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Lord, Frederic M. – 1982
Explored are two theoretical approaches that attempt to cope with omitted responses, that is, when an examinee omits (fails to respond to) an item and therefore the item response formula cannot be used. Preliminary considerations are discussed, and it is shown that a conveniently simple application of equivalent items leads to internal…
Descriptors: Guessing (Tests), Latent Trait Theory, Mathematical Models, Maximum Likelihood Statistics
Jones, Douglas H. – 1981
A mathematical setting based on a statistical sampling probability mechanism is described. In this setting, a mathematical meaning is given for the information function; and it becomes possible to study the relative merits of various ability-estimating procedures. The maximum likelihood estimation procedure under the one-, two-, three-parameter…
Descriptors: Ability Identification, Estimation (Mathematics), Latent Trait Theory, Mathematical Models
Leonard, Tom; Novick, Melvin R. – 1985
This proposal attempts to follow in Allan Birnbaum's tradition by using Bayesian ideas to show that his mental test model possesses even broader applicability than previously realized. Birnbaum's two significant contributions to the theories of statistics and educational testing are: (1) the proof that the sufficiency and conditionality principles…
Descriptors: Bayesian Statistics, Cognitive Measurement, Estimation (Mathematics), Latent Trait Theory
Lord, Frederic M. – 1984
There are currently three main approaches to parameter estimation in item response theory (IRT): (1) joint maximum likelihood, exemplified by LOGIST, yielding maximum likelihood estimates; (2) marginal maximum likelihood, exemplified by BILOG, yielding maximum likelihood estimates of item parameters (ability parameters can be estimated…
Descriptors: Bayesian Statistics, Comparative Analysis, Estimation (Mathematics), Latent Trait Theory
Reckase, Mark D.; McKinley, Robert L. – 1984
The purpose of this paper is to present a generalization of the concept of item difficulty to test items that measure more than one dimension. Three common definitions of item difficulty were considered: the proportion of correct responses for a group of individuals; the probability of a correct response to an item for a specific person; and the…
Descriptors: Difficulty Level, Item Analysis, Latent Trait Theory, Mathematical Models
Tsutakawa, Robert K.; Lin, Hsin Ying – 1984
Item response curves for a set of binary responses are studied from a Bayesian viewpoint of estimating the item parameters. For the two-parameter logistic model with normally distributed ability, restricted bivariate beta priors are used to illustrate the computation of the posterior mode via the EM algorithm. The procedure is illustrated by data…
Descriptors: Algorithms, Bayesian Statistics, College Entrance Examinations, Estimation (Mathematics)
Peer reviewedPalmaccio, Richard J. – Mathematics Teacher, 1974
Descriptors: Computer Programs, Instruction, Mathematical Applications, Mathematical Models
De Heer, T. – Information Storage and Retrieval, 1974
Use of syntactic trace as an access strategy for large files containing arbitrary languages for which thesaurus-based and multiple attribute search techniques are unsuitable. (LS)
Descriptors: Indexing, Information Retrieval, Information Storage, Mathematical Models
Peer reviewedOster, G. F. – BioScience, 1974
Presents a mechanical analog designed to reduce the conceptual difficulties experienced by many students in thinking about age distribution concepts in demography. (JR)
Descriptors: Age, Biological Sciences, Conceptual Schemes, Demography
Peer reviewedSchonemann, Peter H.; And Others – Multivariate Behavioral Research, 1975
Descriptors: Algorithms, Data Analysis, Dimensional Preference, Individual Differences
Peer reviewedWittmann, Erich – Educational Studies in Mathematics, 1975
The author interprets several mathematical concepts as groupings using Piaget's definition. He also discusses (briefly) the implications for primary education. (SD)
Descriptors: Cognitive Development, Elementary Education, Elementary School Mathematics, Mathematical Concepts
Peer reviewedLord, Frederic M. – Psychometrika, 1975
For the six available sets of empirical data, the discrimination (slope) parameter of the logistic item characteristic curve was found to have a significant positive correlation over items with the difficulty (location) parameter. This unpleasant situation can be eliminated by a suitably chosen transformation of the ability scale. (Author/RC)
Descriptors: Ability, Aptitude Tests, Correlation, Item Analysis
Peer reviewedConran, Patricia C.; Beauchamp, George A. – Educational Leadership, 1975
Descriptors: Conceptual Schemes, Curriculum Design, Curriculum Development, Curriculum Research
Peer reviewedCotter, Stanley – Arithmetic Teacher, 1969
Descriptors: Addition, Instruction, Mathematical Models, Mathematics
Gustafsson, Jan-Eric – 1980
Some basic concepts of the one-parameter logistic latent-trait model, or the Rasch model, are presented. This model assumes that the probability of a correct answer to an item is a function of two parameters, one representing the difficulty of the item and one representing the ability of the subject. The purpose of this paper is to explain a…
Descriptors: Academic Ability, Academic Achievement, Difficulty Level, Latent Trait Theory


