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Reckase, Mark D.; McCrory, Raven; Floden, Robert E.; Ferrini-Mundy, Joan; Senk, Sharon L. – Educational Assessment, 2015
Numerous researchers have suggested that there are multiple mathematical knowledge and skill areas needed by teachers in order for them to be effective teachers of mathematics: knowledge of the mathematics that are the goals of instruction, advanced mathematics beyond the instructional material, and mathematical knowledge that is specific to what…
Descriptors: Algebra, Knowledge Base for Teaching, Multidimensional Scaling, Psychometrics

McKinley, Robert L.; Reckase, Mark D. – 1981
This study was conducted in order to evaluate available linking techniques for forming large item pools and to make recommendations as to which techniques should be used under various circumstances. Variables of interest included calibration model and procedure, sample size, overlap level, and linking procedure. The calibration models considered…
Descriptors: Comparative Analysis, Item Analysis, Item Banks, Methods

Reckase, Mark D.; McKinley, Robert L. – 1984
A new indicator of item difficulty, which identifies effectiveness ranges, overcomes the limitations of other item difficulty indexes in describing the difficulty of an item or a test as a whole and in aiding the selection of appropriate ability level items for a test. There are three common uses of the term "item difficulty": (1) the probability…
Descriptors: Difficulty Level, Evaluation Methods, Item Analysis, Latent Trait Theory

Reckase, Mark D.; And Others – Journal of Educational Measurement, 1988
It is demonstrated, theoretically and empirically, that item sets can be selected that meet the unidimensionality assumption of most item response theory models, even though they require more than one ability for a correct response. A method for identifying such item sets for test development purposes is presented. (SLD)
Descriptors: Computer Simulation, Item Analysis, Latent Trait Theory, Mathematical Models
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
Reckase, Mark D.; McKinley, Robert L. – 1982
A class of multidimensional latent trait models is described. The properties of the model parameters, and initial results on the accuracy of a maximum likelihood procedure for estimating the model parameters are discussed. The model presented is a special case of the general model described by Rasch (1961), with close similarities to the models…
Descriptors: Correlation, Item Analysis, Latent Trait Theory, Mathematical Models
McKinley, Robert L.; Reckase, Mark D. – 1982
Several special cases of the general Rasch model, varying in complexity, were investigated to determine whether they could successfully model realistic multidimensional item response data. Whether the parameters of the model could be readily interpreted was also investigated. The models investigated included: (1) the vector model; (2) the product…
Descriptors: Goodness of Fit, Item Analysis, Latent Trait Theory, Mathematical Models
McKinley, Robert L.; Reckase, Mark D. – 1984
To assess the effects of correlated abilities on test characteristics, and to explore the effects of correlated abilities on the use of a multidimensional item response theory model which does not explicitly account for such a correlation, two tests were constructed. One had two relatively unidimensional subsets of items, the other had all…
Descriptors: Ability, Correlation, Factor Structure, Item Analysis
Reckase, Mark D. – 1978
Five comparisons were made relative to the quality of estimates of ability parameters and item calibrations obtained from the one-parameter and three-parameter logistic models. The results indicate: (1) The three-parameter model fit the test data better in all cases than did the one-parameter model. For simulation data sets, multi-factor data were…
Descriptors: Comparative Analysis, Goodness of Fit, Item Analysis, Mathematical Models

Reckase, Mark D. – Journal of Educational Statistics, 1979
Since all commonly used latent trait models assume a unidimensional test, the applicability of the procedure to obviously multidimensional tests is questionable. This paper presents the results of the application of latent trait, traditional, and factor analyses to a series of actual and hypothetical tests that vary in factoral complexity.…
Descriptors: Achievement Tests, Factor Analysis, Goodness of Fit, Higher Education
Reckase, Mark D.; And Others – 1985
Factor analysis is the traditional method for studying the dimensionality of test data. However, under common conditions, the factor analysis of tetrachoric correlations does not recover the underlying structure of dichotomous data. The purpose of this paper is to demonstrate that the factor analyses of tetrachoric correlations is unlikely to…
Descriptors: Correlation, Difficulty Level, Factor Analysis, Item Analysis
Reckase, Mark D.; And Others – 1989
The purpose of the paper is to determine whether test forms of the Mathematics Usage Test (AAP Math) of the American College Testing Program are parallel in a multidimensional sense. The AAP Math is an achievement test of mathematics concepts acquired by high school students by the end of their third year. To determine the dimensionality of the…
Descriptors: Achievement Tests, Factor Analysis, High School Students, High Schools
Reckase, Mark D. – 1985
Work on item response theory was extended to two areas not extensively researched previously, including models for: (1) test items that require more than one ability for a correct response (MIRT); and (2) interaction between modules of instruction that have a hierarchical relationship (HST). In order to develop the MIRT and HST models, the author…
Descriptors: Instructional Development, Item Analysis, Latent Trait Theory, Mathematical Models
Reckase, Mark D. – 1985
Multidimensional item difficulty (MID) is proposed as a means of describing test items which measure more than one ability. With mathematical story problems, for instance, both mathematical and verbal skills are required to obtain a correct answer. The proposed measure of MID is based upon three general assumptions: (1) the probability of…
Descriptors: Ability Identification, College Entrance Examinations, College Mathematics, Difficulty Level

Reckase, Mark D. – 1986
The work presented in this paper defined conceptually the concepts of multidimensional discrimination and information, derived mathematical expressions for the concepts for a particular multidimensional item response theory (IRT) model, and applied the concepts to actual test data. Multidimensional discrimination was defined as a function of the…
Descriptors: College Entrance Examinations, Difficulty Level, Discriminant Analysis, Item Analysis
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