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Moritz Waitzmann; Ruediger Scholz; Susanne Wessnigk – Physical Review Physics Education Research, 2024
Clear and rigorous quantum reasoning is needed to explain quantum physical phenomena. As pillars of true quantum physical explanations, we suggest specific quantum reasoning derived from quantum physical key ideas. An experiment is suggested to support such a quantum reasoning, in which a quantized radiation field interacts with an optical beam…
Descriptors: Physics, Science Instruction, Teaching Methods, Quantum Mechanics
Clauser, Brian E.; Kane, Michael; Clauser, Jerome C. – Journal of Educational Measurement, 2020
An Angoff standard setting study generally yields judgments on a number of items by a number of judges (who may or may not be nested in panels). Variability associated with judges (and possibly panels) contributes error to the resulting cut score. The variability associated with items plays a more complicated role. To the extent that the mean item…
Descriptors: Cutting Scores, Generalization, Decision Making, Standard Setting
Boavida, Tânia; Akers, Kate; McWilliam, R. A.; Jung, Lee Ann – Infants and Young Children, 2015
The Routines-Based Interview (RBI) is useful for developing functional outcomes/goals, for establishing strong relationships with families, and for assessing the family's true needs. In this study, the authors investigated the psychometric properties of the RBI Implementation Checklist, conducted by 120 early intervention professionals,…
Descriptors: Item Response Theory, Item Analysis, Interviews, Functional Behavioral Assessment
Beretvas, S. Natasha; Williams, Natasha J. – Journal of Educational Measurement, 2004
To assess item dimensionality, the following two approaches are described and compared: hierarchical generalized linear model (HGLM) and multidimensional item response theory (MIRT) model. Two generating models are used to simulate dichotomous responses to a 17-item test: the unidimensional and compensatory two-dimensional (C2D) models. For C2D…
Descriptors: Item Response Theory, Test Items, Mathematics Tests, Reading Ability
Eggen, Theo J. H. M.; Verschoor, Angela J. – Applied Psychological Measurement, 2006
Computerized adaptive tests (CATs) are individualized tests that, from a measurement point of view, are optimal for each individual, possibly under some practical conditions. In the present study, it is shown that maximum information item selection in CATs using an item bank that is calibrated with the one- or the two-parameter logistic model…
Descriptors: Adaptive Testing, Difficulty Level, Test Items, Item Response Theory
Lord, Frederic M. – 1971
A flexilevel test is found to be inferior to a peaked conventional test for measuring examinees in the middle of the ability range, superior for examinees at the extremes. Throughout the entire range of ability, a flexilevel test is much superior to any conventional test that attempts to provide accurate measurement at both extremes. See also ED…
Descriptors: Ability, Comparative Analysis, Difficulty Level, Guessing (Tests)
Masters, Geoff N.; Wright, Benjamin D. – 1982
The analysis of fit of data to a measurement model for graded responses is described. The model is an extension of Rasch's dichotomous model to formats which provide more than two levels of response to items. The model contains one parameter for each person and one parameter for each "step" in an item. A dichotomously-scored item…
Descriptors: Difficulty Level, Goodness of Fit, Item Analysis, Latent Trait Theory
Lord, Frederic M. – 1971
Some stochastic approximation procedures are considered in relation to the problem of choosing a sequence of test questions to accurately estimate a given examinee's standing on a psychological dimension. Illustrations are given evaluating certain procedures in a specific context. (Author/CK)
Descriptors: Academic Ability, Adaptive Testing, Computer Programs, Difficulty Level
Abdel-fattah, Abdel-fattah A. – 1992
A scaling procedure is proposed, based on item response theory (IRT), to fit non-hierarchical test structure as well. The binary scores of a test of English were used for calculating the probabilities of answering each item correctly. The probability matrix was factor analyzed, and the difficulty intervals or estimates corresponding to the factors…
Descriptors: Bayesian Statistics, Difficulty Level, English, Estimation (Mathematics)

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