An Examination of the Causal Relationship among Self-Identity Development, Using SNS and SNS Addiction

Transcription

1 1) 2) 3) 1) 2) 3) An Examination of the Causal Relationship among Self-Identity Development, Using SNS and SNS Addiction Shohei KUBO 1), Kiriko SAKATA 2) and Hiroshi SHIMIZU 3) 1) JAPAN POST Co., Ltd. 2) Graduate School of Integrated Arts and Sciences, Hiroshima University 3) School of Sociology, Kwansei Gakuin University Abstract: The adolescent is the big turning point during the life. Adolescents must find positive answer for the question what is with the quality of oneself through interactions with neighboring people to develop SELF-IDENTITY. On the other hand, Social Network Services (SNS) are highly familiar to them, making SNS addiction become a big social problem. This study attempted causal relationship among self-identity development and using SNS, consequently SNS addiction, from the viewpoint of personal connections. A two-wave panel survey was conducted in April and July One hundred and thirty two Undergraduate students were requested to complete scales, which measures Identity development, loneliness, SNS addiction, the number of acquaintance in real life connected on SNS (real network size) and connected only on SNS (net-only network size). Results indicated that real network size significantly caused directly Identity development while net-only network size did not. Moreover, for those who had huge real network size, Identity development was promoted as net-only network size was huge. These results suggest that only for those who have the abundant network in real life, it may be said that the relations only on SNS become meaningful for developing their own Identity. Furthermore, they can show knowledge of importance to cultivate network in real life at first to receive benefits of using SNS. Keywords: Identity development, SNS addiction, Using SNS, Social ties 10 1 ( 2014) (2008)

2 Erikson (1959) ( ) (2001) (2007) (1992) ( 2012) (1998) SNS (Social Networking Service) SNS1076.3% %( 2014) ( 2013) SNS SNS SNS (2011) SNS SNS SNS SNS SNS (e.g Leung 2011) SNS SNS (e.g. 1) 2(Time 1: Time 2: 7 ) 132 (61M age =18.72 SD=0.87) ( ) 2 2 UCLA( ) SNS SNS SNS SNS 8(twitter Facebook LINE GREE Mobage Ameba mixi )

3 SNS 1 (3A) (3B) SNS (3A) (3B) SNS 1( ) (e.g. 6) SNS (NS) SNS ( OnlyNS)SNS NS ( 2005) 10SNS 1 2 SNS Time 1 Time 290 (Time Time ) SNSTime1 Time 2LINE 60%(Time Time ) twitter 30%( ) Facebook 5 ( ) SNSTime () 2 (Table1)1SNS SNS 2 SNS α 1Time 1 α=.780 Time 2 α=.719 2Time 1 α=.749 Time 2 α=.782 SNS SNS Time 1 Time 2 (Time 1 r =.51 Time 2 r =.36 p <.01Time 1 r =.52 Time 2 r =.44 p <.01) (Time 1 r =.21 p <.05 Time 2 r =.16 p <.10Time 1 r =.11 Time 2 r =.10 n.s.) SNS SNS 2SNS Table2 Time 1 Time 2 SNS2 2 NS

4 1 ( ) (α=.780) SNS SNS ( ) (α=.749) SNS SNS () Time1 NS OnlyNS -.30 ** ** * **.18 * Time2 NS OnlyNS -.23 ** ** * **.23 ** ** p <.01 * p <.05 OnlyNS 6 (Figure1) NS (β =.20 p <.05) OnlyNS (β = -.12 p <.05) (β =.13 p <.10) NS

5 SNS SNS SNS 2(NS OnlyNS) Time11 Step1 Time1 NS OnlyNS Step2 Step2 2Step3Time1 Time2 (Time2 - Time1) Step3 (β =.44 p <.05 Table3) Figure2 NS OnlyNS (β =.69 p <.05) OnlyNS (β = -.13 n.s.) VIF (Variance Inflation Factor)10.0 Time1 Time 2 NS.20 ** -.12 * NS OnlyNS.22 ** -.15 * OnlyNS.14 *.13 SNS ** p <.01 * p <.05 p <.10) n=106 CFI=.997 RMSEA=.028 Step1 ( ) Step2 Step NS.23 *.25 ** OnlyNS NS OnlyNS.44 ** R *.15 ** R *.04 * ** p <.01, * p <.05, + p <.10

6 SD +1SD (T2-T1) OnlyNS NS_-1SD NS_+1SD p <.05 n.s. SNS SNS SNS 2 SNS mixi(2009) SNS NS OnlyNS ( 2004) SNS SNS OnlyNS SNS Putnam (2000) () Kraut (1998) (Miyata 2002) NS OnlyNS (Rich-get-richer Model Kraut et al. 2002) SNS SNS SNS 1

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