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McDonald, Roderick P. – Educational and Psychological Measurement, 1978
It is shown that if a behavior domain can be described by the common factor model with a finite number of factors, the squared correlation between the sum of a selection of items and the domain total score is actually greater than coefficient alpha. (Author/JKS)
Descriptors: Factor Analysis, Item Analysis, Mathematical Models, Measurement
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Melzer, Charles W.; And Others – Educational and Psychological Measurement, 1981
The magnitude of statistical bias for the phi-coefficient was investigated, using computer simulated examinations in which all the students had equal knowledge. Several modifications of phi were tested, but when applied to real examinations, none succeeded in improving its reproducibility when items are re-used on equivalent student groups.…
Descriptors: Correlation, Item Analysis, Mathematical Models, Multiple Choice Tests
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Gati, Itamar – Educational and Psychological Measurement, 1981
This paper examines the properties of the Item Efficiency Index proposed by Neill and Jackson (1976; EJ 137 077) for minimum redundancy item analysis. (Author/BW)
Descriptors: Correlation, Factor Structure, Item Analysis, Mathematical Models
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Bart, William M.; Krus, David J. – Educational and Psychological Measurement, 1973
With the ordering-theoretic method of item hierarchy construction any array of bivalued item data can be analyzed to determine the item hierarchy structure. (Authors)
Descriptors: Item Analysis, Mathematical Models, Measurement Techniques, Organization
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Schmidt, Frank L. – Educational and Psychological Measurement, 1977
Urry's procedure for approximating latent trait test models is shown to tend to underestimate item discriminatory power and overestimate item difficulty. A method for correcting these biases is provided, and implications of the procedures are discussed. (Author/JKS)
Descriptors: Item Analysis, Latent Trait Theory, Mathematical Models, Test Bias
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Horst, Paul – Educational and Psychological Measurement, 1972
Author presents a method for calculating item factor scores which are independent of item trait scores. (MB)
Descriptors: Factor Analysis, Item Analysis, Mathematical Models, Measurement
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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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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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Wright, Benjamin D.; Douglas, Graham A. – Educational and Psychological Measurement, 1977
Two procedures for Rasch, sample-free item calibration are reviewed and compared for accuracy. The theoretically ideal "conditional" procedure is impractical for more than fifteen items. The more practical but biased "unconditional" procedure is discussed in detail. (Author/JKS)
Descriptors: Comparative Analysis, Item Analysis, Latent Trait Theory, Mathematical Models
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Whitely, Susan E.; Dawis, Rene V. – Educational and Psychological Measurement, 1976
Systematically investigates the effects of test context on verbal analogy item difficulty, in terms of both simple percentage correct and easiness estimates from a parameter-invariant model (Rasch, 1960). (RC)
Descriptors: Analysis of Variance, High School Students, Item Analysis, Mathematical Models
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Ludlow, Larry H. – Educational and Psychological Measurement, 1985
When the parameters of item response data are estimated by a latent trait model, some variation will remain unaccounted. If baseline graphical configurations of the residual variation can be constructed, measurement irregularities may be exposed. An analytic strategy for the graphical representation and analysis of Rasch model residuals is…
Descriptors: Goodness of Fit, Graphs, Item Analysis, Latent Trait Theory
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Rudner, 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
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Sachar, Jane; Suppes, Patrick – Educational and Psychological Measurement, 1980
The present study compared six methods, two of which utilize the content structure of items, to estimate total-test scores using 450 students and 60 items of the 110-item Stanford Mental Arithmetic Test. Three methods yielded fairly good estimates of the total-test score. (Author/RL)
Descriptors: Content Analysis, Correlation, Item Analysis, Item Sampling
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Brink, Nicholas E. – Educational and Psychological Measurement, 1972
Study compares the Rasch and the Guttman models of measurement and thus adds to the description of the characteristics of Rasch's logistic model. Such knowledge is of importance in making decisions as to which model and which statistics should be used in evaluations of tests. (Author/CB)
Descriptors: Comparative Analysis, Educational Testing, Error of Measurement, Goodness of Fit
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Bart, William.; And Others – Educational and Psychological Measurement, 1986
An alternative way of studying group differences is proposed based on ordering analysis using item hierarchies as a basis of comparison between two groups. Subjects were sets of twins in elementary school. Results showed that blacks and whites and males and females had similar item hierarchies for complex items. (Author/LMO)
Descriptors: Elementary Education, Group Testing, Intelligence Tests, Item Analysis
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