Descriptor
Analysis of Variance | 1 |
Bayesian Statistics | 1 |
Data Analysis | 1 |
Factor Analysis | 1 |
Goodness of Fit | 1 |
Individualized Instruction | 1 |
Item Sampling | 1 |
Mathematical Models | 1 |
Models | 1 |
Probability | 1 |
Reliability | 1 |
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Psychometrika | 2 |
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Lewis, Charles | 2 |
Tucker, Ledyard R. | 1 |
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Lewis, Charles; And Others – Psychometrika, 1975
A Bayesian Model II approach to the estimation of proportions in m groups is extended to obtain posterior marginal distributions for the proportions. The approach is extended to allow greater use of prior information than previously and the specification of this prior information is discussed. (Author/RC)
Descriptors: Bayesian Statistics, Data Analysis, Individualized Instruction, Models

Tucker, Ledyard R.; Lewis, Charles – Psychometrika, 1973
Maximum likelihood factor analysis provides an effective method for estimation of factor matrices and a useful test statistic in the likelihood ratio for rejection of overly simple factor models. A reliability coefficient is proposed for analysis of factor solution. (Author/RK)
Descriptors: Analysis of Variance, Factor Analysis, Goodness of Fit, Item Sampling