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Peer reviewedMuthen, Bengt – Journal of Educational Statistics, 1985
Drawing on recently developed methodology for structural equation modeling with categorical data, this article proposes a new approach for investigating the behavior of dichotomously scored test items in relation to other relevant (observed) variables. A linear structural model relates the latent ability variable to a set of observed scores.…
Descriptors: Biology, Item Analysis, Latent Trait Theory, Mathematical Models
Peer reviewedHutchinson, T. P. – Contemporary Educational Psychology, 1986
Qualitative evidence for the operation of partial knowledge is given by two findings. First, performance when second and subsequent choices are made is above the chance level. Second, it is positively related to first choice performance. A number of theories incorporating partial knowledge are compared quantitatively. (Author/LMO)
Descriptors: Difficulty Level, Feedback, Goodness of Fit, Mathematical Models
Peer reviewedMiller, Timothy R.; Spray, Judith A. – Journal of Educational Measurement, 1993
Presents logistic discriminant analysis as a means of detecting differential item functioning (DIF) in items that are polytomously scored. Provides examples of DIF detection using a 27-item mathematics test with 1,977 examinees. The proposed method is simpler and more practical than polytomous extensions of the logistic regression DIF procedure.…
Descriptors: Discriminant Analysis, Item Bias, Mathematical Models, Mathematics Tests
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
Peer reviewedAlbanese, Mark A.; Forsyth, Robert A. – Educational and Psychological Measurement, 1984
The purpose of this study was to compare the relative robustness of the one-, two-, and modified two-parameter latent trait logistic models for the Iowa Tests of Educational Development. Results suggest that the modified two-parameter model may provide the best representation of the data. (Author/BW)
Descriptors: Achievement Tests, Comparative Analysis, Goodness of Fit, Item Analysis
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
Westers, Paul; Kelderman, Henk – 1990
In multiple-choice items the response probability on an item may be viewed as the result of two distinct latent processes--a cognitive process to solve the problem, and another random process that leads to the choice of a certain alternative (the process of giving the actual response). An incomplete latent class model is formulated that describes…
Descriptors: Cognitive Processes, Estimation (Mathematics), Foreign Countries, Guessing (Tests)
PDF pending restorationKelderman, Henk – 1986
A method is proposed to equate different sets of items administered to different groups of individuals using the Rasch model. A Rasch equating model was formulated to describe one common Rasch scale in different groups with different but overlapping sets of items. The item parameters can then be estimated simultaneously, avoiding different…
Descriptors: Equated Scores, Equations (Mathematics), Estimation (Mathematics), Foreign Countries
van der Linden, Wim J. – 1982
A latent trait method is presented to investigate the possibility that Angoff or Nedelsky judges specify inconsistent probabilities in standard setting techniques for objectives-based instructional programs. It is suggested that judges frequently specify a low probability of success for an easy item but a large probability for a hard item. The…
Descriptors: Criterion Referenced Tests, Cutting Scores, Error of Measurement, Interrater Reliability
Rogers, H. Jane; Hambleton, Ronald K. – 1987
Though item bias statistics are widely recommended for use in test development and analysis, problems arise in their interpretation. This research evaluates logistic test models and computer simulation methods for providing a frame of reference for interpreting item bias statistics. Specifically, the intent was to produce simulated sampling…
Descriptors: Computer Simulation, Cutting Scores, Grade 9, Latent Trait Theory
PDF pending restorationReckase, 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
Huntley, Renee M.; Carlson, James E. – 1986
This study compared student performance on language-usage test items presented in two different formats: as discrete sentences and as items embedded in passages. American College Testing (ACT) Program's Assessment experimental units were constructed that presented 40 items in the two different formats. Results suggest item presentation may not…
Descriptors: College Entrance Examinations, Difficulty Level, Goodness of Fit, Item Analysis
Eignor, Daniel R. – 1985
The feasibility of pre-equating, or establishing conversions from raw to scaled scores through the use of pretest data before operationally administering a test, was investigated for the Scholastic Aptitude Test (SAT). Item-response theory based equating methods were used to estimate item parameters on SAT pretest data, instead of using final form…
Descriptors: College Entrance Examinations, Equated Scores, Estimation (Mathematics), Feasibility Studies


