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Applied Psychological Measurement, 2023
Sibling items developed through automatic item generation share similar but not identical psychometric properties. However, considering sibling item variations may bring huge computation difficulties and little improvement on scoring. Assuming identical characteristics among siblings, this study explores the impact of item model parameter variations (i.
Chen Tian, Jaehwa Choi
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Sibling items developed through automatic item generation share similar but not identical psychometric properties. However, considering sibling item variations may bring huge computation difficulties and little improvement on scoring. Assuming identical characteristics among siblings, this study explores the impact of item model parameter variations (i.
Chen Tian, Jaehwa Choi
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Optimizing a Number of Overlapping Items for Eqauting Estimated Item Parameters
2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2019Many organizations that created the exam cannot estimate the amount of difficulty of item (questions). This is because if they want to estimate item base on Item Response Theory, they used an exam that finished by only one group of examinee for the standard of the difficulty of the exam; however, they cannot use only one group of examinee for estimated
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Effects of Ignoring Item Interaction on Item Parameter Estimation and Detection of Interacting Items
Applied Psychological Measurement, 2007This study explores the effects of ignoring item interaction on item parameter estimation and the efficiency of using the local dependence index Q3 and the SAS NLMIXED procedure to detect item interaction under the three-parameter logistic model and the generalized partial credit model.
Cheng-Te Chen, Wen-Chung Wang
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Methods for Linking Item Parameters.
1981Abstract : A simulation study to determine appropriate linking methods for adaptive testing items was designed. Responses of examinees of three group sizes for four test lengths were simulated. Three basic data sets were created: (a) randomly sampled data set, (b) systematically sampled data set, and (c) selected data set.
Malcolm James Ree +4 more
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Leveraging LLM-Respondents for Item Evaluation: a Psychometric Analysis
arXiv.orgEffective educational measurement relies heavily on the curation of well-designed item pools (i.e., possessing the right psychometric properties). However, item calibration is time-consuming and costly, requiring a sufficient number of respondents for ...
Yunting Liu, S. Bhandari, Z. Pardos
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Item Parameter Estimation and Item Fit Analysis
2009Computer-based testing (CBT), as computerized adaptive testing (CAT), is based on the availability of a large pool of calibrated test items. Usually, the calibration process consists of two stages.
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Estimation of Item and Ability Parameters
1985The estimation of ability parameters when item parameters are known was considered in chapter 5 (see also, Swaminathan, 1983). While the problem of estimating ability parameters when item parameters are given is reasonably straightforward, the simultaneous estimation of ability and item parameters raises several problems.
Ronald K. Hambleton +1 more
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IRT Item Parameter Scaling for Developing New Item Pools
Applied Measurement in Education, 2016ABSTRACTIncreasing use of item pools in large-scale educational assessments calls for an appropriate scaling procedure to achieve a common metric among field-tested items. The present study examines scaling procedures for developing a new item pool under a spiraled block linking design.
Hyeon-Ah Kang, Ying Lu, Hua-Hua Chang
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Test Skewness and Kurtosis as Functions of Item Parameters
Psychometrika, 1962Indexes of skewness and kurtosis for a test-score distribution are expressed in terms of item parameters. Both are shown to depend, in part, on item means, variances, and covariances. The index of skewness depends also on trivariances. A trivariance is a product moment involving first powers of deviation scores for three items.
Ray, William S. +2 more
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A Note on the Conversion of Item Parameters Standard Errors
Multivariate Behavioral Research, 2018The relations among alternative parameterizations of the binary factor analysis (FA) model and two-parameter logistic (2PL) item response theory (IRT) model have been thoroughly discussed in literature. However, the conversion formulas widely available are mainly for transforming parameter estimates from one parameterization to another. There is a lack
Chun, Wang, Xue, Zhang
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