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Printable Handouts
Navigable Slide Index
- Introduction
- Hierarchical Bayes models
- A hierarchical linear model
- Specification of covariates Zi
- The level-effect problem
- Example of the level effect (1)
- Motivation of hierarchical modeling
- Contextual influence: range-frequency theory
- Contextual influence: distance-density theory
- Range-frequency theory
- Range-frequency examples (1)
- Range-frequency examples (2)
- Combining with distance-density theory
- Example of the level effect (2)
- Model formalization: a hierarchical model
- Web-based 12-profile credit card survey study
- Web-based surveys
- Survey screen shots: screening process (1)
- Survey screen shots: screening process (2)
- Survey screen shots: screening process (3)
- Survey screen shots: screening process (4)
- Survey screen shots: introduction
- Survey screen shots: part 3 of the survey (1)
- Survey screen shots: part 3 of the survey (2)
- Survey screen shots: part 2 of the survey (1)
- Survey screen shots: part 2 of the survey (2)
- The "level effect" on APR is evident
- No significant change in part-worth of 1% cash
- No significant change in part-worth of travel
- Large level-effect estimate on APR
- In-sample fit model comparison
- Our proposed model fits the data best
- Proposed model predicts well to new context
- Summary and discussion
- Future research
- References
Topics Covered
- Hierarchical Bayes models
- The level-effect problem
- Contextual influence
- Range-frequency theory
- Combining with distance-density theory
- Model formalization
- Web-based surveys
- In-sample fit model comparison
- Future research
Talk Citation
Liu, Q. (2010, January 27). Models for upper levels of a hierarchy [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved November 14, 2024, from https://doi.org/10.69645/SUPN3573.Export Citation (RIS)