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Showing 1 to 15 of 375 results Save | Export
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Geerlings, Hanneke; van der Linden, Wim J.; Glas, Cees A. W. – Applied Psychological Measurement, 2013
Optimal test-design methods are applied to rule-based item generation. Three different cases of automated test design are presented: (a) test assembly from a pool of pregenerated, calibrated items; (b) test generation on the fly from a pool of calibrated item families; and (c) test generation on the fly directly from calibrated features defining…
Descriptors: Test Construction, Test Items, Item Banks, Automation
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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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Paek, Insu; Han, Kyung T. – Applied Psychological Measurement, 2013
This article reviews a new item response theory (IRT) model estimation program, IRTPRO 2.1, for Windows that is capable of unidimensional and multidimensional IRT model estimation for existing and user-specified constrained IRT models for dichotomously and polytomously scored item response data. (Contains 1 figure and 2 notes.)
Descriptors: Item Response Theory, Computer Software, Computation, Patients
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Liu, Ying; Verkuilen, Jay – Applied Psychological Measurement, 2013
The Presence-Severity (P-S) format refers to a compound item structure in which a question is first asked to check the presence of the particular event in question. If the respondent provides an affirmative answer, a follow-up is administered, often about the frequency, density, severity, or impact of the event. Despite the popularity of the P-S…
Descriptors: Item Response Theory, Measures (Individuals), Psychometrics, Cancer
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Stucky, Brian D.; Thissen, David; Edelen, Maria Orlando – Applied Psychological Measurement, 2013
Test developers often need to create unidimensional scales from multidimensional data. For item analysis, "marginal trace lines" capture the relation with the general dimension while accounting for nuisance dimensions and may prove to be a useful technique for creating short-form tests. This article describes the computations needed to obtain…
Descriptors: Test Construction, Test Length, Item Analysis, Item Response Theory
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Yao, Lihua – Applied Psychological Measurement, 2013
Through simulated data, five multidimensional computerized adaptive testing (MCAT) selection procedures with varying test lengths are examined and compared using different stopping rules. Fixed item exposure rates are used for all the items, and the Priority Index (PI) method is used for the content constraints. Two stopping rules, standard error…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Selection
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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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Morse, Brendan J.; Johanson, George A.; Griffeth, Rodger W. – Applied Psychological Measurement, 2012
Recent simulation research has demonstrated that using simple raw score to operationalize a latent construct can result in inflated Type I error rates for the interaction term of a moderated statistical model when the interaction (or lack thereof) is proposed at the latent variable level. Rescaling the scores using an appropriate item response…
Descriptors: Item Response Theory, Multiple Regression Analysis, Error of Measurement, Models
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Kieftenbeld, Vincent; Natesan, Prathiba – Applied Psychological Measurement, 2012
Markov chain Monte Carlo (MCMC) methods enable a fully Bayesian approach to parameter estimation of item response models. In this simulation study, the authors compared the recovery of graded response model parameters using marginal maximum likelihood (MML) and Gibbs sampling (MCMC) under various latent trait distributions, test lengths, and…
Descriptors: Test Length, Markov Processes, Item Response Theory, Monte Carlo Methods
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Yen, Yung-Chin; Ho, Rong-Guey; Laio, Wen-Wei; Chen, Li-Ju; Kuo, Ching-Chin – Applied Psychological Measurement, 2012
In a selected response test, aberrant responses such as careless errors and lucky guesses might cause error in ability estimation because these responses do not actually reflect the knowledge that examinees possess. In a computerized adaptive test (CAT), these aberrant responses could further cause serious estimation error due to dynamic item…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Response Style (Tests)
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Hung, Lai-Fa – Applied Psychological Measurement, 2012
Rasch used a Poisson model to analyze errors and speed in reading tests. An important property of the Poisson distribution is that the mean and variance are equal. However, in social science research, it is very common for the variance to be greater than the mean (i.e., the data are overdispersed). This study embeds the Rasch model within an…
Descriptors: Social Science Research, Markov Processes, Reading Tests, Social Sciences
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Attali, Yigal – Applied Psychological Measurement, 2011
Recently, Attali and Powers investigated the usefulness of providing immediate feedback on the correctness of answers to constructed response questions and the opportunity to revise incorrect answers. This article introduces an item response theory (IRT) model for scoring revised responses to questions when several attempts are allowed. The model…
Descriptors: Feedback (Response), Item Response Theory, Models, Error Correction
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van der Ark, L. Andries; van der Palm, Daniel W.; Sijtsma, Klaas – Applied Psychological Measurement, 2011
This study presents a general framework for single-administration reliability methods, such as Cronbach's alpha, Guttman's lambda-2, and method MS. This general framework was used to derive a new approach to estimating test-score reliability by means of the unrestricted latent class model. This new approach is the latent class reliability…
Descriptors: Simulation, Reliability, Measurement, Psychology
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Woods, Carol M.; Grimm, Kevin J. – Applied Psychological Measurement, 2011
In extant literature, multiple indicator multiple cause (MIMIC) models have been presented for identifying items that display uniform differential item functioning (DIF) only, not nonuniform DIF. This article addresses, for apparently the first time, the use of MIMIC models for testing both uniform and nonuniform DIF with categorical indicators. A…
Descriptors: Test Bias, Testing, Interaction, Item Response Theory
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Diao, Qi; van der Linden, Wim J. – Applied Psychological Measurement, 2011
This article reviews the use of the software program lp_solve version 5.5 for solving mixed-integer automated test assembly (ATA) problems. The program is freely available under Lesser General Public License 2 (LGPL2). It can be called from the statistical language R using the lpSolveAPI interface. Three empirical problems are presented to…
Descriptors: Adaptive Testing, Computer Software, Literature Reviews, Computer Assisted Testing
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