Structural Equation Modelling (SEM) is a multivariate data analysis technique that combines factor analysis and multiple regression analysis in testing networks of causal relationships between variables. The aims and objectives of the workshop were achieved as participants were taken through the above topics. The workshop was aimed at social science researchers and research students who had some prior working knowledge of regression and factor analysis techniques and would like to extend their knowledge into analyzing more complex models. This workshop targeted and provided hands on practical training and skills to students and researchers who needed to develop quantitative skills in SEM using AMOS. The main objectives were to introduce student to the following topics:
- Introduction to Structural Equation Modelling (SEM)
- Confirmatory Factor Analysis
- Model Fit and Model Modification
- Validating the Measurement Model
- Specifying the Structural Model
- Building Nested Models
The following were the comments by some participants were:
The two-day training by Women in Tertiary Education (WITE) in conjunction with PearlRichard’s Foundation on SEM at PRF Lab. was very educative and insightful. The hands-on nature of the training coupled with the guide from the textbook really brought the subject home. Most importantly, the relatively small size of the class allowed for quality attention and support for all participants. It was indeed a great delight to be tutored by a professional with in-depth practical knowledge on the subject matter.
I am glad to have gone through the SEM Workshop for the first time. In my view the workshop has been an eye opener in my understanding of how to run quantitative analysis using SEM. The process was quite involving which requires continuous practice. After going through the SEM programme, I have a better understanding of how hypothesis tests run. My skills in excel has also been sharpened. The factor analysis, reliability and validity concepts have all been made clearer than before. In subsequent workshops, I would like the facilitator to consider the duration and also allow the students to do the practical session on their own under the supervision of the facilitator. We appreciate Dr. Sheena Boateng for the good work done.
I am practically a qualitative researcher with basic statistical knowledge, but was able to follow the workshop with facility. Dr. Boateng did a great job of explaining the complexities of SEM in an accessible manner that transcends academic discipline. The workshop also served as a great introduction of SPSS and AMOS. Overall, the SEM Workshop was well organised and accompanied by an excellent resource book that will enable the participants to continually review the material learned. The workshop inspired me to further build upon my quantitative data analysis skills.
This workshop is certainly one of the best workshops l have attended. The facilitator, Dr. Lovia Sheena Boateng is an excellent instructor, so passionate about what she does. She demystified all the allusions about Structure Equation Modelling (SEM). Though very technical and calls for constant practice, I now feel very confident and inspired towards my research. The training is really worth it and is also applicable for my PhD research. I really appreciate the deep insight provided by this fantastic workshop.
Dr. Sheena Lovia Boateng the facilitator was up to point and took her time to explain into details how to understand and read meaning into research articles done with SEM and participants were taught step by step process of producing and presenting SEM reports.
Each participant received a copy of the SEM book authored by Dr. Sheena Lovia Boateng, titled “Structural Equation Modelling (SEM) Made Easy for Business and Social Science Research Using SPSS and AMOS’. In all eleven (11) people took part in the workshop and all participants were satisfied and very happy with the content and delivery of the facilitator of these workshops.
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