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| Journal Articles | 8 |
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Peer reviewedWilson, Thomas P. – Sociological Methods and Research, 1979
A recent recommendation by Holt (EJ 200 576) that coefficients resulting from estimating log-linear and similar models should not be interpreted is argued to be based on lack of clarity about the substantive and theoretical importance of the choice between dummy and effect coding for categorical variables. (Author/GDC)
Descriptors: Expectancy Tables, Goodness of Fit, Mathematical Models, Probability
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
Peer reviewedRorvig, Mark E. – Journal of the American Society for Information Science, 1990
Reports on a test of the applicability of the theory of General Scalability to documents in terms of transitivity, substitutability, and independence. Implications for the construction of test collections in information retrieval research are examined. (24 references) (EAM)
Descriptors: Goodness of Fit, Information Retrieval, Information Theory, Least Squares Statistics
Peer reviewedFox, John; Moore, James C., Jr. – Social Psychology Quarterly, 1979
Fourteen experimental studies were reviewed using linear model of Berger et al. The model fits the data from these experiments remarkably well. These results demonstrate the utility and apparent validity of this theory of status-organizing processes. (Author/RD)
Descriptors: Cognitive Processes, Expectation, Goodness of Fit, Mathematical Models
Peer reviewedMueller, Ralph O. – Structural Equation Modeling, 1997
Basic philosophical and statistical issues in structural equation modeling (SEM) are reviewed, including model conceptualization, identification, and parameter estimation and data-model-fit assessment and model modification. These issues should be addressed before the researcher uses any of the new generation of SEM software. (SLD)
Descriptors: Computer Software, Estimation (Mathematics), Goodness of Fit, Identification
Peer reviewedBecker, Betsy Jane; Hedges, Larry V. – Journal of Educational Psychology, 1984
This article extends both the logic and the statistical procedures used in a recent analysis of Hyde's data on gender differences in cognitive abilities by Rosenthal and Rubin. The logic of a "model fitting" approach to meta-analysis is described. Relevant statistical procedures and goodness-of-fit tests are illustrated. (Author/BS)
Descriptors: Cognitive Ability, Cognitive Measurement, Effect Size, Goodness of Fit
Peer reviewedRetherford, Robert D.; Sewell, William H. – American Sociological Review, 1991
Confluence theory was developed to explain the negative effects of birth order on intelligence. Using aggregate, between-family, within-family, and paired-sibling data from the Wisconsin Longitudinal Study, tests the mathematical form of confluence theory and finds no support for it. Suggests that statistical methods used to fit the model to the…
Descriptors: Birth Order, Goodness of Fit, Intelligence Differences, Intelligence Quotient
Rentz, R. Robert; Rentz, Charlotte C. – 1978
Issues of concern to test developers interested in applying the Rasch model are discussed. The current state of the art, recommendations for use of the model, further needs, and controversies are described for the three stages of test construction: (1) definition of the content of the test and item writing; (2) item analysis; and (3) test…
Descriptors: Ability, Achievement Tests, Difficulty Level, Goodness of Fit
Peer reviewedAnd Others; Hambleton, Ronald K. – Review of Educational Research, 1978
Topics concerning latent trait theory are addressed: (1) dimensionality of latent space, local independence, and item characteristic curves; (2) models--equations, parameter estimation, testing assumptions, and goodness of fit, (3) applications test developments, item bias, tailored testing and equating; and (4) advantages over classical…
Descriptors: Ability, Bayesian Statistics, Goodness of Fit, Item Analysis


