Article Data

  • Views 1614
  • Dowloads 227

Original Research

Open Access

Validation of a Questionnaire that Surveys Confidence in Sports among Korean Competitive Athletes

  • Seyong Jang1
  • Han-Joo Eom1
  • Kyu-Dong Lee1,2
  • Won-Min Choi1
  • Ye-Lim Choi1
  • Hyun-Woo Kang1
  • Eun-Hyung Cho3

1College of Sport Science, Sungkyunkwan University, Suwon, Republic of Korea

2Physical Education Section, Korean National Police University, Asan, Republic of Korea

3Korea Institute of Sport Science, Korea Sports Promotion Foundation, Seoul, Republic of Korea

DOI: 10.22374/1875-6859.14.2.5 Vol.14,Issue 2,February 2018 pp.30-41

Published: 22 February 2018

*Corresponding Author(s): Eun-Hyung Cho E-mail: taedori1974@hanmail.net

Abstract

Background and Objective

This study aimed to verify the validity of a questionnaire that surveys confidence in sports among athletes in combat sports. The questionnaire addresses the concepts of persistence, calmness, hesitation, and physi-cal prime.

Material and Methods

Purposeful sampling using non-probability sampling was conducted in 367 players participating in uni-versity- and business-level athletics in the Republic of Korea. The data were analyzed using a multi-group confirmatory factor analysis and a second confirmatory factor analysis with linear structural relations (LISREL) version 8.5. Concept reliability and average variance extracted (AVE) values were calculated using Excel 2010 (Microsoft Corporation, Redmond, WA, USA). Two-way (2×2) randomized group (RG) analysis of variance (ANOVA) was conducted using the SPSS 18.0 program (IBM Corp., Armonk, NY, USA).

Results

We proved that the sub-factors measured by the survey questions were relatively exact regarding self-confidence in combat-sport athletes. The questions relating to self-confidence in sports could be applied to both male and female athletes alike. The scores were higher in male athletes than in female athletes in the following factors: fighting spirit, calmness, and performing under pressure. The scores of the national ath-letes were higher compared to those of the non-national athletes with respect to the body preparation factor.

Conclusion

These results suggest that the competitive sports questionnaire developed in a previous study could be utilized without difficulty in a confidence-related study of competitive sports athletes. The questionnaire is particularly effective in evaluating the confidence level of athletes.

Cite and Share

Seyong Jang,Han-Joo Eom,Kyu-Dong Lee,Won-Min Choi,Ye-Lim Choi,Hyun-Woo Kang,Eun-Hyung Cho. Validation of a Questionnaire that Surveys Confidence in Sports among Korean Competitive Athletes. Journal of Men's Health. 2018. 14(2);30-41.

References

1. Jang SY, Cho EH. An analysis of the sport confidence construct: competitive sports. Korean J Meas Eval Phys Educ Sport Sci 2014;16(1):23–36.

2. Jang SY. Reconceptualization of SSCQ (Sources of Sport Confidence Questionnaire). Korean J Phys Educ 2014;53(5):171–83.

3. Beattie S, Hardy L, Woodman T. Precompetition self-confidence: The role of the self. J Sport Exer Psychol 2004;26(3):427–41.

4. Bull SJ, Shambrook CJ, James W, Brooks JE. Towards an understanding of mental toughness in elite English cricketers. J Appl Sport Psychol 2005;17(3):209–27.

5. Edward T, Kingston K, Hardy L, Gould D. A qualitative analysis of catastrophic performance and the associ-ated thoughts, feeling, and emotion. Sport Psychol 2002;16(1):1–19.

6. Hanton S, Connaughton D. Perceived control of anxi-ety and its relationship to self-confidence and perfor-mance: A qualitative inquiry. Res Quart Exer Sport 2002;73(1):87–97.

7. Kim WB. Verification on the validity of sources of sport confidence questionnaire. Korean Soc Sport Psychol 1999;10(2):107–22.

8. Vealey RS, Hayashi SWF, Giacobbi P. Sources of sport-confidence conceptualization and instrument development. J Sport Exer Psychol 1998;20(1):54–80.

9. Martens R, Vealey RS, Burton D. Competitive anxiety in sport. Champaign, IL: Hum Kinet 1990.

10. Anderson JC, Gerbing DW. Structural equation mod-eling in practice: A review and recommended two-step approach. Psycholog Bull 1988;103(3):411–23.

11. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Market Res 1981;18(3):39–50.

12. Steenkamp JEM, Van Trijp HCM. The use of LISREL in validating marketing constructs. Int J Research Market 1991;8(4):283–99.

13. Marsh HW, Grayson D. Public/Catholic differences in high school and beyond data: A multigroup structural equation modeling approach to testing mean differences. J Educ Stat 1990;15(3):199–235.

14. Tucker LR, Lewis C. The reliability coefficient for maximum likelihood factor analysis. Psychometrika 1973;38(1):1–10.

15. Yang ES, Kim JH. The analysis of competitive state anxiety for Taekwondo athletes by CSAI-2. Korean Soc Sport Psychol 2010;21(1):69–84.

16. Chung YM, Cho IC. The study of the competitive state anxiety in high school Judo players. Korean Soc Phys Growth Motor Dev 1998;6(1):216–25.

17. Kim WB, Sung CH. Personality profiles of high school players in Korea: sixteen personality factor question-naire. Korean Soc Sport Psychol 2002;13(1):49–66.

18. Hays K, Maynard I, Thomas O, Bawden M. Sources and types of confidence identified by world class sport performance. J Appl Sport Psychol 2007;19(4):434–56.

19. Kim WB. An analysis of the sport mental power construct and development of the sport mental power inventory in Korean competitive sports. Korean Soc Sport Psychol 2002;13(3):21–41.

20. Jung MM, Eom HJ. Understanding and interpreta-tion of interaction effects in mutli-factor. ANOVA designs. Korean J Meas Eval Phys Educ Sport Science 2011;13(2):1–15.

Abstracted / indexed in

Science Citation Index Expanded (SciSearch) Created as SCI in 1964, Science Citation Index Expanded now indexes over 9,200 of the world’s most impactful journals across 178 scientific disciplines. More than 53 million records and 1.18 billion cited references date back from 1900 to present.

Journal Citation Reports/Science Edition Journal Citation Reports/Science Edition aims to evaluate a journal’s value from multiple perspectives including the journal impact factor, descriptive data about a journal’s open access content as well as contributing authors, and provide readers a transparent and publisher-neutral data & statistics information about the journal.

Directory of Open Access Journals (DOAJ) DOAJ is a unique and extensive index of diverse open access journals from around the world, driven by a growing community, committed to ensuring quality content is freely available online for everyone.

SCImago The SCImago Journal & Country Rank is a publicly available portal that includes the journals and country scientific indicators developed from the information contained in the Scopus® database (Elsevier B.V.)

Publication Forum - JUFO (Federation of Finnish Learned Societies) Publication Forum is a classification of publication channels created by the Finnish scientific community to support the quality assessment of academic research.

Scopus: CiteScore 0.7 (2022) Scopus is Elsevier's abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles (22,794 active titles and 13,583 Inactive titles) from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences and health sciences.

Norwegian Register for Scientific Journals, Series and Publishers Search for publication channels (journals, series and publishers) in the Norwegian Register for Scientific Journals, Series and Publishers to see if they are considered as scientific. (https://kanalregister.hkdir.no/publiseringskanaler/Forside).

Submission Turnaround Time

Conferences

Top