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Li, Yanmei – ETS Research Report Series, 2012
In a common-item (anchor) equating design, the common items should be evaluated for item parameter drift. Drifted items are often removed. For a test that contains mostly dichotomous items and only a small number of polytomous items, removing some drifted polytomous anchor items may result in anchor sets that no longer resemble mini-versions of…
Descriptors: Scores, Item Response Theory, Equated Scores, Simulation
Gewertz, Catherine – Education Week, 2012
Pondering a math problem while she swings her sneakered feet from a chair, 12-year-old Andrea Guevara is helping researchers design an assessment that will shape the learning of 19 million students. The 8th grader, who came to the United States from Ecuador three years ago, is trying out two ways of providing English-language support on a…
Descriptors: Test Items, Foreign Countries, Feedback (Response), Protocol Analysis
Buckendahl, Chad W.; Davis-Becker, Susan L. – Practical Assessment, Research & Evaluation, 2012
The consequences associated with the uses and interpretations of scores for many credentialing testing programs have important implications for a range of stakeholders. Within licensure settings specifically, results from examination programs are often one of the final steps in the process of assessing whether individuals will be allowed to enter…
Descriptors: Licensing Examinations (Professions), Test Items, Dentistry, Minimum Competency Testing
Li, Feiming; Cohen, Allan; Shen, Linjun – Journal of Educational Measurement, 2012
Computer-based tests (CBTs) often use random ordering of items in order to minimize item exposure and reduce the potential for answer copying. Little research has been done, however, to examine item position effects for these tests. In this study, different versions of a Rasch model and different response time models were examined and applied to…
Descriptors: Computer Assisted Testing, Test Items, Item Response Theory, Models
Wang, Wen-Chung; Jin, Kuan-Yu; Qiu, Xue-Lan; Wang, Lei – Journal of Educational Measurement, 2012
In some tests, examinees are required to choose a fixed number of items from a set of given items to answer. This practice creates a challenge to standard item response models, because more capable examinees may have an advantage by making wiser choices. In this study, we developed a new class of item response models to account for the choice…
Descriptors: Item Response Theory, Test Items, Selection, Models
Frank, Jerrold – English Teaching Forum, 2012
This piece makes a case for using assessment to understand and identify the needs of learners and introduces the three reprints that follow: "Twenty Common Testing Mistakes for EFL Teachers to Avoid," "Coming to Grips with Progress Testing: Some Guidelines for Its Design," and "Purposeful Language Assessment: Selecting the Right Alternative Test."
Descriptors: Testing, English (Second Language), Evaluation, Language Teachers
De Cock, Mieke – Physical Review Special Topics - Physics Education Research, 2012
In this paper, we examine student success on three variants of a test item given in different representational formats (verbal, pictorial, and graphical), with an isomorphic problem statement. We confirm results from recent papers where it is mentioned that physics students' problem-solving competence can vary with representational format and that…
Descriptors: Physics, Problem Solving, Science Tests, Test Items
Diezmann, Carmel M.; Lowrie, Tom – International Journal of Science and Mathematics Education, 2012
Learning to think spatially in mathematics involves developing proficiency with graphics. This paper reports on 2 investigations of spatial thinking and graphics. The first investigation explored the importance of graphics as 1 of 3 communication systems (i.e. text, symbols, graphics) used to provide information in numeracy test items. The results…
Descriptors: Memory, Spatial Ability, Test Items, Numeracy
Wang, Wen-Chung; Shih, Ching-Lin; Sun, Guo-Wei – Educational and Psychological Measurement, 2012
The DIF-free-then-DIF (DFTD) strategy consists of two steps: (a) select a set of items that are the most likely to be DIF-free and (b) assess the other items for DIF (differential item functioning) using the designated items as anchors. The rank-based method together with the computer software IRTLRDIF can select a set of DIF-free polytomous items…
Descriptors: Test Bias, Test Items, Item Response Theory, Evaluation Methods
Sun, Shan-Shan; Tao, Jian; Chang, Hua-Hua; Shi, Ning-Zhong – Applied Psychological Measurement, 2012
For mixed-type tests composed of dichotomous and polytomous items, polytomous items often yield more information than dichotomous items. To reflect the difference between the two types of items and to improve the precision of ability estimation, an adaptive weighted maximum-a-posteriori (WMAP) estimation is proposed. To evaluate the performance of…
Descriptors: Monte Carlo Methods, Computation, Item Response Theory, Weighted Scores
Jiao, Hong; Liu, Junhui; Haynie, Kathleen; Woo, Ada; Gorham, Jerry – Educational and Psychological Measurement, 2012
This study explored the impact of partial credit scoring of one type of innovative items (multiple-response items) in a computerized adaptive version of a large-scale licensure pretest and operational test settings. The impacts of partial credit scoring on the estimation of the ability parameters and classification decisions in operational test…
Descriptors: Test Items, Computer Assisted Testing, Measures (Individuals), Scoring
Huang, Hung-Yu; Chen, Po-Hsi; Wang, Wen-Chung – Applied Psychological Measurement, 2012
In the human sciences, a common assumption is that latent traits have a hierarchical structure. Higher order item response theory models have been developed to account for this hierarchy. In this study, computerized adaptive testing (CAT) algorithms based on these kinds of models were implemented, and their performance under a variety of…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Response Theory, Simulation
Hessen, David J. – Psychometrika, 2012
A multinormal partial credit model for factor analysis of polytomously scored items with ordered response categories is derived using an extension of the Dutch Identity (Holland in "Psychometrika" 55:5-18, 1990). In the model, latent variables are assumed to have a multivariate normal distribution conditional on unweighted sums of item…
Descriptors: Foreign Countries, Factor Analysis, Testing, Scoring
Maris, Gunter; van der Maas, Han – Psychometrika, 2012
Starting from an explicit scoring rule for time limit tasks incorporating both response time and accuracy, and a definite trade-off between speed and accuracy, a response model is derived. Since the scoring rule is interpreted as a sufficient statistic, the model belongs to the exponential family. The various marginal and conditional distributions…
Descriptors: Item Response Theory, Scoring, Reaction Time, Accuracy
Carleton, R. Nicholas; Thibodeau, Michel A.; Osborne, Jason W.; Asmundson, Gordon J. G. – Practical Assessment, Research & Evaluation, 2012
The present study was designed to test for item order effects by measuring four distinct constructs that contribute substantively to anxiety-related psychopathology (i.e., anxiety sensitivity, fear of negative evaluation, injury/illness sensitivity, and intolerance of uncertainty). Participants (n = 999; 71% women) were randomly assigned to…
Descriptors: Anxiety, Test Items, Serial Ordering, Measures (Individuals)

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