ERP study on the empathic processing of complaining speech

Data and stimuli examples from ERP experiment on the empathic processing of complaining speech. Data and Codes - File breakdown: CESC_GrandAverage_RIDE1200.erp: Grand Average ERP file, to open with EEGlab/ERPlab. Epoched 1200ms, artifact corrected and removed, bins assigned and RIDe-corrected. The bins of interest are bins 10 to 13. CESC_PCA_Onset_TS.ept: PCA main file, to open using EPtoolkit. This file contains all PCA factors and information PCA_analysis.r: Statistical analysis of the PCA data (using files listed below), to open with R/RStudio CESC_PCA_Onset-TFxSFx.txt: the windowed voltage estimation of peak channel at peak time for each condition for the corresponding factor. CESC_PCA_Onset-TFxSFx_all.txt: the windowed voltages of all channels for each condition for the corresponding factor. TFloadings.txt: Temporal factor loadings Participant_behavior.csv: Summarized behavioral ratings for each participant Posttest_summary.csv: Summarize individual data for IRI scales and explicit biases Results_IAT.csv: Summarized results from the Implicit Association Test CESC1_EEG_BehavioralAnalysis.r: Statistical analysis of the Behavioral data data (using files listed below), to open with R/RStudio CESC_Behavioral_data.csv: Data from the behavioral ratings