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Bentler, P. M.; Lee, Sik-Yum – Psychometrika, 1978
A special case of Bloxom's version of Tucker's three mode factor analysis model is developed statistically. A goodness of fit test and an empirical example are presented. (Author/JKS)
Descriptors: Factor Analysis, Goodness of Fit, Hypothesis Testing, Mathematical Models
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Hill, P. W.; McGaw, B. – American Educational Research Journal, 1981
In an attempt to resolve conflicting conclusions arising from an investigation of the validity of the claimed psychological properties of Bloom's taxonomy, the LISREL method was applied to the data of Kropp and Stoker. The simplex assumption was supported when the knowledge category is deleted from the taxonomy. (Author/RL)
Descriptors: Classification, Factor Structure, Goodness of Fit, Hypothesis Testing
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Regal, Ronald R.; Larntz, Kinley – Psychometrika, 1978
Models relating individual and group problem solving solution times under the condition of limited time (time limit censoring) are presented. Maximum likelihood estimation of parameters and a goodness of fit test are presented. (Author/JKS)
Descriptors: Goodness of Fit, Hypothesis Testing, Mathematical Models, Problem Solving
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Muthen, Bengt – Psychometrika, 1984
A structural equation model is proposed with a generalized measurement part, allowing for dichotomous and ordered categorical variables (indicators) in addition to continuous ones. A computationally feasible three-stage estimator is proposed for any combination of observed variable types. Two multiple-indicator modeling examples are given.…
Descriptors: Correlation, Goodness of Fit, Hypothesis Testing, Least Squares Statistics
Peer reviewed Peer reviewed
Brady, Henry E. – Psychometrika, 1985
The properties of nonmetric multidimensional scaling one explored by specifying statistical models, proving statistical consistency, and devloping hypothesis testing procedures. Statistical models with errors in the dependent and independent variables are described for quantitative and qualitative data. (Author/LMO)
Descriptors: Goodness of Fit, Hypothesis Testing, Mathematical Models, Maximum Likelihood Statistics
Peer reviewed Peer reviewed
Holt, D. – Sociological Methods and Research, 1979
Two techniques for interpretation of fitted log-linear models in contingency table analysis are discussed. The use of odds ratios as opposed to direct interpretation of the fitted model is argued for. (Author/JKS)
Descriptors: Expectancy Tables, Goodness of Fit, Hypothesis Testing, Mathematical Models
Peer reviewed Peer reviewed
Hubert, Lawrence J.; Baker, Frank B. – Psychometrika, 1978
The problem of comparing two sociometric matrices, as originally discussed by Katz and Powell in the early 1950's, is reconsidered and generalized using a different inference model. In particular, the proposed indices of conformity are justified by a regression argument similar to the one used by Somers. ( Author/JKS)
Descriptors: Goodness of Fit, Hypothesis Testing, Interpersonal Relationship, Mathematical Models
Peer reviewed Peer reviewed
Joreskog, K. G. – Psychometrika, 1971
Considers the study of similarities and differences in factor structures between different groups. (AG)
Descriptors: Computer Programs, Factor Analysis, Goodness of Fit, Hypothesis Testing
Keats, John B.; Brewer, James K. – 1971
This paper presents an index of goodness-of-fit for comparing m models over n trials. The index allows for differentiated weighting of the trials as to their importance in the comparison of the models. Several possible weighting schemes are suggested and the conditions on the weights which assure asymptotic normality of the index distribution are…
Descriptors: Goodness of Fit, Hypothesis Testing, Mathematical Models, Nonparametric Statistics
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Rogosa, David; Willett, John B. – Journal of Educational Statistics, 1985
A five by five covariance matrix representing longitudinal measurements at five occasions is used to illustrate that markedly different types of learning curves may generate indistinguishable covariance structures. An excellent fit of a simplex structure can be misleading. Common uses of covariance structure models for growth studies are…
Descriptors: Analysis of Covariance, Goodness of Fit, Hypothesis Testing, Longitudinal Studies
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Collins, Linda M.; And Others – Multivariate Behavioral Research, 1993
To assess problems in hypothesis testing and model comparisons based on normed indices caused by latent class models with sparse contingency tables, a simulation was carried out investigating the distributions of the likelihood ratio statistic, the Pearson statistic chi-square, and a new goodness of fit statistic. (SLD)
Descriptors: Chi Square, Comparative Analysis, Computer Simulation, Equations (Mathematics)
Khattab, Ali-Maher; Hocevar, Dennis – 1982
Traditionally, confirmatory factor analytic models are tested against a null model of total independence. Using randomly generated factors in a matrix of 46 aptitude tests, this approach is shown to be unlikely to reject even random factors. An alternative null model, based on a single general factor, is suggested. In addition, an index of model…
Descriptors: Aptitude Tests, Correlation, Factor Analysis, Goodness of Fit
Joreskog, Karl G. – 1970
This paper is concerned with the study of similarities and differences in factor structures between different groups. A common situation is when a battery of tests has been administered to samples of examinees from several populations. A very general model is presented, in which any parameter in the factor analysis models (factor loadings, factor…
Descriptors: Factor Analysis, Factor Structure, Goodness of Fit, Hypothesis Testing
Peer reviewed Peer reviewed
Davison, Mark L. – Psychometrika, 1976
Proposes a quadratic programming, least squares solution to Carroll's weighted unfolding model with nonnegativity constraints imposed on weights. It can be used to test various hypotheses about the weighted unfolding model with or without constraints. (RC)
Descriptors: Algorithms, Correlation, Goodness of Fit, Hypothesis Testing
Macready, George B.; Dayton, C. Mitchell – 1977
A probabilistic hypothesis testing procedure to assess the fit of hypothesized hierarchical structures for test item data is discussed. Statistical procedures are presented which are useful for evaluating the fit of data of a certain class of probabilistic models. These models apply to sets of dichotomous (O,1) responses for which there are…
Descriptors: Error of Measurement, Goodness of Fit, Hypothesis Testing, Mathematical Models
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