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- Author:
-
Quian-Li Xue,
William Eaton
- Subject:
- Science and Technology, Social Sciences
- Institution Name:
- Johns Hopkins Bloomberg School of Public Health
- Collection:
-
JHSPH OpenCourseWare
- Grade Level:
- Post-secondary
- Abstract:
Presents quantitative approaches to theory construction in the context of multiple response variables, with models for both continuous and categorical data. Topics include the statistical basis for causal inference; principles of path analysis; linear structural equation analysis incorporating measurement models; latent class regression; and analysis of panel data with observed and latent variable models. Draws examples from the social sciences, including the status attainment approach to intergenerational mobility, behavior genetics models of disease and environment, consumer satisfaction, functional impairment and disability, and quality of life.
- Languages:
- English
- Material Type:
- Full Course, Lecture Notes, Syllabi
- Media Format:
- Graphics/Photos, Text/HTML, Downloadable docs
- Technical Requirements:
- Adobe Acrobat
- Conditions of Use:
-
Creative Commons Attribution-Noncommercial-Share Alike 2.5
No restrictions on your remixing, redistributing, or making derivative works.
Give credit to the author, as required.
Your remixing, redistributing, or making derivatives works comes with some
restrictions, including how it is shared.
Your redistributing comes with some restrictions. Do not remix or make
derivative works.
Copyrighted materials, available under Fair Use and the TEACH Act for US-based
educators, or other custom arrangements. Go to the resource provider to see
their individual restrictions.
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