An Experimental Dataset on the Effect of Moral Elevation on Moral Judgment

The EEG data is synchronously recorded during the moral judgment stage using a 64 lead Neuroscan system, and the raw EEG signals are preprocessed. Relevant potentials are selected for time-domain and time-frequency analysis and stored in file format. In terms of data table structure, behavioral data includes subject number, group, trial type, reaction selection, and reaction time, which are recorded in milliseconds; The questionnaire data includes demographic variables such as subject number, age, and gender, as well as moral improvement scores, moral role model identification questionnaire scores, interpersonal response scores, and scores for each control variable scored using a Likert 5-point scale; EEG data provides preprocessed time-domain and time-frequency data files for further analysis. At the beginning of the experiment, a total of 76 participants were recruited, and 5 were excluded due to excessive EEG artifacts.

The corresponding behavior and questionnaire data were also synchronously deleted. The errors in EEG data mainly come from blinking and electromyographic activity, which have been maximally corrected through independent component analysis (ICA) algorithm. All files contain a column of unique subject numbers and are in Excel format.

Data files can be opened and processed using common text editors or statistical software such as Excel, SPSS, Mplus, etc.