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Structural Equation Modelling (SEM) with AMOS
20th September 2018 @ 8:00 am - 21st September 2018 @ 5:00 pm£390
|University of Essex
|Dr. Misagh Tasavori is a senior lecturer at the Business at Essex Business School. She obtained a PhD in Business Administration from Manchester Business School. She has the experience of teaching and conducting both qualitative and quantitative research and has published a number of papers in top-ranked journals including International Business Review, Entrepreneurship and Regional Development, International Marketing Review and Journal of General Management.
|20/09/2018 – 21/09/2018
|University of Essex
|View in Google Maps (CO4 3SQ)
|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.
Confirmatory factor analysis
Validating the measurement model
Building structural model
|Entry (no or almost no prior knowledge)
|£390 for external students/ academics
|Website and registration
|East of England
|Quantitative Data Handling and Data Analysis, ICT and Software, , Data screening , , Confirmatory factor analysis , , Validating the measurement model , , Multivariate assumptions , , Building structural model , , Mediation , , Multigroup moderation , , Interactions
|Related publications and presentations
|Quantitative Data Handling and Data Analysis
ICT and Software