NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
ERIC Number: EJ511026
Record Type: Journal
Publication Date: 1995
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: ISSN-1076-9986
EISSN: N/A
Available Date: N/A
Inference and Hierarchical Modeling in the Social Sciences.
Draper, David
Journal of Educational and Behavioral Statistics, v20 n2 p115-47 Sum 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, Meta Analysis, Monte Carlo Methods, Social Science Research, Statistical Inference
Publication Type: Reports - Evaluative; Journal Articles
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A