In the present study, we collected valence, arousal, concreteness, familiarity, imageability, and context availabili-ty ratings for a total of 1,100 Chinese words. The ratings for all variables were collected with 9-point Likert scales. We tested the reliability of the present database by comparing it to the extant Chinese Affective Word System, and performed split-half correlations for all six variables. We then evaluated the relationships between all variables. Regarding the affective variables, we found a typical quadratic relation between va-lence and arousal, in line with previous findings. Likewise, significant correlations were found between the semantic var-iables. Importantly, we explored the relationships between ratings for the affective variables (i.e., valence and arousal) and concreteness ratings, suggesting that valence and arousal ratings can predict concreteness ratings. This database of af-fective norms will be a valuable source of information for emotion research that makes use of Chinese words, and will enable researchers to use highly controlled Chinese verbal stimuli to more reliably investigate the relation between cog-nition and emotion.
The ratings for all variables were collected with 9-point Likert scales.