Descriptor
| Goodness of Fit | 3 |
| Matrices | 3 |
| Multiple Regression Analysis | 3 |
| Mathematical Models | 2 |
| Statistical Studies | 2 |
| Analysis of Variance | 1 |
| Bayesian Statistics | 1 |
| Correlation | 1 |
| Educational Testing | 1 |
| Factor Analysis | 1 |
| Factor Structure | 1 |
| More ▼ | |
Source
| Psychometrika | 2 |
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
| Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedJohnson, Richard M. – Psychometrika, 1975
A simple method of monotone regression is described based on the principle of minimizing pairwise departures from monotonicity. (Author)
Descriptors: Analysis of Variance, Goodness of Fit, Matrices, Measurement Techniques
McMurray, Mary Anne – 1987
This paper illustrates the transformation of a raw data matrix into a matrix of associations, and then into a factor matrix. Factor analysis attempts to distill the most important relationships among a set of variables, thereby permitting some theoretical simplification. In this heuristic data, a correlation matrix was derived to display…
Descriptors: Correlation, Factor Analysis, Factor Structure, Goodness of Fit
Peer reviewedBraun, Henry I.; And Others – Psychometrika, 1983
Empirical Bayes methods are shown to provide a practical alternative to standard least squares methods in fitting high dimensional models to sparse data. An example concerning prediction bias in educational testing is presented as an illustration. (Author)
Descriptors: Bayesian Statistics, Educational Testing, Goodness of Fit, Mathematical Models


