[Purpose/significance] In order to measure the degree of social media FoMO effectively and to provide the preliminary basis for related research, a robust and practical FoMO measurement scale has been designed. [Method/process] Firstly, through in-depth interviews with college students to obtain the original data, the FoMO preliminary scale has been prepared based on the key characteristics of FoMO extracted from the grounded theory encoding. Then, the initial scale has been used to obtain sample data, and optimized to form a formal scale. Finally, the FoMO degree category is determined by cluster analysis and the FoMO degree of specific users is determined based on the measured data. [Result/conclusion] The formal FoMO scale of 30 projects has been developed from four dimensions: situational features, behavioral characteristics, result characteristics and psychological characteristics. A relatively stable category of FoMO level has been formed, and 105 undergraduates have been selected from three universities to measure the degree of FoMO.
Ye Fengyun
,
Li Junjun
. The Development and Application of Measurement Scale for College Students' Mobile Social Media FoMO[J]. Library and Information Service, 2019
, 63(5)
: 110
-118
.
DOI: 10.13266/j.issn.0252-3116.2019.05.013
[1] PRZYBYLSKI A K,KOU M,DEHAAN C R,et al.Motivational,emotional,and behavioral correlates of fear of missing out[J].Computers in human behavior,2013,29(4):1841-1848.
[2] 赵宇翔,张轩慧,宋小康.移动社交媒体环境下用户错失焦虑症(FoMO)的研究回顾与展望[J].图书情报工作,2017,61(8):133-144.
[3] PRZYBYLSKI A K,KOU M,DEHAAN C R,et al.Motivational,emotional,and behavioral correlates of fear of missing out[J].Computers in human behavior,2013,29(4):1841-1848.
[4] HATO B.Mobile phone checking behavior out of a fear of missing out:development,psychometric properties and test-retest reliability of a C-FoMO-Scal[D].Tilburg:Tilburg University,2013:21-45.
[5] ALT D.College students'academic motivation,media engagement and fear of missing out[J].Computers in human behavior,2015,49(8):111-119.
[6] ABEL J P,BUFF C L,BURR S A.Social media and the fear of missing out:scale development and assessment[J].Journal of business & economics research (online),2016,14(1):33-44.
[7] 宋小康,赵宇翔,张轩慧.移动社交环境下用户错失焦虑症(FoMO)量表构建研究[J].图书情报工作,2017,61(11):96-104.
[8] 贾悦.国外手机依赖研究综述[J].北京邮电大学学报(社会科学版),2015,17(3):74-79.
[9] 姜永志,白晓丽.大学生手机依赖量表的初步编制与应用[J].教育心理学杂志,2013,1(3):181-187.
[10] 熊婕,周宗奎,陈武,等.大学生手机成瘾倾向量表的编制[J].中国心理卫生杂志,2012,26(3):222-225.
[11] 卡麦兹.建构扎根理论:质性研究实践指南[M].边国英,译.重庆:重庆大学出版社,2009:26.
[12] SEIDMAN I E.Interviewing as qualitative research:a guide for researchers in education and the social sciences(2nd ed)[M].New York:Teachers College Press,1998.
[13] ORNELL C,LARCKER D F.Evaluating structural equation models with unobservable variables and measurement error[J].Journal of marketing research,1981,18(1):39-50.
[14] 施国洪,岳江君,陈敬贤.我国图书馆服务质量测评量表构建及实证研究[J].中国图书馆学报,2010,36(4):37-46.
[15] 齐向华.图书馆电子服务质量评价量表的构建[J].情报理论与实践,2014,37(11):98-103.
[16] ANDERSON J C,GERBING D W.Structural equation modeling in practice:a review and recommended two-step approach[J].Psychological bulletin,1988,103(3):411-423.
[17] 吴明隆.结构方程模型——AMOS的操作与应用(第2版)[M].重庆:重庆大学出版社,2013:224.
