Biomechanical Pathways in Volleyball Spike Performance A Path Analysis of Anthropometric and Technical Factors

Authors

  • Muhammad Syaleh Sekolah Tinggi Olahraga dan Kesehatan Bina Guna, Indonesia. Author
  • M. Ghozali Aufathul Akbar Sekolah Tinggi Olahraga dan Kesehatan Bina Guna, Indonesia. Author
  • Fadhil Ammar Rizqillah Lubis Sekolah Tinggi Olahraga dan Kesehatan Bina Guna, Indonesia. Author
  • Bastian Pratama Lumban Gaol Sekolah Tinggi Olahraga dan Kesehatan Bina Guna, Indonesia. Author
  • Boy Agustinus Sirait Sekolah Tinggi Olahraga dan Kesehatan Bina Guna, Indonesia. Author
  • Boisandi Buulolo Sekolah Tinggi Olahraga dan Kesehatan Bina Guna, Indonesia. Author
  • Yunita Mandasari Sekolah Tinggi Olahraga dan Kesehatan Bina Guna, Indonesia. Author
  • Dian Buono Sekolah Tinggi Olahraga dan Kesehatan Bina Guna, Indonesia. Author
  • Aulia Hidayati Ramadhana Sekolah Tinggi Olahraga dan Kesehatan Bina Guna, Indonesia. Author
  • Yupiter Prakasa Laia Sekolah Tinggi Olahraga dan Kesehatan Bina Guna, Indonesia. Author
  • Eka Selvia Tampubolon Sekolah Tinggi Olahraga dan Kesehatan Bina Guna, Indonesia. Author

DOI:

https://doi.org/10.53905/94zzy351

Abstract

Objectives: To examine the biomechanical factors influencing volleyball spike performance through path analysis, investigating direct and indirect relationships between anthropometric measurements, physical capabilities, and technical execution parameters.

Methods: Sixty elite volleyball players (30 male, 30 female) underwent comprehensive biomechanical testing, including anthropometric measurements, strength assessments, coordination tests, and performance measures. Path analysis was conducted using AMOS 26.0 software with bootstrapping (5000 samples) to evaluate relationships between variables. Multiple goodness-of-fit indices were used to assess model validity.

Results: Arm length demonstrated the strongest direct effect on spike velocity (β = 0.45, p < 0.001), with a total effect of β = 0.57 when including indirect pathways. Core strength significantly influenced spike performance through coordination (β = 0.35, p < 0.001). Shoulder rotational strength directly affected ball speed (β = 0.39, p < 0.001), while reaction time significantly influenced approach timing (β = -0.32, p < 0.01). The model showed good fit with RMSEA = 0.048 (90% CI: 0.039-0.057), CFI = 0.962, and TLI = 0.955. 

Conclusion: The study revealed complex interrelationships between anthropometric characteristics, physical capabilities, and technical execution in volleyball spike performance. Both direct physical attributes and their indirect effects through technical parameters contribute to successful spike execution. These findings provide evidence-based recommendations for training program design and talent development in volleyball.

Published

2026-05-25

How to Cite

Syaleh, M., Akbar, M. G. A., Lubis, F. A. R., Gaol, B. P. L., Sirait , B. A., Buulolo, B., Mandasari, Y., Buono, D., Ramadhana, A. H., Laia, Y. P., & Tampubolon, E. S. (2026). Biomechanical Pathways in Volleyball Spike Performance A Path Analysis of Anthropometric and Technical Factors. Joska: Jurnal Isori Kampar, 1(03), 109-113. https://doi.org/10.53905/94zzy351