534
Views
3
CrossRef citations to date
0
Altmetric
Europe

Cross validation of hard-copy and web-based formats of the Sport Imagery Ability Measure

ORCID Icon, , & ORCID Icon
Pages 647-658 | Received 25 Apr 2017, Accepted 31 Dec 2017, Published online: 08 Feb 2018

References

  • Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16, 397–438. doi:10.1080/10705510903008204.
  • Bhasavanija, T., Vongjaturapat, N., Morris, T., & Muangnapo, P. (2011). Validation of the sport imagery ability measure in Thai for golf. Thai Journal of Sports Sciences, 8, 1–18.
  • Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). New York, NY: The Guilford Press.
  • Buchanan, T. (2003) Internet-based questionnaire assessment: Appropriate use in clinical contexts. Cognitive Behavior Therapy, 32, 100–109.
  • Budnik-Przybylska, D., Karasiewicz, K., Morris, T., & Watt, A. (2014). Reliability, factor structure, and construct validity of the Polish version of the sport imagery ability measure. Current Issues in Personality Psychology, 2(4), doi:10.5114/cipp.2014.47444.
  • Byrne, B. (2008). Testing for multigroup equivalence of a measuring instrument: A walk through the process. Psicothema, 20, 872–882.
  • Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: The tailored design method (4th ed.). Hoboken, NJ: John Wiley.
  • Farmer, A. Y., & Farmer, G. L. (2014). Research with diverse groups: Research designs and multivariate latent modeling for equivalence. New York, NY: Oxford University Press.
  • Gregg, M., & Hall, C. (2006). Measurement of motivational imagery abilities in sport. Journal of Sports Sciences, 24, 961–971. doi:10.1080/02640410500386167.
  • Hall, C. R., & Martin, K. A. (1997). Measuring movement imagery abilities: A revision of the movement imagery questionnaire. Journal of Mental Imagery, 21, 143–154.
  • Hirsch, O., Hauschild, F., Schmidt, M. H., Baum, E., & Christiansen, H. (2013). Comparison of web-based and paper-based administration of ADHD questionnaires for adults. Journal of Medical Internet Research, 15(3), e47. doi:10.2196/jmir.2225.
  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.
  • Krille, C., Wuttke, E., & Seifried, J. (2017). Mode effects in correcting students’ errors: A comparison of computer-based and paper-pencil tests. In E. Wuttke & J. Seifried (Eds.), Professional error competence of preservice teachers: Evaluation and support (pp. 47–74). Cham: Springer.
  • Marsh, H. W., Muthén, B., Asparouhov, T., Lüdtke, O., Robitzsch, R., Morin, A. J. S., & Trautwein, U. (2009). Exploratory structural equation modeling, integrating CFA and EFA: Application to students’ evaluations of university teaching. Structural Equation Modeling, 16, 439–476.
  • Martens, R. (1982). Imagery in sport. In M. L. Howell & A. W. Parker (Eds.), Proceedings of the Australian sports medicine federation international conference. Vol. 8. Sports medicine: Medical and scientific aspects of elitism in sport (pp. 213–230). Brisbane: Australian Sport Medicine Federation.
  • Morris, T., Spittle, M., & Perry, C. (2004). Mental imagery in sport. In T. Morris & J. Summers (Eds.), Sport psychology: Theory, applications and issues (pp. 344–387). Brisbane: Wiley & Sons.
  • Morris, T., Spittle, M., & Watt, A. (2005). Imagery in sport. Champaign, IL: Human Kinetics.
  • Muthén, L. K., & Muthén, B. O. (2012). Mplus user’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén.
  • Reips, U. D. (2006). Web-based methods. In M. Eid & E. Diener (Eds.), Handbook of multimethod measurement in psychology (pp. 73–85). Washington, DC: American Psychological Association.
  • Roberts, R., Callow, N., Hardy, L., Markland, D., & Bringer, J. (2008). Movement imagery ability: Development and assessment of a revised version of the vividness of movement imagery questionnaire. Journal of Sport & Exercise Psychology, 30, 200–221.
  • Sheehan, P. W., Ashton, R., & White, K. (1983). Assessment of mental imagery. In A. A. Sheikh (Ed.), Imagery: Current theory, research, and application (pp. 189–221). New York: Wiley & Sons.
  • Simonsmeier, B. A., & Buecker, S. (2017). Interrelations of imagery use, imagery ability, and performance in young athletes. Journal of Applied Sport Psychology, 29, 32–43. doi:10.1080/10413200.2016.1187686.
  • Spittle, M., Watt, A. P., & Morros, T. (2005). Psychometric comparison of measures of sport imagery ability and sport imagery use. In T. Morris (Ed.), Proceedings of the 11th world congress of sport psychology: Promoting health and performance for life. Sydney: International Society of Sport Psychology.
  • Tu, C. Y., Tseng, M. M., Chang, C. H., & Lin, C. C. (2017). Comparative validity of the Internet and paper-and-pencil versions of the Night Eating Questionnaire. Comprehensive Psychiatry, 75, 53–61.
  • Wang, C.-C., Liu, K.-S., Cheng, C.-L., & Cheng, Y.-Y. (2013). Comparison of web-based versus paper-and-pencil administration of a humor survey. Computers in Human Behavior, 29, 1007–1011. doi:10.1016/j.chb.2012.12.029.
  • Watt, A. (2003). Development and validation of the Sport Imagery Ability Measure (Unpublished doctoral dissertation). Victoria University, Melbourne, Australia.
  • Watt, A., & Jaakkola, T. (2003). Reliability and factor structure of the Finnish version sport imagery ability measure. In R. Stelter (Ed.), Proceedings of the 11th European congress of sport psychology. New approaches to exercise & sport psychology (pp. 182). Copenhagen: FEPSAC.
  • Watt, A. P., Morris, T., & Andersen, M. B. (2004). Issues in the development of a measure of imagery ability in sport. Journal of Mental Imagery, 28, 149–180.
  • Weibull, F., Johnson, U., & Watt, A. (2009). Psychometric analysis of the Swedish version of the sport imagery ability measure. In A. Baria (Ed.), Proceedings on CDROM of the ISSP 12th world congress of sport psychology: Meeting New challenges and bridging cultural gaps in sport and exercise psychology. Marrakesh: ISSP.
  • Williams, S. E., & Cumming, J. (2011). Measuring athlete imagery ability: The sport imagery ability questionnaire. Journal of Sport & Exercise Psychology, 33, 416–440.
  • Williams, S. E., & Cumming, J. (2012). Athletes’ ease of imaging predicts their imagery and observational learning use. Psychology of Sport and Exercise, 13, 363–370. doi:10.1016/j.psychsport.2012.01.010.
  • Williams, S. E., Cumming, J., Ntoumanis, N., Nordin-Bates, S. M., Ramsey, R., & Hall, C. (2012). Further validation and development of the Movement Imagery Questionnaire. Journal of Sport & Exercise Psychology, 34, 621–646.
  • Wyrick, D. L., & Bond, L. (2009). Reducing sensitive survey response bias in research on adolescents: A comparison of web-based and paper-and-pencil administration. Applied Research Brief: Measurement Issues, 25(5), doi:10.4278/ajhp.080611-ARB-90.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.