Relationship between university students’ emotional expression on tweets and subjective well-being: Considering the effects of their self-presentation and online communication skills

Table 5 Factors affecting their subjective well-being between different use patterns

Factors	Pattern 2		Pattern 4		Pattern 7
Factors	Standardized Coefficient	VIF	Standardized Coefficient	VIF	Standardized Coefficient	VIF
Internet usage time by smartphones	−.231^*	1.034
Ratio of positive sentences					.159 ^**	1.026
The number of Twitter accounts					−.113 ^*	1.018
Generalized trust	.271 ^***	1.192	.213 ^**	1.055
Self-indeterminate factor					−.150 ^**	1.118
Self-establishment factor	.195 ^#	1.439	.405 ^***	1.035	.333 ^***	1.129
Self-independency factor					− .189 ^***	1.115
Praise acquisition factor	.385^***	1.383	.229 ^**	1.037	.184 ^***	1.105
Self-appeal	−.319 ^**	1.283
R² (adj.)	.502		.313		.308
F-value	14.90 ^***		23.48 ^***		21.07 ^***

(1) Pattern 2 refers to exclusively Twitter users (n = 70); Pattern 4 refers to people who use Twitter and LINE (n = 149); and Pattern 7 refers to people who use Twitter, LINE, and Instagram (n = 282)
(2) ^***p < .001, ^**p < .01, ^*p < .05

ISSN: 1471-2458