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 [Video] (Unpublished)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
ID Code:3948
Deposited By: NCRM users
Deposited On:07 Sep 2016 15:40
Last Modified:09 Sep 2016 10:23

Repository Staff Only: item control page