*2.4.2 Individual differences: correlations and impacts on perceptual attributes judgments*

To assess the relations between individual difference measures, Pearson correlations were conducted on participants' age, the score of AAS, IRI and its sub-scales.

To assess the relations between measures on one's social media usage, different categorical measures were first transformed into the ranking scale *from short to long duration* (4 levels) for the Length of Using Social Media Per Day (Length), *from less to more frequent* (4 levels) for the Frequency of Using WeChat Per Day (Frequency of Wechat Usage) and for the Frequency of Using Emotive Stickers Per Day (Frequency of Sticker Usage). Spearman correlations were applied to these ranking scores.

To assess the impacts of individual differences on social attribute judgments, new ANOVAs based on what was described in 2.4.1 were performed with one individual difference measure included as an additional fixed factor and all other individual difference measures included as controlling factors. Besides measures of AAS and IRI, participant sex was also considered as the fixed factor. Follow-up analysis was planned whenever a significant interaction between these measures and Expression/ Form/Kind was shown. Linear regression models were built to assess the effects of scale measures on each expression. The effects of categorical measures were analyzed with ANOVA. The analyses were performed in R 3.6.0 within the R studio 1.2.1335.
