Descriptor
| Causal Models | 1 |
| Comparative Analysis | 1 |
| Markov Processes | 1 |
| Maximum Likelihood Statistics | 1 |
| Meta Analysis | 1 |
| Monte Carlo Methods | 1 |
| Social Science Research | 1 |
| Statistical Inference | 1 |
Source
| Journal of Educational and… | 1 |
Author
| Draper, David | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
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Peer reviewedDraper, David – Journal of Educational and Behavioral Statistics, 1995
The use of hierarchical models in social science research is discussed, with emphasis on causal inference and consideration of the limitations of hierarchical models. The increased use of Gibbs sampling and other Markov-chain Monte Carlo methods in the application of hierarchical models is recommended. (SLD)
Descriptors: Causal Models, Comparative Analysis, Markov Processes, Maximum Likelihood Statistics
