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Shepard, Lorrie, And Others – Journal of Educational Statistics, 1981
Sixteen approaches for detecting item bias were compared on samples of Black, White, and Chicano elementary school pupils using the Lorge-Thorndike and Raven's Coloured Progressive Matrices tests. Recommendations for practical use are made. (JKS)
Descriptors: Ethnic Bias, Intermediate Grades, Item Analysis, Latent Trait Theory
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Masters, Geoff N. – Psychometrika, 1982
An extension of the Rasch model for partial credit scoring of test items is presented. An unconditional maximum likelihood procedure for estimating the model parameters is developed. The relationship of this model to Andrich's Rating Scale model and Samejima's Graded Response model are discussed. (Author/JKS)
Descriptors: Item Analysis, Latent Trait Theory, Maximum Likelihood Statistics, Measurement Techniques
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Meir, Elchanan I.; Gati, Itamar – Educational and Psychological Measurement, 1981
In many personality and interest inventories, a score profile, rather than a single score, is attributed to each subject. Six applicable criteria are suggested for use in examining the adequacy of items in such inventories. These criteria relate to the items' response distributions, internal consistency, and discriminative value. (Author/BW)
Descriptors: Evaluation Criteria, Interest Inventories, Item Analysis, Personality Measures
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Oluikpe, G.C. – British Journal of Educational Psychology, 1982
Presents a table of discriminatory values for selecting test items based on mean differences in responses between upper and lower scorers in an normally distributed population. Provides a means for classifying items as poor, fair, or good. Describes a simple method for rank ordering accepted items. (Author/MJL)
Descriptors: Discriminant Analysis, Elementary Secondary Education, Evaluation Methods, Item Analysis
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Kibblewhite, D. – Educational Studies, 1981
Describes a practical approach that teachers can use to check for test-item validity in test construction. The Kuder-Richardson Reliability Formula is used. Detailed instructions describe the procedure for evaluating items for difficulty and using statistical methods to determine test validity. (AM)
Descriptors: Elementary Secondary Education, Higher Education, Item Analysis, Statistical Analysis
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Duffelmeyer, Frederick A. – Journal of Reading, 1980
Concludes that inferential reading test questions are as likely to be passage dependent as factual test questions. (MKM)
Descriptors: Elementary Secondary Education, Item Analysis, Reading Research, Reading Tests
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Popyuk, William – System, 1980
Lists five objectives in creating an item bank for language proficiency test items and describes the design of an item bank card. Briefly discusses item analysis and population distribution in this system and points out the numerous advantages of the system and conditions for its success. (PMJ)
Descriptors: Item Analysis, Item Banks, Language Proficiency, Language Tests
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Wilcox, Rand R. – Educational and Psychological Measurement, 1980
Technical problems in achievement testing associated with using latent structure models to estimate the probability of guessing correct responses by examinees is studied; also the lack of problems associated with using Wilcox's formula score. Maximum likelihood estimates are derived which may be applied when items are hierarchically related.…
Descriptors: Guessing (Tests), Item Analysis, Mathematical Models, Maximum Likelihood Statistics
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Vegelius, Jan – Educational and Psychological Measurement, 1979
The computer program WEIGAN makes the weighted G analysis available for computer users. The input and output of the program are described. (Author/JKS)
Descriptors: Computer Programs, Correlation, Factor Analysis, Item Analysis
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Wilcox, Rand R. – Educational and Psychological Measurement, 1979
Wilcox has described three probability models which characterize a single test item in terms of a population of examinees (ED 156 718). This note indicates indicates that similar models can be derived which characterize a single examinee in terms of an item domain. A numerical illustration is given. (Author/JKS)
Descriptors: Achievement Tests, Item Analysis, Mathematical Models, Probability
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Noble, Gilbert H. – Educational and Psychological Measurement, 1977
A computer program providing comprehensive test and item analysis is presented. Completing its performance on one run, the program, written in Fortran and emphasizing ease of use, integrates various statistical techniques for analyzing individual items and the overall test, in addition to generating a variety of standard scores. (Author/JKS)
Descriptors: Computer Programs, Correlation, Equated Scores, Item Analysis
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Zumbo, Bruno D. – Language Testing, 2003
Based on the observation that scale-level methods are sometimes exclusively used to investigate measurement invariance for test translation, describes results of a simulation study investigating whether item-level differential item functioning (DIF) manifests itself in scale-level analyses such as single and multigroup factor analyses and per…
Descriptors: Factor Analysis, Item Analysis, Language Tests, Second Language Learning
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Raju, Nambury S. – Psychometrika, 1988
Formulas for computing the exact signed and unsigned areas between two item characteristic curves (ICCs) are presented. It is further shown that when the "c" parameters are unequal, the area between two ICCs is infinite. The significance of the exact area measures for item bias research is discussed. (Author)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Item Analysis, Latent Trait Theory
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Wilson, Mark – Applied Psychological Measurement, 1988
A method for detecting and interpreting disturbances of the local-independence assumption among items that share common stimulus material or other features is presented. Dichotomous and polytomous Rasch models are used to analyze structure of the learning outcome superitems. (SLD)
Descriptors: Item Analysis, Latent Trait Theory, Mathematical Models, Test Interpretation
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Guttman, Louis – Psychometrika, 1988
Two discrimination coefficients, known as "disco" and "odisco," are proposed for measuring the extent of overlap in distributions as a direct function of the variance between the arithmetic means. These coefficients are related to K. Pearson's "eta" (1905) and R. A. Fisher's "F" (1950). (SLD)
Descriptors: Analysis of Variance, Computer Software, Discriminant Analysis, Equations (Mathematics)
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