2022年12月9日星期五

HKSQ Webinar on Using Structural Equation Modeling (SEM) to Determine the Associations Among Factors that Drive Performance

 HKSQ and TQM co-organized webinar on “Using Structural Equation Modeling (SEM) to Determine the Associations Among Factors that Drive Performance” on 9th Dec 2022. CityU EngD Society was a supporting organization. This webinar gave a brief overview of what SEM is, how it differs from common statistical models such as linear regression, and when it may be more useful than other statistical models. Before the webinar, Dr. Jane Wong (Chairman, HKSQ) introduced Hong Kong Society for Quality and the guest speaker – Dr. Frank Reichert (Assistant Professor of Interprofessional Education, Faculty of Education, The University of Hong Kong, HK SAR).


In the beginning, Dr. Frank Reichert introduced what is structural equation modeling (SEM) that can model unobserved, latent variables. It estimates a set of regressions simultaneously and examine the fit between theoretical model and empirical data.


Then Dr. Reichert mentioned the measurement in SEM based on theoretical assumptions (or hypotheses). They often employed theoretical constructs that cannot be observed such as aggression, motivation, intelligence, self-efficacy and project performance, etc.


The construct means latent variable that cannot be measured directly. After that he briefed when to use SEM. It is dealing with latent variables that have clear hypotheses and would like to test the relationship between multiple variables.


And then different models are introduced including Path Models, Confirmatory Factor Analysis and Confirmatory Composite Analysis, as well as, Structural Regression Model, etc.


Finally, he introduced different SEM software for application. 


Some literatures are suggested for further study.


Lastly, we had Q&A session to discuss the application of SEM in real case.

Reference:

HKSQ - http://www.hksq.org/

CityU EngD Society - https://engds.org/


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