| Call Number | 15979 |
|---|---|
| Day & Time Location |
W 8:30am-11:20am To be announced |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Melanie Wall |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | This course is designed for those students (or any researchers) who want to gain a significant familiarity with a collection of statistical techniques that target the measurement of latent variables (i.e. variables that cannot be measured directly) as well as methods for estimating relationships among variables within causal systems. This course covers: both continuous and categorical latent variable measurement models (i.e. exploratory and confirmatory factor analysis, item response theory models, latent class and finite mixture models), as well as estimation of relationships in hypothesized causal systems using structural equation modeling. Data analysis examples will come from health science applications and practical implementation of all methods will be demonstrated using predominately the Mplus software, but also the R software. |
| Web Site | Vergil |
| Department | Biostatistics |
| Enrollment | 19 students (50 max) as of 7:06PM Thursday, January 2, 2025 |
| Subject | Biostatistics |
| Number | P8158 |
| Section | 001 |
| Division | School of Public Health |
| Note | Priorities: Biostatistics & Applied Biostatistics Data Scien |
| Section key | 20251BIST8158P001 |