LAUSR

The present study describes the development and validation of the good and evil character traits (GECT) scale. A set of 3,614 good and evil moral character descriptors (i.e., moral and immoral character traits) was selected from a dictionary of contemporary Chinese language and daily life expressions and ultimately condensed into 55 items. Then, exploratory factor analysis (EFA) and parallel analysis (PA) were conducted to explore the structure and final items of the GECT with sample 1 (n = 350), resulting in 21 good items and 32 evil items. After that, in confirmatory factor analysis (CFA) with sample 2 (n = 350), the resulting factor structure was confirmed for the 53-item scale (Study 1). Additionally, evidence of validity based on correlations with Honesty-Humility and Dirty Dozen was demonstrated (Study 2). The implications of our findings for the assessment of good and evil characters and further theoretical exploration are discussed.