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Ackerman, Terry A.; Spray, Judith A. – 1986
A model of test item dependency is presented and used to illustrate the effect that violations of local independence have on the behavior of item characteristic curves. The dependency model is flexible enough to simulate the interaction of a number of factors including item difficulty and item discrimination, varying degrees of item dependence,…
Descriptors: Difficulty Level, Item Analysis, Latent Trait Theory, Mathematical Models
Ackerman, Terry A. – 1987
Concern has been expressed over the item response theory (IRT) assumption that a person's ability can be estimated in a unidimensional latent space. To examine whether or not the response to an item requires only a single latent ability, unidimensional ability estimates were compared for data generated from the multidimensional item response…
Descriptors: Ability, Computer Simulation, Difficulty Level, Item Analysis
Groome, Mary Lynn; Groome, William R. – 1979
Angoff's method for identifying possible biased test items was applied to four computer-generated hypothetical tests, two of which contained no biased items and two of which contained a few biased items. The tests were generated to match specifications of a latent trait model. Angoff's method compared item difficulty estimates for two different…
Descriptors: Difficulty Level, Identification, Item Analysis, Mathematical Models

Harris, Chester W.; Pearlman, Andrea Pastorok – Journal of Educational Statistics, 1978
A theory and a procedure are presented for estimating a domain parameter and item parameters for test items in a homogeneous domain, such that the combined domain and item parameters account for observed proportions right for each item in a test. (CTM)
Descriptors: Achievement Tests, Difficulty Level, Item Analysis, Mathematical Models
Holland, Paul W.; Thayer, Dorothy T. – 1985
An alternative definition has been developed of the delta scale of item difficulty used at Educational Testing Service. The traditional delta scale uses an inverse normal transformation based on normal ogive models developed years ago. However, no use is made of this fact in typical uses of item deltas. It is simply one way to make the probability…
Descriptors: Difficulty Level, Error Patterns, Estimation (Mathematics), Item Analysis
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

Rosenbaum, Paul R. – Psychometrika, 1987
This paper develops and applies three nonparametric comparisons of the shapes of two item characteristic surfaces: (1) proportional latent odds; (2) uniform relative difficulty; and (3) item sensitivity. A method is presented for comparing the relative shapes of two item characteristic curves in two examinee populations who were administered an…
Descriptors: Comparative Analysis, Computer Simulation, Difficulty Level, Item Analysis

Yen, Wendy M. – Psychometrika, 1985
An approximate relationship is devised between the unidimensional model used in data analysis and a multidimensional model hypothesized to be generating the item responses. Scale shrinkage is successfully predicted for several sets of simulated data. (Author/LMO)
Descriptors: Difficulty Level, Hypothesis Testing, Item Analysis, Latent Trait Theory

Prien, Borge – Studies in Educational Evaluation, 1989
Under certain conditions it may be possible to determine the difficulty of previously untested test items. Although no recipe can be provided, reflections on this topic are presented, drawing on concepts of item banking. A functional constructive method is suggested as having the most potential. (SLD)
Descriptors: Difficulty Level, Educational Assessment, Foreign Countries, Item Analysis

Cobern, William W. – 1986
This computer program, written in BASIC, performs three different calculations of test reliability: (1) the Kuder-Richardson method; (2); the "common split-half" method; and (3) the Rulon-Guttman split-half method. The program reads sequential access data files for microcomputers that have been set up by statistical packages such as…
Descriptors: Computer Software, Difficulty Level, Educational Research, Equations (Mathematics)
Winsberg, Suzanne; And Others – 1984
In most item response theory models a particular mathematical form is assumed for all item characteristic curves, e.g., a logistic function. It could be desirable, however, to estimate the shape of the item characteristic curves without prior restrictive assumptions about its mathematical form. We have developed a practical method of estimating…
Descriptors: Difficulty Level, Estimation (Mathematics), Goodness of Fit, Item Analysis
Samejima, Fumiko – 1980
Many combinations of a method and an approach for estimating the operating characteristics of the graded item responses, without assuming any mathematical forms, have been produced. In these methods, a set of items whose characteristics are known, or Old Test, is used, which has a large, constant amount of test information throughout the interval…
Descriptors: Difficulty Level, Item Analysis, Latent Trait Theory, Least Squares Statistics
Kolen, Michael J.; Whitney, Douglas R. – 1978
The application of latent trait theory to classroom tests necessitates the use of small sample sizes for parameter estimation. Computer generated data were used to assess the accuracy of estimation of the slope and location parameters in the two parameter logistic model with fixed abilities and varying small sample sizes. The maximum likelihood…
Descriptors: Difficulty Level, Item Analysis, Latent Trait Theory, Mathematical Models
George, Archie A. – 1979
The appropriateness of the use of the standardized residual (SR) to assess congruence between sample test item responses and the one parameter latent trait (Rasch) item characteristic curve is investigated. Latent trait theory is reviewed, as well as theory of the SR, the apparent error in calculating the expected distribution of the SR, and…
Descriptors: Academic Ability, Computer Programs, Difficulty Level, Goodness of Fit
Forster, Fred; And Others – 1978
Research on the Rasch model of test and item analysis was applied to tests constructed from item banks for reading and mathematics with respect to five practical problems for scaling items and equating test forms. The questions were: (1) Does the Rasch model yield the same scale value regardless of the student sample? (2) How many students are…
Descriptors: Achievement Tests, Difficulty Level, Elementary Secondary Education, Equated Scores