Level: Intermediate
【Presenter】
Laura Castro-Schilo, JMP Sr. Research Statistician Developer, SAS Institute Inc.
[Announcement summary]
Structural equation model ( SEM ) Is a framework that allows you to study the association between observed and unobserved potential variables. SEM Many applications in have cross-section data, and this framework is also very flexible in modeling longitudinal data. In this presentation, the latent growth curve model (potential growth curve model) is used as a flexible tool for characterizing the growth trajectory over time. LGCM )This section explains. first, SEM After briefly explaining the basic concept of, I will show you how to incorporate the mean into the analysis to test the theory of growth. In this study, we applied a model to the data of "anxiety" and "dissatisfaction with health" reported by individuals during the outbreak of the pandemic of the new coronavirus. LGCM explain. Analysis revealed that resilience predicts unique patterns of change in the trajectory of anxiety and indefinite complaints.
* Play the video on this site, click "CC" at the bottom right of the screen, and select "English" to display English subtitles.
If you would like to download the presentation materials and data of this announcement, or watch them together with the Japanese transcript, Here Please click on the.
Go to the page for each presentation in the Discovery Summit Americas 2021 Presentation.
( SAS Profile Please note that you will be asked to log in to. )
