Dear all,
Sunmee Kim (PhD Candidate, McGill Psychology) will be speaking in our Cognitive Area Seminar this Friday, January 20th, 3:30 - 5 PM (Room S3/4, Stewart Biology Building, 1205 Docteur Penfield Avenue).
Her talk is titled: *"Using R Package {gesca} for Generalized Structured Component Analysis."*
For a full abstract, see below the dashed line.
Please join us at this event!
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Using R Package {gesca} for Generalized Structured Component Analysis Sunmee Kim, PhD Candidate,
Abstract: The R package {gesca} was recently released to implement generalized structured component analysis (GSCA). GSCA represents a component-based approach to structural equation modeling (SEM) that defines a latent variable as a component or weighted composite of indicators. In this presentation, I begin by briefly introducing the basic concept of GSCA and then provide real data examples to illustrate how the package handles the basic features of GSCA and its extensions (e.g., constrained single- and multiple-group analysis, and second-order latent variable modeling). This package enables users to obtain a variety of information on model fitting and evaluation, such as overall/local measures of model fit and parameter estimates with bootstrapped standard errors and confidence intervals. Moreover, in the package, users can easily specify their models based on an intuitive text-based syntax which is simply composed of variable names. Owing to its analytic versatility and ease of use, the package can be attractive to those wishing to apply GSCA to their research.