Submitted for your approval: a cross-cultural study of attachment anxiety, contingencies of self-worth and selfie-related behaviour

Zhiying Yue and Michael A. Stefanone

Behaviour and Information Technology, 2022, vol. 41, issue 7, 1554-1565

Abstract: In this study, we examine the social and psychological motives for a set of strategic selfie-related behaviour including the manipulation and sharing digital images of oneself, captured by oneself. We argue that attachment anxiety stemming from provider relationships at a young age explains development of self-worth based on approval from others. The proposed mediation model demonstrates that approval-based self-worth then predicts selfie-related behaviour. Given the cross-cultural nature of our data, we conducted multi-group comparisons using nationality as a grouping variable. Path analysis results from culturally distinct samples of Singaporean (N = 236) and American participants (N = 336) revealed that approval-based self-worth mediated the relationship between attachment anxiety and selfie capturing frequency. The model explained more variance in American participants’ selfie-related behaviour. Attachment anxiety predicted composition editing and subject editing, but only for Americans. Implications for future research are discussed in evolving technological and cross-cultural contexts.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2021.1887353 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:41:y:2022:i:7:p:1554-1565

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2021.1887353

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().