Structural Equation Modelling (join a waiting list)

Date:

24/01/2013 - 25/01/2013

Organised by:

NCRM / University of Hertfordshire

Presenter:

Daniel Oberski, PhD, has published both applied and theoretical papers in the field of SEM, among them in the journal Structural Equation Modeling. He is currently visiting professor at the University of Maryland, College Park in the United States. His research interests include measurement error in questionnaires and SEM methodology

Level:

Entry (no or almost no prior knowledge)

Contact:

Jacqui Thorp
Training Administrator
National Centre for Research Methods
University of Southampton
Email: jmh6@soton.ac.uk

Map:

View in Google Maps  (AL10 9EU)

Venue:

University of Hertfordshire
Hatfield
Hertfordshire

Description:

Structural equation modelling (SEM) is a quantitative method that allows researchers to formulate, understand, and estimate a wide range of statistical models using standard software. To name a few: (Multivariate) regression, mediation models, instrumental variables, panel data analysis, growth curves, and factor analysis. SEM models also incorporate categorical, count and censored observed variables, as well as complex survey designs.

This course provides a fast-paced introduction to SEM. Participants will 1) gain knowledge of the wide range of problems that can be tackled with SEM; 2) do a basic analysis in SEM software and 3) learn how to educate themselves further on the topic by reading and reproducing others’ analyses.

Participants will need to bring their own laptops.

Cost:

The fee is:

1. £60 - For UK registered postgraduate students

2. £120 - For staff at UK academic institutions, ESRC funded researchers and registered charity organisations

3. £440 - For all other participants

All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.

Website and registration:

Region:

South East

Keywords:

Structural equation models

Related publications and presentations:

Structural equation models

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