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Structural Equation Modelling (SEM) with AMOS

Date:

04/12/2017 - 05/12/2017

Organised by:

University of Essex

Presenter:

Dr Misagh Tasavori

Level:

Entry (no or almost no prior knowledge)

Contact:

Proficio@essex.ac.uk
01026 873077

Map:

View in Google Maps  (CO4 3SQ)

Venue:

University of Essex
Wivenhoe Park
Colchester
Essex
Room number to be confirmed following booking.

Description:

This course will introduce participants to Structural Equation Modelling (SEM) . Structural equation modeling is a multivariate statistical analysis technique that is used to analyze structural relationships. This technique is the combination of factor analysis and multiple regression analysis, and it is used to analyze the structural relationship between measured variables and latent constructs.

The course is aimed at researchers and research students who have some experience of statistical modelling  and hypothesis testing and would like to extend a knowledge in analysing more complex data involving latent variables.  The workshop will be very practical and give participants the opportunity to apply what they have learnt into data analysis.  The software packages used will be SPSS and AMOS. Participants are expected to be familiar with SPSS but no knowledge of the AMOS will be assumed.

Learning outcomes will be as follows;

  • From measurement model to structural model

  • Basic analysis in AMOS

  • Developing a good model and hypothesis

  • Data screening

  • Exploratory factor analysis

  • Confirmatory factor analysis

  • Validating the measurement model

  • Multivariate assumptions

  • Building structural model

  • Mediation

  • Multigroup moderation
  • Interactions

Cost:

£380 for external academics and £500 for commercial delegates

Website and registration:

Region:

East of England

Keywords:

Quantitative Data Handling and Data Analysis, ICT and Software, SPSS, ICT and Software (other), , This course will introduce participants to Structural Equation Modelling (SEM) . Structural equation modeling is a multivariate statistical analysis technique that is used to analyze structural relationships. This technique is the combination of factor

Related publications and presentations:

Quantitative Data Handling and Data Analysis
ICT and Software
SPSS
ICT and Software (other)

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