| Literature DB >> 30519660 |
Hua Pang1,2.
Abstract
Although WeChat is currently one of the fastest growing social media in mainland China, many scholars and researchers are yet to systematically investigate the potential social and psychological consequences of the newly emerging online social network. Based on theory and previous studies, the principal purpose of this present study is to probe and understand whether and how the use of WeChat is related to individuals' friendship quality and psychological well-being. Research participants were a total of 508 college students who completed anonymous questionnaires gauging their WeChat usage behaviors, self-disclosure, friendship quality, and well-being. Using structural equation modeling, results demonstrate that the intensity of WeChat use is significantly correlated with college students' quality of friendships but not with perceived well-being. Moreover, the outcomes also reveal that students' friendship quality is a significant predictor of well-being. However, there is no relationship between online self-disclosure and friendship quality or well-being. Overall, these obtained findings of the empirical study could cast a much-needed light on the nuanced understanding of the certain social and technological affordances of WeChat and how it may ultimately impact individual's quality of life in the new media context.Entities:
Keywords: Psychology; Sociology
Year: 2018 PMID: 30519660 PMCID: PMC6260251 DOI: 10.1016/j.heliyon.2018.e00967
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Fig. 1The research model among WeChat interaction, friendship quality, and well-being.
Summary statistics for WeChat intensity.
| Individual Items and Scale | Mean | SD |
|---|---|---|
| WeChat Intensity (Cronbach's alpha = 0.85) | 2.98 | 0.78 |
| How many total WeChat friends do you have | 2.44 | 1.31 |
| On a typical day, approximately how much time do you spend on WeChat? | 2.77 | 1.51 |
| WeChat is part of my everyday activity | 3.48 | 0.99 |
| I am proud to tell people I am on WeChat | 2.74 | 0.86 |
| WeChat has become part of my daily routine | 3.53 | 0.92 |
| I feel out of touch when I haven't logged onto WeChat for a day | 2.76 | 1.11 |
| I feel I am part of the WeChat community at the campus | 3.04 | 1.00 |
| I would be sorry if WeChat shut down | 3.09 | 1.08 |
Notes: Unless provided, participants' response ranged from 1 = strongly disagree to 5 = strongly agree.
Means, standard deviations and intercorrelations of all variables.
| Variables | M | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
|---|---|---|---|---|---|---|---|---|---|
| 1. WeChat interaction | 2.98 | .78 | |||||||
| 2. Online self-disclosure | 2.63 | .49 | .046 | ||||||
| 3. Quality of friendships | 3.54 | .55 | .219∗∗ | −.067 | – | ||||
| 4. Life satisfaction | 2.84 | .67 | .036 | −.028 | .147∗∗ | – | |||
| 5. Social anxiety | 2.47 | .74 | .020 | .021 | −.021 | −.041 | – | ||
| 6. Gender | 1.56 | .50 | −.173∗∗ | .039 | −.181∗∗ | −.007 | −.008 | – | |
| 7. Age | 2.43 | 1.34 | .482∗∗ | −.057 | .019 | .032 | −.063 | −.002 | – |
Note: N = 508. M = mean. SD = standard deviations **p < .01.
Fig. 2AMOS analysis of the research model.