Partial Least Squares-Structural Equation Modeling (PLS-SEM) Analysis of Team Success Using R

Mehmet Türegün
2019 Uluslararası Spor, Egzersiz ve Antrenman Bilimi Dergisi  
Keywords Aim: A combination of football becoming highly commercialized, technological advances made, and increasing amounts of data becoming available has made it possible for researchers to conduct statistical analyses of the various aspects of the game with an ultimate focus on determining the key factors for team success. Methods: This quasi-experimental study used an ex-post facto design to develop a model for team success. The sample consisted of 18 teams which played 306 matches in a
more » ... th long association football league format. A PLS-SEM path analysis was conducted using 11 latent variables. Results: Findings yielded a substantial overall model fit (GoF R 2 =0.811) for the measurement and structural models. The latent variables (LVs) of offense (β= 0.630, p< .001) and defense (β= 0.489, p< .001) had statistically significant effects on the LV of success. The exogenous LVs offense and defense predicted 79.9% of the variability of the LV success and its manifest variables.
doi:10.18826/useeabd.628653 fatcat:i2s7zic2lvcexjfovvdbhqjwr4