential item functioning (DIF) in polytomous items. In a series of simulations, it appeared that all three methods…
Descriptors: Methods, Test Bias, Test Items, Error of Measurement
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Levy, Roy; Mislevy, Robert J.; Sinharay, Sandip – Applied Psychological Measurement, 2009
If data exhibit multidimensionality, key conditional independence assumptions of unidimensional models do not hold. The current work pursues posterior predictive model checking, a flexible family of model-checking procedures, as a tool for criticizing models due to unaccounted for dimensions in the context of item response theory. Factors…
Descriptors: Item Response Theory, Models, Methods, Simulation
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Wang, Tianyou; Brennan, Robert L. – Applied Psychological Measurement, 2009
Frequency estimation, also called poststratification, is an equating method used under the common-item nonequivalent groups design. A modified frequency estimation method is proposed here, based on altering one of the traditional assumptions in frequency estimation in order to correct for equating bias. A simulation study was carried out to…
Descriptors: Computation, Bias, Comparative Analysis, Statistical Analysis
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Liu, Ying; Douglas, Jeffrey A.; Henson, Robert A. – Applied Psychological Measurement, 2009
In cognitive diagnosis, the test-taking behavior of some examinees may be idiosyncratic so that their test scores may not reflect their true cognitive abilities as much as that of more typical examinees. Statistical tests are developed to recognize the following: (a) nonmasters of the required attributes who correctly answer the item (spuriously…
Descriptors: Personality Theories, Response Style (Tests), Scores, Cognitive Tests
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Yurdugul, Halil – Applied Psychological Measurement, 2009
This article describes SIMREL, a software program designed for the simulation of alpha coefficients and the estimation of its confidence intervals. SIMREL runs on two alternatives. In the first one, if SIMREL is run for a single data file, it performs descriptive statistics, principal components analysis, and variance analysis of the item scores…
Descriptors: Intervals, Monte Carlo Methods, Computer Software, Factor Analysis
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Finkelman, Matthew David – Applied Psychological Measurement, 2010
In sequential mastery testing (SMT), assessment via computer is used to classify examinees into one of two mutually exclusive categories. Unlike paper-and-pencil tests, SMT has the capability to use variable-length stopping rules. One approach to shortening variable-length tests is stochastic curtailment, which halts examination if the probability…
Descriptors: Mastery Tests, Computer Assisted Testing, Adaptive Testing, Test Length
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Armstrong, Ronald D.; Shi, Min – Applied Psychological Measurement, 2009
This article develops a new cumulative sum (CUSUM) statistic to detect aberrant item response behavior. Shifts in behavior are modeled with quadratic functions and a series of likelihood ratio tests are used to detect aberrancy. The new CUSUM statistic is compared against another CUSUM approach as well as traditional person-fit statistics. A…
Descriptors: Simulation, Item Response Theory, Personality Theories, High Stakes Tests
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Choi, Seung W.; Swartz, Richard J. – Applied Psychological Measurement, 2009
Item selection is a core component in computerized adaptive testing (CAT). Several studies have evaluated new and classical selection methods; however, the few that have applied such methods to the use of polytomous items have reported conflicting results. To clarify these discrepancies and further investigate selection method properties, six…
Descriptors: Adaptive Testing, Item Analysis, Comparative Analysis, Test Items
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Zinbarg, Richard E.; Revelle, William; Yovel, Iftah – Applied Psychological Measurement, 2007
One of the most serious difficulties in the estimation of omega[subscript hierarchical] ([omega][subscript h]) has not been previously studied. Although it is true that one can impose a set of identifying constraints on one's solution to derive an estimate of [omega][subscript h] in the two-group factor case, there is the potential for introducing…
Descriptors: Computation, Simulation, Thinking Skills, Scores
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