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Peer reviewedde Leeuw, Jan; Verhelst, Norman – Journal of Educational Statistics, 1986
Maximum likelihood procedures are presented for a general model to unify the various models and techniques that have been proposed for item analysis. Unconditional maximum likelihood estimation, proposed by Wright and Haberman, and conditional maximum likelihood estimation, proposed by Rasch and Andersen, are shown as important special cases. (JAZ)
Descriptors: Algorithms, Estimation (Mathematics), Item Analysis, Latent Trait Theory
Peer reviewedMuthen, Bengt; Lehman, James – Journal of Educational Statistics, 1985
The applicability of a new multiple-group factor analysis of dichotomous variables is shown and contrasted with the item response theory approach to item bias analysis. Situations are considered where the same set of test items has been administered to more than one group of examinees. (Author/BS).
Descriptors: Factor Analysis, Item Analysis, Latent Trait Theory, Mathematical Models
Cantwell, Zita M. – Evaluation News, 1985
The wording and structure of questionnaire items can interact with specified sample categories based on evaluation goals and respondent characteristics. The effects of the interactions can restructure samples and introduce bias into the data analysis. These effects, and suggestions for avoiding them, are demonstrated for five types of…
Descriptors: Higher Education, Item Analysis, Questionnaires, Statistical Bias
Peer reviewedGuralnick, Michael J.; Weinhouse, Ellen – Exceptional Children, 1983
Analysis of 621 peer-peer items in the zero to six year age range from 54 assessment tests revealed such results as that over one-third of the items featured social participation, and that problems were found with the tests' ability to identify peer-peer deficits and to provide a framework for intervention. (MC)
Descriptors: Disabilities, Disability Identification, Early Childhood Education, Interpersonal Competence
Peer reviewedRudner, Lawrence M. – Educational and Psychological Measurement, 1983
The relationship between item parameter values obtained from independent Birnbaum (l968) model calibrations of the same item set from two different samples is examined. (Author)
Descriptors: Achievement Tests, Aptitude Tests, Item Analysis, Latent Trait Theory
Peer reviewedMasters, Geofferey N. – Educational and Psychological Measurement, 1984
DICOT, a computer program for the Rasch analysis of classroom tests, is described. Results are presented in a self-explanatory form. Person ability and item difficulty estimates are expressed in a familiar metric. Person and item fit statistics provide a diagnosis of individual children and identification of problematic items. (Author/DWH)
Descriptors: Classroom Techniques, Foreign Countries, Item Analysis, Latent Trait Theory
Peer reviewedWilcox, Rand R. – Psychometrika, 1983
A procedure for determining the reliability of an examinee knowing k out of n possible multiple choice items given his or her performance on those items is presented. Also, a scoring procedure for determining which items an examinee knows is presented. (Author/JKS)
Descriptors: Item Analysis, Latent Trait Theory, Measurement Techniques, Multiple Choice Tests
Peer reviewedStegelmann, Werner – Psychometrika, 1983
The Rasch model is generalized to a multicomponent model, so that observations of component events are not needed to apply the model. It is shown that the generalized model maintains the property of specific objectivity of the Rasch model. An application to a mathematics test is provided. (Author/JKS)
Descriptors: Estimation (Mathematics), Item Analysis, Latent Trait Theory, Mathematical Models
Vacc, Nicholas A.; Loesch, Larry C.; Lubik, Ruth E. – 2001
Multiple choice tests are widely viewed as the most effective and objective means of assessment. Item development is the central component of creating an effective test, but test developers often do not have the background in item development. This document describes recall, application, and analysis, the three cognitive levels of test items. It…
Descriptors: Educational Assessment, Evaluation, Item Analysis, Measures (Individuals)
Wang, Jianjun; Staver, John – 1999
Development of the test instrument in the Third International Mathematics and Science Study (TIMSS) was based on the expertise of many researchers, including "distinguished scholars from 10 countries" who participated on the TIMSS Subject Matter Advisory Committee. However, a close examination of the TIMSS Science items suggests that not…
Descriptors: Achievement Rating, Elementary Secondary Education, Foreign Countries, Item Analysis
Liu, Jinghua; Schuppan, Fred; Walker, Michael E. – College Board, 2005
This study explored whether the addition of the items with more advanced math content to the SAT Reasoning Test™ (SAT®) would impact test-taker performance. Two sets of SAT math equating sections were modified to form four subforms each. Different numbers of items with advanced content, taken from the SAT II: Mathematics Level IC Test (Math IC),…
Descriptors: College Entrance Examinations, Mathematics Tests, Test Items, Difficulty Level
Peer reviewedBennett, S. N. – British Journal of Educational Psychology, 1973
The JEPI was re-analysed by item, factor and cluster analysis. (Editor)
Descriptors: Cluster Analysis, Correlation, Educational Psychology, Educational Research
Peer reviewedMcQuitty, Louis L. – Educational and Psychological Measurement, 1973
Paper analyzes additive variance in such a fashion that it supports both a theory of types and a cognitive-frustration theory of behavior in the development of tests designed to assess mental disturbance'' versus normality'' amongst college students. (Author)
Descriptors: Emotional Disturbances, Item Analysis, Psychological Testing, Tables (Data)
Peer reviewedBoard, Cynthia; Whitney, Douglas R. – Journal of Educational Measurement, 1972
For the principles studied here, poor item-writing practices serve to obscure (or attentuate) differences between good and poor students. (Authors)
Descriptors: College Students, Item Analysis, Multiple Choice Tests, Test Construction
Peer reviewedPyrczak, Fred – Reading Research Quarterly, 1972
Descriptors: Item Analysis, Multiple Choice Tests, Reading Comprehension, Reading Research


