Generalizing the Regression Model
«Quantitative analyses are so often relegated to OLS techniques when they should not be. The authors more than adequately demonstrate the why, what, and how other procedures (GMM, SEM, panel regression, event history analysis to name a few) are far superior to the OLS approaches widely but inappropriately found in published research or used in practice. Kudos to them.»
Dane Joseph
This comprehensive text introduces regression, the general linear model, structural equation modeling, the hierarchical linear model, growth curve models, panel data, and event history models, and includes discussion of published implementations of each technique showing how it was used to address substantive and interesting research questions. Les mer
Detaljer
- Forlag
- SAGE Publications Inc
- Innbinding
- Paperback
- Språk
- Engelsk
- Sider
- 688
- ISBN
- 9781506342092
- Utgivelsesår
- 2021
- Format
- 25 x 20 cm
Anmeldelser
«Quantitative analyses are so often relegated to OLS techniques when they should not be. The authors more than adequately demonstrate the why, what, and how other procedures (GMM, SEM, panel regression, event history analysis to name a few) are far superior to the OLS approaches widely but inappropriately found in published research or used in practice. Kudos to them.»
Dane Joseph
«Generalizing the Regression Model is a highly accessible textbook that covers a remarkable array of complex material with ease. Its applications and examples make the material intuitive and interesting for students to learn.»
Jennifer Hayes Clark