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Braeken, Johan – Psychometrika, 2011
Conditional independence is a fundamental principle in latent variable modeling and item response theory. Violations of this principle, commonly known as local item dependencies, are put in a test information perspective, and sharp bounds on these violations are defined. A modeling approach is proposed that makes use of a mixture representation of…
Descriptors: Test Construction, Item Response Theory, Models, Tests

Colonius, Hans – Psychometrika, 1977
Parameter estimation for Keats generalization of the Rasch model that takes account of guessing behavior is investigated. It is shown that no minimal sufficient statistics for the ability parameters independent of the difficulty parameters exist. (Author/JKS)
Descriptors: Guessing (Tests), Item Analysis, Test Construction, Test Reliability

Samejima, Fumiko – Psychometrika, 1977
A new concept of weakly parallel tests, in contrast to strongly parallel tests in latent trait theory, is proposed. Some criticisms of the fundamental concepts in classical test theory, such as the reliability of a test and the standard error of estimation, are given. (Author)
Descriptors: Item Analysis, Latent Trait Theory, Measurement, Test Construction

Samejima, Fumiko – Psychometrika, 1977
A method of estimating item characteristic functions is proposed, in which a set of test items, whose operating characteristics are known and which give a constant test information function for a wide range of ability, are used. The method is based on maximum likelihood estimation procedures. (Author/JKS)
Descriptors: Item Analysis, Latent Trait Theory, Measurement, Test Construction

Raju, Nambury S. – Psychometrika, 1979
An important relationship is given for two generalizations of coefficient alpha: (1) Rajaratnam, Cronbach, and Gleser's generalizability formula for stratified-parallel tests, and (2) Raju's coefficient beta. (Author/CTM)
Descriptors: Item Analysis, Mathematical Formulas, Test Construction, Test Items
Maris, Gunter; Bechger, Timo M. – Psychometrika, 2004
It is shown that in the context of the Model with Internal Restrictions on the Item Difficulties (MIRID), different componential theories about an item set may lead to equivalent models. Furthermore, we provide conditions for the identifiability of the MIRID model parameters, and it will be shown how the MIRID model relates to the Linear Logistic…
Descriptors: Difficulty Level, Test Items, Models, Theories

Christoffersson, Anders – Psychometrika, 1977
A two-step weighted least squares estimator for multiple factor analysis of dichotomized variables is discussed. The estimator is based on the first and second order joint probabilities. Asymptotic standard errors and a model test are obtained by applying the Jackknife procedure. (Author)
Descriptors: Factor Analysis, Goodness of Fit, Item Analysis, Least Squares Statistics

Bentler, P. M.; Woodward, Arthur J. – Psychometrika, 1980
A chain of lower bound inequalities leading to the greatest lower bound to reliability is established for the internal consistency of a composite of unit-weighted scores (such as a test). Algorithms for obtaining various reliability coefficients are presented. (Author/JKS)
Descriptors: Factor Analysis, Item Analysis, Measurement Techniques, Test Construction

Cliff, Norman – Psychometrika, 1977
Measures of consistency and completeness of order relationships derived from test data such as Guttman scales are proposed. The measures are generalized to apply to incomplete data such as data from tailored testing. (Author/JKS)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Item Analysis

Lord, Frederic M. – Psychometrika, 1975
For the six available sets of empirical data, the discrimination (slope) parameter of the logistic item characteristic curve was found to have a significant positive correlation over items with the difficulty (location) parameter. This unpleasant situation can be eliminated by a suitably chosen transformation of the ability scale. (Author/RC)
Descriptors: Ability, Aptitude Tests, Correlation, Item Analysis