Psychometric properties of the Chinese version of the prosocial and antisocial behaviour in sport scale

Chunxiao LI, Koon Teck KOH, Qiang GUO

Research output: Contribution to journalArticlespeer-review

2 Citations (Scopus)

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. Copyright © 2016 International Society of Sport Psychology.
Original languageEnglish
Pages (from-to)465-475
JournalInternational Journal of Sport and Exercise Psychology
Volume16
Issue number5
Early online dateNov 2016
DOIs
Publication statusPublished - Sep 2018

Citation

Li, C., Koh, K. T., & Guo, Q. (2018). Psychometric properties of the Chinese version of the prosocial and antisocial behaviour in sport scale. International Journal of Sport and Exercise Psychology, 16(5), 465-475. doi: 10.1080/1612197X.2016.1256342

Keywords

  • Moral behavior
  • Validation
  • Reliability
  • Sport
  • China

Fingerprint Dive into the research topics of 'Psychometric properties of the Chinese version of the prosocial and antisocial behaviour in sport scale'. Together they form a unique fingerprint.