key ideas, terms and concepts in structural equation modelling
Sturgis, Patrick (2016) key ideas, terms and concepts in structural equation modelling. [Video] (Unpublished)
Full text not available from this repository.
Official URL: https://www.youtube.com/watch?v=NOWdrfQVWAI
Abstract
Professor Patrick Sturgis talks about path diagrams, exogenous, endogenous variables, variance/covariance matrices, maximum likelihood estimation, parameter constraints, nested Models and Model fit and model identification
| Item Type: | Video |
|---|---|
| Subjects: | 5. Quantitative Data Handling and Data Analysis > 5.6 Multilevel Modelling 5. Quantitative Data Handling and Data Analysis > 5.10 Latent Variable Models 5. Quantitative Data Handling and Data Analysis > 5.10 Latent Variable Models > 5.10.6 Factor analysis 5. Quantitative Data Handling and Data Analysis > 5.10 Latent Variable Models > 5.10.7 Confirmatory factor analysis 5. Quantitative Data Handling and Data Analysis > 5.10 Latent Variable Models > 5.10.8 Structural equation models |
| Depositing User: | NCRM users |
| Date Deposited: | 07 Sep 2016 15:40 |
| Last Modified: | 14 Jul 2021 14:02 |
| URI: | https://eprints.ncrm.ac.uk/id/eprint/3948 |
Actions (login required)
- View Item