Introduction to Factorl Analysis and Structural Equation Modelling

Date:

17/08/2015 - 19/08/2015

Organised by:

Aston Business School

Presenter:

Dr Kristina Schmidt

Level:

Intermediate (some prior knowledge)

Contact:

abssummerschool@aston.ac.uk

Map:

View in Google Maps  (B4 7ET)

Venue:

Aston Triangle

Description:

In general, this course is useful for two groups from various backgrounds: (1) those seeking a beginners’ to intermediate course in SEM and (2) those with previous experience who wish to learn about using R and specifically the “lavaan” package. The objective is that participants will (1) have a good understanding of the basic theory of SEM and (2) be able to implement SEM-type analyses with R. Hence, this course will be taught as part lecture/part applied workshop.

Overview:

Structural Equation Modelling (SEM) is a (if not the most) widely used multivariate technique for hypothesising complex relationships among variables and testing the resultant statistical models which is applied in many disciplines. R (www.R-project.org) is open source software that is becoming the global standard in statistical computing, offering an extensive collection of tools for data analysis. Specifically, the “lavaan” package provides commercial-quality latent variable modelling capabilities (e.g., Path Analysis, Confirmatory Factor Analysis, SEM, and Growth Curve Models).

Note that the course structure is modular: Participants may choose to attend Days 2 and 3 on Factor Analysis and SEM only or attend all three days, including the introductory sessions on Day 1 (depending on their level of prior knowledge as detailed on the long course outline).

Cost:

Student £150
Academic £250
Industry/Other £350

Website and registration:

Region:

West Midlands

Keywords:

Hypothesis testing research, Regression Methods, Multilevel Modelling , Quantitative Software

Related publications and presentations:

Hypothesis testing research
Regression Methods
Multilevel Modelling
Quantitative Software

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