Event Title
Canonical Correlation Analysis as a General Analytic Model: Facts and Fiction
Date of Publication
2-2021
Document Type
Presentation
Abstract
Using the backdrop of canonical correlation analysis (CCA) as a general analytic model, this interactive workshop will test participants’ knowledge regarding the parsimony of analyses subsumed by CCA. Participants will also be asked to question published research that presents a simplistic hierarchy of the general linear model (GLM) and to consider the benefits of considering a data-driven map. Finally, participants will be challenged to consider if chocolate consumption really boosts Nobel award chances and if statistical software packages like R ever provide misleading error messages related to GLM analyses.
Keywords
Canonical Correlation Analysis (CCA), Analytic Models
Persistent Identifier
http://hdl.handle.net/10950/2819
Canonical Correlation Analysis as a General Analytic Model: Facts and Fiction
Using the backdrop of canonical correlation analysis (CCA) as a general analytic model, this interactive workshop will test participants’ knowledge regarding the parsimony of analyses subsumed by CCA. Participants will also be asked to question published research that presents a simplistic hierarchy of the general linear model (GLM) and to consider the benefits of considering a data-driven map. Finally, participants will be challenged to consider if chocolate consumption really boosts Nobel award chances and if statistical software packages like R ever provide misleading error messages related to GLM analyses.