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Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
Kobrin, Jennifer L.; Patterson, Brian F. – College Board, 2010
There is substantial variability in the degree to which the SAT and high school grade point average (HSGPA) predict first-year college performance at different institutions. This paper demonstrates the usefulness of multilevel modeling as a tool to uncover institutional characteristics that are associated with this variability. In a model that…
Descriptors: Scores, Validity, Prediction, College Freshmen
Eignor, Daniel R.; Douglass, James B. – 1982
This paper attempts to provide some initial information about the use of a variety of item response theory (IRT) models in the item selection process; its purpose is to compare the information curves derived from the selection of items characterized by several different IRT models and their associated parameter estimation programs. These…
Descriptors: Comparative Analysis, Latent Trait Theory, Mathematical Models, Multiple Choice Tests
Petersen, Nancy S.; And Others – 1981
Three equating methods were compared in terms of magnitude of scale drift: equipercentile equating, linear equating, and item response theory (IRT) equating. A sample of approximately 2670 cases was selected for each pairing of a form of the Scholastic Aptitude Tests (SAT) and an anchor test. Of the two conventional equating methods,…
Descriptors: College Entrance Examinations, Comparative Analysis, Equated Scores, Latent Trait Theory
Kulick, Edward; Dorans, Neil J. – 1984
A new approach to assessing unexpected differential item performance (item bias or item fairness) is introduced and applied to the item responses of different subpopulations of Scholastic Aptitude Test (SAT) takers. The essential features of the standardization approach are described. The primary goal of the standardization approach is to control…
Descriptors: College Entrance Examinations, Individual Differences, Mathematical Models, Performance Factors
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Wainer, Howard; And Others – Journal of Educational Measurement, 1991
A testlet is an integrated group of test items presented as a unit. The concept of testlet differential item functioning (testlet DIF) is defined, and a statistical method is presented to detect testlet DIF. Data from a testlet-based experimental version of the Scholastic Aptitude Test illustrate the methodology. (SLD)
Descriptors: College Entrance Examinations, Definitions, Graphs, Item Bias
Hambleton, Ronald K.; Traub, Ross E. – 1970
Georg Rasch has developed a new one-parameter latent trait model to explain the performance of examinees on achievement tests. The model can be viewed as a special case of Birnbaum's two-parameter logistic model where all items are assumed to have equal discriminating power. Birnbaum's model permits items to vary in discriminating power. Both…
Descriptors: Academic Ability, Achievement Tests, Aptitude Tests, Item Analysis
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Gleser, Leon Jay – Intelligence, 1985
The present study points out problems in the model, indices of familiality, and design used by Benbow, Zonderman, and Stanley in a study of precocious children and their parents. (Author/LMO)
Descriptors: Cognitive Ability, Elementary Secondary Education, Genetics, High Achievement
Marco, Gary L. – 1984
Using raw-to-scaled-score conversions derived from test-score equating to link item-parameter estimates from the one-parameter (Rasch) and three-parameter logistic models, this study evaluated an indirect method for converting item response theory estimates to a common scale. Data were taken from Petersen's Scholastic Aptitude Test (SAT) scale…
Descriptors: College Entrance Examinations, Equated Scores, Estimation (Mathematics), Latent Trait Theory
Dorans, Neil J. – 1983
A formal analysis is presented of the effects of item deletion on equating/scaling functions and reported score distributions. The phrase "item deletion" refers to the process of changing the original key of a flawed item to either all options correct, including omits, or to no options correct, i.e., not scoring the flawed item. There…
Descriptors: College Entrance Examinations, Equated Scores, Item Analysis, Mathematical Models
Cook, Linda L.; Douglass, James B. – 1982
The Preliminary Scholastic Aptitude Test/National Merit Scholarship Qualifying Test (PSAT/NMSQT) was equated to the Scholastic Aptitude Test (SAT) using item response theory (IRT) in a three-parameter logistic model. Estimated true formula score equating was used. Only the mathematical sections of the PSAT/NMSQT and SAT were used because the…
Descriptors: College Entrance Examinations, Equated Scores, Goodness of Fit, Item Analysis
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Wainer, Howard – Journal of Educational Statistics, 1990
It is suggested that some of the technology applied to state Scholastic Aptitude Test scores to measure states' educational performance (particularly use of a truncated Gaussian model) may make it possible to adjust National Assessment of Educational Progress (NAEP) scores to make inferences about state educational progress possible. (SLD)
Descriptors: Academic Achievement, Educational Assessment, Elementary Secondary Education, Mathematical Models
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Baker, Frank B.; Al-Karni, Ali – Journal of Educational Measurement, 1991
Two methods of computing test equating coefficients under item response theory by the following authors are compared: (1) B. H. Loyd and H. D. Hoover (1980); and (2) M. L. Stocking and F. M. Lord (1983). Conditions under which the method of Stocking and Lord is preferable are described. (SLD)
Descriptors: Ability, College Entrance Examinations, Comparative Analysis, Equated Scores
Lawrence, Ida M.; Dorans, Neil J. – 1987
Six editions of Scholastic Aptitude Test-Mathematical (SAT-M) were factor analyzed using confirmatory and exploratory methods. Confirmatory factor analyses (using the LISREL VI program) were conducted on correlation matrices among item parcels--sums of scores on a small subset of items. Item parcels were constructed to yield correlation matrices…
Descriptors: College Entrance Examinations, Factor Analysis, Factor Structure, Guessing (Tests)
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Holland, Paul W.; Wainer, Howard – Applied Measurement in Education, 1990
Two attempts to adjust state mean Scholastic Aptitude Test (SAT) scores for differential participation rates are examined. Both attempts are rejected, and five rules for performing adjustments are outlined to foster follow-up checks on untested assumptions. National Assessment of Educational Progress state data are determined to be more accurate.…
Descriptors: College Applicants, College Entrance Examinations, Estimation (Mathematics), Item Bias
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