Overview

Structural Equation Modelling (SEM) has become pervasive in the academic research arena. Top journals increasingly request complex analyses such as Structural Equation Modelling. Unfortunately, only a few researchers know how to conduct a Structural Equation Modelling analysis. Delegates will be introduced to the Structural Equation Modelling method and principles. They will gain an understanding of the various techniques to test and improve simple measurement models (Confirmatory Factor Analysis) and simple structural models.

This basic program lays a solid foundation for whoever wants to master this complex tool. Case studies are applied using IBM SPSS Amos or Smart PLS packages. This course is designed for academic researchers, postgraduate students (Masters and PhDs), research supervisors, lecturers and independent researchers. The course is delivered in two (2) sessions of six (6) hours each.

General computer literacy and sufficient SPSS knowledge are required for this course.

Course outline

• The origin of Structural Equation Modelling
• What is Structural Equation Modelling
• When do you use Structural Equation Modelling
• The power of Structural Equation Modelling
• How to develop a sound conceptual research model
• Covariance-based approach versus component-based approach
• OSMOZ process for Structural Equation Modelling analysis
• Testing, improving and interpreting a simple confirmatory factor analysis (CFA)
• Testing, improving and interpreting a simple structural model
• Practical: two (2) case studies

Course details

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Structural Equation Modelling (SEM Basic program)

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Overview

Structural Equation Modelling (SEM) is a family of statistical models that examines a series of dependence relationships simultaneously. It is particularly useful in testing theories that contain multiple equations involving dependence relationships. This intermediate program is an intensive and hands-on workshop designed to equip all researchers who are interested in publishing SEM-Based articles. Delegates will learn how to improve the measurement and structural models and provide statistical evidence of composite reliability, convergent validity and discriminant validity of the research instruments. Finally, participants will learn how to report their SEM results. Case studies are applied using IBM SPSS Amos or Smart PLS packages. The course is delivered in two (2) sessions of six (6) hours each.

Being familiar with IBM SPSS statistics and basic SEM knowledge is a prerequisite for this course.

Course outline

• Testing and improving the measurement model
• Interpreting and reporting the confirmatory factor analysis (CFA) results
• Testing and reporting on validity of the research instruments
• Testing and improving the structural model
• Interpreting and reporting the results of the structural model
• Practical:  two (2) case studies

Course details

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Structural Equation Modelling (SEM Intermediate program)

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Overview

Issues investigated by researchers are becoming increasingly complex and can no longer be addressed by the first-generation analytical tools. Thus, there is a broad and sustained interest in mediation and moderation analyses as a solution to explain complex relationships between variables. Top journals tend to give more credit to academic papers which include second or third order models, mediation, moderation and multi-group analyses. Moderation and mediation are particularly effective in informing a strategy or in guiding an intervention.

This advanced SEM program aims to train and equip researchers interested in publishing complex models (second and third order) with mediation and moderation analyses. Case studies are applied using IBM SPSS Amos or Smart PLS packages. This course is designed for researchers, post-graduate (Masters/PhD) candidates, Masters and PhD supervisors, lecturers and independent researchers. The course is delivered in two (2) sessions of six (6) hours each.

Being familiar with SPSS and intermediate SEM knowledge is a prerequisite for this course.

Course outline

• Testing and improving a complex measurement model
• Interpreting and reporting a complex confirmatory factor analysis (CFA) results
• Testing and improving a complex structural model
• Interpreting and reporting the results of a complex structural model
• Mediation analysis with practical case study
• Moderation analysis with practical case study
• Multigroup analysis with practical case study

Course details

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Structural Equation Modelling (SEM Advanced program)

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