Exploratory structural equation modeling for event‐related potential data—An all‐in‐one approach?

Volume: 56, Issue: 3
Published: Dec 7, 2018
Abstract
ERP data are characterized by high dimensionality and a mixture of constituting signals and are thus challenging for researchers to analyze. To address these challenges, exploratory factor analysis (EFA) has been used to provide estimates of the unobserved factors and to use these estimates for further statistical analyses (e.g., analyses of group effects). However, the EFA approach is prone to biases due to assigning individual factor scores to...
Paper Details
Title
Exploratory structural equation modeling for event‐related potential data—An all‐in‐one approach?
Published Date
Dec 7, 2018
Volume
56
Issue
3
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.