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Langeheine, Rolf – Psychometrika, 1982
The degree to which Procrustean Individual Differences Scaling can be extended to related topics such as target analysis is discussed and a Monte Carlo study investigating the fit of the model under various conditions is presented. (JKS)
Descriptors: Data Analysis, Goodness of Fit, Individual Differences, Mathematical Models
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Nicholls, Paul Travis – Journal of the American Society for Information Science, 1989
Examines the elements involved in fitting a bibliometric model to empirical data, proposes a consistent methodology for applying Lotka's law, and presents the results of an empirical test of the methodology. The results are discussed in terms of the validity of Lotka's law and the suitability of the proposed methodology. (49 references) (CLB)
Descriptors: Bibliometrics, Data Analysis, Goodness of Fit, 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
Hambleton, Ronald K. – New Directions for Testing and Measurement, 1980
Latent trait models provide a new scale for reporting educational and psychological measurements. Characteristics, interpretations, and uses of these scales are considered. (Author/RL)
Descriptors: Goodness of Fit, Latent Trait Theory, Mathematical Models, Measurement Techniques
Beaton, Albert E. – 1981
Least squares fitting process as a method of data reduction is presented. The general strategy is to consider fitting (linear) models as partitioning data into a fit and residuals. The fit can be parsimoniously represented by a summary of the data. A fit is considered adequate if the residuals are small enough so that manipulating their signs and…
Descriptors: Goodness of Fit, Least Squares Statistics, Mathematical Models, Measurement Techniques
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Marsh, Herbert W. – Journal of Educational Measurement, 1987
This investigation tested the ability of an a priori hierarchical structure of self-concept derived from the Shavelson model to explain responses to the Self Description Questionnaire (SDQ) III, and demonstrated the application and problems with the use of hierarchical confirmatory factor analysis (HCFA). (Author/JAZ)
Descriptors: Factor Analysis, Factor Structure, Goodness of Fit, Mathematical Models
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Millsap, Roger E.; Everson, Howard – Multivariate Behavioral Research, 1991
Use of confirmatory factor analysis (CFA) with nonzero latent means in testing six different measurement models from classical test theory is discussed. Implications of the six models for observed mean and covariance structures are described, and three examples of the use of CFA in testing the models are presented. (SLD)
Descriptors: Comparative Analysis, Equations (Mathematics), Goodness of Fit, Mathematical Models
McKinley, Robert L.; Reckase, Mark D. – 1982
The usefulness of the general Rasch model for multidimensional data, from the most simple formulations to the more complex versions of the model, is explored. Also investigated was whether the parameters of the models could be readily interpreted. Models investigated included: (1) the vector model; (2) the product term model; (3) the vector and…
Descriptors: Data Analysis, Factor Analysis, Goodness of Fit, Latent Trait Theory
Werts, Charles E.; Linn, Robert L. – 1972
The Werts-Linn procedure for dealing with categorical errors of measurement in "Comments on Boyle's 'Path Analysis and Ordinal Data'" in The American Journal of Sociology, volume 76, number 6, May 1971, is shown to be inappropriate to the problem of ordered categories. (For related document, see TM 002 301.) (DB)
Descriptors: Data Analysis, Error of Measurement, Goodness of Fit, Mathematical Models
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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
Jones, Douglas H. – 1982
This paper briefly demonstrates a few of the possibilities of a systematic application of robustness theory, concentrating on the estimation of ability when the true item response model does and does not fit the data. The definition of the maximum likelihood estimator (MLE) of ability is briefly reviewed. After introducing the notion of…
Descriptors: Estimation (Mathematics), Functions (Mathematics), Goodness of Fit, Graphs
Curry, Allen R.; Riegel, N. Blyth – 1978
The Rasch model of test theory is described in general terms, compared with latent trait theory, and shown to have interesting applications for the measurement of affective as well as cognitive traits. Three assumption of the Rasch model are stated to support the conclusion that calibration of the items and tests is independent of the examinee…
Descriptors: Affective Measures, Goodness of Fit, Item Analysis, Latent Trait Theory
Werts, Charles E.; And Others – 1972
A stochastic disturbance term appears to be essential for structural models in the social sciences. The analysis of such models is considered from the perspective of Joreskog's (1970) general model for the analysis of covariance structure. (For related document, see TM 002 301.) (Author)
Descriptors: Analysis of Covariance, Error of Measurement, Goodness of Fit, Linear Programing
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Hays, Ron D.; White, Ken – Evaluation and the Health Professions, 1987
An article was published in the December 1985 issue of this journal that used LISREL to investigate the relationship between family medicine residents' moral reasoning and their clinical performance (Sheehan). The data from that study are reanalyzed to illustrate the importance of considering alternative structural equation models in evaluation…
Descriptors: Goodness of Fit, Graduate Medical Students, Higher Education, Hypothesis Testing
Wothke, Werner – 1987
Several multivariate statistical methodologies have been proposed to ensure objective and quantitative evaluation of the multitrait-multimethod matrix. The paper examines the performance of confirmatory factor analysis and covariance component models. It is shown, both empirically and formally, that confirmatory factor analysis is not a reliable…
Descriptors: Analysis of Covariance, Correlation, Estimation (Mathematics), Factor Analysis
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