363
Views
4
CrossRef citations to date
0
Altmetric
Asia

Psychometric properties of the Chinese version of the prosocial and antisocial behaviour in Sport Scale

ORCID Icon, &
Pages 465-475 | Received 24 Dec 2015, Accepted 28 Oct 2016, Published online: 16 Nov 2016
 

Abstract

The Prosocial and Antisocial Behaviour in Sport Scale (PABSS) has recently been developed and used in various cultures and contexts to measure athletes’ moral behaviours. This research aimed to examine the psychometric properties of a translated Chinese version of PABSS. A sample of 390 Chinese student athletes (male = 313, female = 75, missing = 2) were recruited from a tertiary institution. They completed the Chinese version of PABSS and two scales measuring fear of failure and intrinsic motivation. The PABSS data were split into two sub-samples and subjected to two confirmatory factor analyses. The results supported the four-factor structure of the Chinese translated PABSS. The four subscales of the PABSS evidenced hypothesised relationships between fear of failure and intrinsic motivation. The PABSS demonstrated adequate internal reliability and were invariant across age. Overall, the findings suggest that the Chinese version of PABSS has adequate psychometric properties to measure moral behaviours in sport.

Acknowledgements

We would like to thank all our helpers and participants.

Additional information

Funding

This research was supported by The Education University of Hong Kong (RG26/14–15R).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 242.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.