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Showing 1 to 15 of 66 results Save | Export
Ludlow, Larry H. – 1981
Residual patterns should be studied in order to understand when and why data deviate from a model. This paper illustrates some techniques for exploring residual patterns resulting from the difference between observed and expected scores as predicted by a Rasch model for polychotomous data. The score residual divided by its standard deviation is…
Descriptors: Goodness of Fit, Latent Trait Theory, Models, Statistical Analysis
Allerup, Peter – 1985
Approximately 1200 Danish school children aged 8, 11, and 14 participated in a questionnaire study under the caption, "Why I like to read." Data from Denmark formed part of an international study, in which 12 other countries used the same questionnaire to explore various functions of reading and to compare them over different countries.…
Descriptors: Data Collection, Elementary Education, Factor Analysis, Foreign Countries
Peer reviewed Peer reviewed
Fischer, Gerhard H. – Psychometrika, 1981
Necessary and sufficient conditions for the existence and uniqueness of a solution of the so-called "unconditional" and the "conditional" maximum-likelihood estimation equations in the dichotomous Rasch model are given. It is shown how to apply the results in practical uses of the Rasch model. (Author/JKS)
Descriptors: Latent Trait Theory, Mathematical Models, Maximum Likelihood Statistics, Psychometrics
Peer reviewed Peer reviewed
Baker, Frank B. – Review of Educational Research, 1977
Recent advances in item analysis have provided greater capabilities for the analysis of tests, but have also significantly increased the gap between the theory and practice of item analysis. This paper traces the lines of development in item analysis under latent trait theory. (MV)
Descriptors: Correlation, Item Analysis, Latent Trait Theory, Mathematical Models
Peer reviewed Peer reviewed
Holland, Paul W. – Psychometrika, 1981
Deciding whether sets of test data are consistent with any of a large class of item response models is considered. The assumption of local independence is weakened to a new condition, local nonnegative dependence (LND). Necessary and sufficient conditions are derived for a LND item response model. (Author/JKS)
Descriptors: Item Analysis, Latent Trait Theory, Mathematical Models, Psychometrics
Peer reviewed Peer reviewed
Marascuilo, Leonard A.; Slaughter, Robert E. – Journal of Educational Measurement, 1981
Six statistical methods for identifying possible sources of bias in standardized test items are presented. The relationship between chi-squared methods and item-response theory methods are also discussed. (Author/BW)
Descriptors: Comparative Analysis, Latent Trait Theory, Mathematical Models, Standardized Tests
McKinley, Robert L.; Reckase, Mark D. – 1983
Item response theory (IRT) has proven to be a very powerful and useful measurement tool. However, most of the IRT models that have been proposed, and all of the models commonly used, require the assumption of unidimensionality, which prevents their application to a wide range of tests. The few models that have been proposed for use with…
Descriptors: Estimation (Mathematics), Latent Trait Theory, Mathematical Models, Maximum Likelihood Statistics
Bart, William M.; Palvia, Rajkumari – 1983
In previous research, no relationship was found between test factor structure and test hierarchical structure. This study found some correspondence between test factor structure and test inter-item dependency structure, as measured by a log-linear model. There was an inconsistency, however, which warrants further study: more significant two-item…
Descriptors: Factor Structure, Interaction, Latent Trait Theory, Mathematical Models
Levine, Michael V. – 1976
The relatively hard problem of transforming a given set of curves to curves with the same shape can sometimes be reduced to the easier problem of rendering curves parallel. In this paper a group is associated with the given curves, and it is shown that the reduction from the hard problem to the easy problem is valid whenever the group is…
Descriptors: Career Development, Latent Trait Theory, Mathematical Applications, Mathematical Models
Engelen, Ron J. H.; And Others – 1988
Fisher's information measure for the item difficulty parameter in the Rasch model and its marginal and conditional formulations are investigated. It is shown that expected item information in the unconditional model equals information in the marginal model, provided the assumption of sampling examinees from an ability distribution is made. For the…
Descriptors: Ability, Difficulty Level, Foreign Countries, Latent Trait Theory
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van der Linden, Wim J.; Eggen, Theo J. H. M. – 1986
A procedure for the sequential optimization of the calibration of an item bank is given. The procedure is based on an empirical Bayes approach to a reformulation of the Rasch model as a model for paired comparisons between the difficulties of test items in which ties are allowed to occur. First, it is indicated how a paired-comparisons design…
Descriptors: Bayesian Statistics, Foreign Countries, Item Banks, Latent Trait Theory
Alvord, Gregory; Macready, George B. – 1982
The Pearson and likelihood ratio statistics are frequently used for assessing the absolute fit of probability models. Researchers are often interested in comparing fits provided by different models which may have a subsuming or non-subsuming relation. A subsuming relation exists when the parameters of the reduced model form a subset of those…
Descriptors: Comparative Analysis, Goodness of Fit, Latent Trait Theory, Mathematical Models
Jones, Douglas H. – 1981
A mathematical setting based on a statistical sampling probability mechanism is described. In this setting, a mathematical meaning is given for the information function; and it becomes possible to study the relative merits of various ability-estimating procedures. The maximum likelihood estimation procedure under the one-, two-, three-parameter…
Descriptors: Ability Identification, Estimation (Mathematics), Latent Trait Theory, Mathematical Models
Sympson, James B. – 1976
Latent trait test score theory is discussed primarily in terms of Birnbaum's three-parameter logistic model, and with some reference to the Rasch model. Equations and graphic illustrations are given for item characteristic curves and item information curves. An example is given for a hypothetical 20-item adaptive test, showing cumulative results…
Descriptors: Adaptive Testing, Bayesian Statistics, Item Analysis, Latent Trait Theory
Peer reviewed Peer reviewed
Yen, Wendy M. – Psychometrika, 1985
An approximate relationship is devised between the unidimensional model used in data analysis and a multidimensional model hypothesized to be generating the item responses. Scale shrinkage is successfully predicted for several sets of simulated data. (Author/LMO)
Descriptors: Difficulty Level, Hypothesis Testing, Item Analysis, Latent Trait Theory
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