Observed heterogeneity in players' football performance analysis using PLS-PM

DOI10.1080/02664763.2022.2101044OpenAlexW4285727089MaRDI QIDQ6089425

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Publication date: 14 December 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631390

zbMATH Keywords

heterogeneityfootballcomposite indicatoranalyticsPLS-PM

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Structural analysis of covariance and correlation matrices
• The wisdom of crowds and transfer market values
• Goodness-of-fit indices for partial least squares path modeling
• Generalized structured component analysis
• Assessing the market values of soccer players – a robust analysis of data from German 1. and 2. Bundesliga
• Treating unobserved heterogeneity in PLS path modeling: a comparison of FIMIX-PLS with different data analysis strategies
• Using the Hybrid Two-Step estimation approach for the identification of second-order latent variable models
• Exploring and modelling team performances of the Kaggle European Soccer database
• Structural Equation Modelling with Partial Least Squares Using Stata and R
• Discovering associations between players' performance indicators and matches' results in the European Soccer Leagues

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