Skip to content
Central European Journal of Sport Sciences and Medicine
Vol. 14, No. 2/2016
OpenAlex

Data describes this article or chapter.

Record found in the database

Citations
1
References
13
Citations by year
YearCitations
20211

Data retrieved:

View source (new tab)

For the whole journal, according to OpenAlex.

Citations
1 024
Publications
412
H-index
12
I10-index
20
Mean citedness (2 years)
0.43
Citations received by year
Journal citation chart. Exact values are available in the table below. 2017: 29 2018: 41 2019: 51 2020: 108 2021: 99 2022: 142 2023: 150 2024: 161 2025: 132 2026: 68 2017 2026
Show data table
Citations received by year
YearPublicationsCitations
20174229
20183341
20193551
202038108
20213899
202231142
202330150
202429161
202530132
20261668

Data retrieved:

What do these numbers mean?

Publications and citations cover records linked to this journal in OpenAlex. H-index is the largest number h of publications with at least h citations each. I10-index counts publications cited at least 10 times. The chart shows citations received in each year; the current year is incomplete. Coverage may differ from WNUS and other services.

The 2-year mean is an OpenAlex metric. It is not the Clarivate Journal Impact Factor.

View in OpenAlex (new tab)
Crossref

Data describes this article or chapter.

Record found in the database

Citations
1

Data retrieved:

View source (new tab)
OpenCitations

Data describes this article or chapter.

Citations
1

Data retrieved:

Citing publications
  1. 10.24193/subbeag.66(1).04 (2021)
View source (new tab)
DOAJ

Data describes this article or chapter.

Record found in the database

Data retrieved:

View source (new tab)
Google Scholar

Effect of an Educational Program about Game Statistics and a Goal-Setting Intervention in a Community College Women’s Volleyball Team

DOI: 10.18276/cej.2016.2-04
Cite

The full text is available

Abstract

The aim was to assess an educational program about game statistics and a goal setting intervention in a community college women’s volleyball team. The sample consisted of 12 players from a Midwestern community college women’s volleyball team. A quasiexperimental design with a pre-test, post-test, and re-test was done. The dependent variable was the players’ perception and use of the game statistics. The independent variable was the educational program about game statistics and goal setting. The coaches’ and players’ perception, level of satisfaction, and completion of the task during the sessions were recorded. Data were collected through questionnaires and interviews. A descriptive and inferential analysis of the results (t-test for evidence of relationship) was done. After the educational training, the players’ perceptions of their ability to understand, analyse, and use information about game statistics and do goal setting in practice and in competition increased significantly. The players used the information significantly more in their practice for all the game actions. Players believed that the abilities they learned helped to improve their performance and the way they practiced. The players believed that the intervention was useful, that it helped them to focus in practice, and that it helped them to focus on technique and the quality of the actions, as well as to better monitor their progress. The educational program was effective with regard to increasing players’ perception and understanding about statistics and in the use of statistics and goal setting in practice for monitoring the quality of their actions and their progress.
Preview PDF

Open PDF

Bibliography (19)
  1. Araújo, R.M.F., Neves, J.A., Mesquita, I.M.R. (2012). Procedural knowledge, decision making and performance in women’s volleyball according to age group and specific experience. Open Sports Sciences Journal, 5, 167–173. DOI: 10.2174/1875399X01205010167.
  2. Burton, D., Raedeke T.D. (2008). Sport psychology for coaches. Champaign, IL: Human Kinetics.
  3. Goldsmith, W. (2008, February 1st). Making sense of testing athletes. Sports Coaching Brain Blog [Web log message]. Retrieved from http://www.sportscoachingbrain.com/making-sense-of-testing-athletes.html.
  4. Hendry, D.T., Hodges, N.J. (2013). Getting on the right track: athlete-centred for expert performance. In: T. McGarry, P. O’Donoghue, J. Sampaio (eds.), Routledge Handbook of Sports Performance Analysis (pp. 5–20). London: Routledge.
  5. Hopkins, W.G. (2004). How to interpret changes in an athletic performance test. Sportscience, 8, 1–7.
  6. Kristiansen, E., Tomten, S.E., Hanstad, D.V., Roberts, G.C. (2012). Coaching communication issues with elite female athletes: Two Norwegian case studies. Scandinavian Journal of Medicine & Science in Sports, 22 (6), e156–e167. DOI: 10.1111/j.1600-0838.2012.01521.x.
  7. Kruger J., Dunning, D. (1999). Unskilled and unaware of it: how difficulties in recognizing one’s own incompetence lead to inflated selfassessments. Journal of Personality and Social Psychology, 77 (6), 1121–1134.
  8. Mesquita, I., Palao, J.M., Marcelino, R., Afonso, J. (2013). Chapter 29. Indoor volleyball and beach volleyball. In: T. McGarry, P. O’Donoghue, J. Sampaio (eds.), Routledge Handbook of Sports Performance Analysis (pp. 367–379). London: Routledge.
  9. Moreno, M.P., Moreno, A., Ureña, A., Iglesias, D., Villar F.D. (2008). Application of mentoring through reflection in female setters of the Spanish national volleyball team. A case study. International Journal of Sport Psychology, 39 (1), 59–76.
  10. National Collegiate Athletic Association (2012, July 15). NCAA Official volleyball statistics rules. Approved rulings and interpretations. Retrieved from http://www.ncaa.org/championships/statistics/ncaa-volleyball-statisticians-manuals.html.
  11. O’Donoghue, P., Mayes, A. (2013). Performance analysis, feedback and communication in coaching. In: T. McGarry, P. O’Donoghue, J. Sampaio (eds.), Routledge Handbook of Sports Performance Analysis (pp. 155–164). London: Routledge.
  12. Palao, J.M., Morante, J.C. (2013). Technical effectiveness. T. McGarry, P. O’Donoghue, J. Sampaio (eds). Routledge Handbook of Sports Performance Analysis (pp. 213–224). London: Routledge.
  13. Palao, J.M., Hernández-Hernández, E. (2014). Game statistical system and criteria used by Spanish volleyball coaches. International Journal of Performance Analysis in Sport, 14 (2), 564–573.
  14. Peña, J., Rodríguez-Guerra, J., Buscà, B., Serra, N. (2013). Which skills and factors better predict winning and losing in high-level men’s volleyball? The Journal of Strength & Conditioning Research, 27 (9), 2487–2493. DOI: 10.1519/JSC.0b013e31827f4dbe.
  15. Schleuder, S. (1998). Comprehensive volleyball statistics. A guide for coaches, media and fans. Arkansas City, AK: American Volleyball Coaches Association.
  16. Thomas, J.R., Nelson, J.K., Silverman S.J. (2011). Research methods in physical activity. Champaign, IL: Human Kinetics.
  17. Vansteenkiste, M., Mouratidis, A., Van Riet, T., Lens W. (2014). Examining correlates of game-to-game variation in volleyball players’ achievement goal pursuit and underlying autonomous and controlling reasons. Journal of Sport Exercise Psychology, 36 (2), 131–145. DOI: 10.1123/jsep.2012-0271.
  18. Weinberg, R., Butt, J. (2014). Goal-setting and sport performance. In: A.G. Papaioannou, D. Hackfort (eds.), Routledge companion to sport and exercise psychology: global perspectives and fundamental concepts (pp. 343–355). London: Routledge.
  19. Zetou, E., Papacharisis, V., Mountaki, F. (2008). The effects of goal-setting interventions on three volleyball skills: a single-subject design. International Journal of Performance Analysis in Sport, 8 (3), 79–95.